PreVetted Podcast

Federico Ramallo

Federico Ramallo spotlights extraordinary people, their great stories and remarkable talent that's reshaping our world! Powered by Density Labs - https://densitylabs.io

  1. #117 Aaron Gaeir: Fidgital experiences, emotion driven marketing, and AI proof brand loyalty

    HACE 1 DÍA

    #117 Aaron Gaeir: Fidgital experiences, emotion driven marketing, and AI proof brand loyalty

    Aaron Gaeir is the CEO and owner of GDX Studios in San Diego. In this conversation, Aaron explains how GDX Studios operates in the experience business and why he believes the future is “fidgital” where the physical and the digital become seamless. He shares the idea that people see thousands of ads a day, but decisions are driven by emotion, and the best way to evoke emotion is through real experiences that create strong memory and recall. Aaron breaks down why the most powerful experiences are sensory: touch, sound, smell, taste. AI can enhance experiences, but it cannot replace the tactile reality that makes moments feel authentic. He describes how physical experiences can actually drive digital communities, using Comic Con culture as a proof point: people build real relationships in person, then carry them into online worlds and fandom communities. He shares examples of large scale work, including a Brawl Stars floating island activation and a Ryder Cup live experience at Rockefeller Center, and explains how GDX uses environment and context to shape behavior and sentiment. A key theme is insight. Aaron argues that traditional market research often captures what people think they should say, not what truly drives them. His favorite analogy: surveys may say his wife likes Mexican food, but the real driver is margaritas. GDX aims to uncover those deeper “why” answers by creating trusted environments where people engage more honestly. He also shares how timing matters more than the perfect plan, why entrepreneurs must act fast and learn, and why he is always focused on making the next job better while building a culture of “people like us” risk takers and builders. About Aaron Gaeir: - https://www.linkedin.com/in/aaron-gaeir-82b97666/ - https://gdxstudios.com/ About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to GDX Studios and Aaron Geyer 00:55 The Experience Business and Fidgetal Engagement 02:02 The Importance of Human Connection in a Digital World 04:34 Emotional Influence in Decision Making 06:19 Comic-Con: Bridging Physical and Digital Communities 08:57 The Shift from Digital to Physical Experiences 10:37 Understanding Unique Insights Through Experiences 13:49 Creating Authentic Engagement and Dialogue 19:33 Nostalgia and Tactile Experiences in Storytelling 23:09 Building Brand Loyalty Through Experiences 26:36 Building Authentic Customer Relationships 31:17 The Pursuit of Excellence and Innovation 42:17 Advice for Aspiring Entrepreneurs

    45 min
  2. #116 Takashi Kokubun on ZJIT, Ruby Performance, and the Path from Japan to Shopify

    HACE 3 DÍAS

    #116 Takashi Kokubun on ZJIT, Ruby Performance, and the Path from Japan to Shopify

    Takashi Kokubun is a Staff Developer on the Ruby JIT team at Shopify, where he works on ZJIT, the next-generation Just-In-Time compiler for Ruby that shipped with Ruby 4.0. Before going deep on compilers full time, he worked on distributed systems and infrastructure, and along the way earned a Master of Science in Computer Science from Georgia Tech while working full time in the United States.His path into compiler engineering started with Haml, a Ruby template engine. Optimizing rendering performance taught him how template engines think like compilers: parse input, transform intermediate representations, generate optimized output. That hands-on experience gave him a foundation for understanding Ruby internals and eventually led to full-time work on YJIT and then ZJIT at Shopify.In this episode, Takashi explains JIT compilation without jargon: why interpreters are slow, how native machine code helps, and what the real tradeoffs are around warmup, memory, caching, and deployment. He also talks about how Shopify's Ruby infrastructure team works, what changed architecturally between YJIT and ZJIT, and what it means for a team to contribute to open source at this scale.The conversation also covers his move from Japan to the US, what drew him to Silicon Valley, and what he learned from earning a graduate degree while working full time. If you work in Ruby, care about language performance, or are just curious how a developer goes from hobbyist to contributor to world-class compiler engineer, this one is for you.About Takashi Kokubun 🔧⚡🐦Staff Developer, Ruby JIT Team at Shopify | ZJIT and YJIT Contributor- 🎤 ZJIT talk at SF Ruby: https://www.youtube.com/watch?v=XSdBCKepWHM- 📝 ZJIT launch post: https://railsatscale.com/2025-12-24-launch-zjit/About Federico Ramallo ✨👨‍💻🌎🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers- 💼 https://www.linkedin.com/in/framallo/- 🌐 https://densitylabs.io- ✅ https://prevetted.ai🎙 PreVetted Podcast 🎧📡- 🎯 https://prevetted.ai/podcast- 🐦 https://x.com/PrevettedPod- 🔗 https://www.linkedin.com/company/prevetted-podcast00:00 Introduction to Takashi Kokubun and His Work03:35 Journey into Software Engineering11:21 The Evolution of Compiler Interest20:23 Optimizing Ruby with JIT Compilers25:22 Optimizing Compilers: Parallels and Lessons Learned27:49 Caching Strategies: When to Optimize vs. Cache29:48 Development vs. Production: Managing Trade-offs34:29 ZGIT vs. YJIT: Architectural Improvements40:28 Cultural Insights: Moving from Japan to the US

    49 min
  3. #115 Joseph Kao Predictive Maintenance for Power Infrastructure with Magnetic Sensing and Edge AI

    HACE 6 DÍAS

    #115 Joseph Kao Predictive Maintenance for Power Infrastructure with Magnetic Sensing and Edge AI

    Joseph Kao is the CEO and co founder of Magnefy, a Stanford spin out building predictive monitoring for critical power assets like transformers, inverters, and power cables. He explains how Magnefy uses high frequency magnetic sensing, similar to an ECG for electrical equipment, to listen to the “heartbeat” of the grid and detect early anomalies months in advance. Joseph shares why this matters now: millions of transformers are aging, replacement lead times are stretching into years, and operators need earlier, more reliable signals to prevent costly outages and catastrophic events. In the conversation, Joseph breaks down what the sensor measures, how current flow creates magnetic fields, and how the platform converts high fidelity waveform data into actionable insights. He also explains the role of AI in separating noise from real faults, classifying failure types, reducing false positives, and fusing multiple data sources like temperature and gas samples into a dynamic health score and fleet ranking. Joseph traces his founder story back to growing up in Taiwan recycling with his grandparents, his UC Berkeley PhD in materials science, and his work at Apple and Meta on advanced materials for AR and VR. He shares how those experiences shaped his approach to de risking hard technical problems, building strong teams, and translating user needs into engineering requirements. He also discusses his angel investing through Kalford One, what he looks for in early deep tech founders, and the energy trends he is watching, including behind the meter power, storage, and new generation options. He closes with advice to be bolder earlier and pursue higher impact paths. About Joseph Kao: - https://www.linkedin.com/in/josephkao-sfbay/ About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Magnify and Joseph Kao 01:20 Understanding Predictive Maintenance in Power Infrastructure 04:17 Joseph's Journey: From Material Science to Magnify 09:52 The Role of AI in Predictive Monitoring 15:11 Challenges and Innovations in Sensor Technology 19:13 Leadership Lessons from Big Tech to Startups 24:58 Investing in the Future: Supporting Deep Tech Founders 28:32 The Future of Energy: Alternative Sources and Resilience 32:04 Closing Thoughts and Encouragement for Entrepreneurs

    33 min
  4. #114 Ray Smith: From Dairy Farm Grit to Business Credit Funding for Entrepreneurs

    1 ABR

    #114 Ray Smith: From Dairy Farm Grit to Business Credit Funding for Entrepreneurs

    Ray Smith: Ray grew up on a 3500 acre dairy farm in South Dakota, where hard work, community, and resilience were daily lessons. That early exposure to uncertainty, like storms wiping out crops after months of effort, shaped his drive for a more predictable path and pushed him toward entrepreneurship. He started young, selling long distance phone service at 18, then moved into subprime credit card processing in Las Vegas, building a call center operation that reached about 65 employees. A turning point came suddenly in December 2004, when the bank partner shut down the subprime division and Ray had to tell his team the business was over overnight. Instead of stopping, he pivoted. With a database of consumers who needed support, he moved into credit repair, helping people remove negative items and rebuild the ability to function financially again. Later, he identified a bigger gap: most everyday payments like rent and utilities were not reported to credit bureaus, even though they represent the majority of how people pay. That insight led him to design a process to add positive payment data and pursue patent protection, using prepaid debit card rails to track and report payments. In February 2009, Trycera Financial appointed him President and CEO, and he has led the company since then. Over time, Ray built deep expertise in how bureaus, lenders, and underwriting systems work. When COVID hit in 2020, Ray saw business owners face the same kind of uncontrollable shock he remembered from the farm. He shifted Trycera’s focus toward helping entrepreneurs build business credit using their EIN, not their personal credit. He explains why the business credit world feels broken: many vendors pull bureau data to judge a business, but most do not report to the bureaus, leaving owners with thin files and forcing personal guarantees. Trycera’s answer is a fundability foundation platform that aligns business identity data across public records and bureaus and matches founders to lenders based on real requirements, increasingly enforced by AI driven underwriting. Throughout the conversation, Ray and Federico discuss courage, integrity, and the reality of entrepreneurship beyond the hype. Ray emphasizes that founders are not “failing” but testing, and that progress requires mentors and a dream team. He closes with a call to be fearless, respect money and responsibility, and keep moving forward through uncertainty. About Ray Smith: - https://www.linkedin.com/in/ray-smith-95130516/ - https://trycera.com/fundability About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Ray Smith and Tricera Financial 05:08 The Journey from Dairy Farm to Financial Services 09:26 Resilience and Grit in Business 15:14 Building Business Credit and Supporting Entrepreneurs 20:33 Navigating the Challenges of Business Funding 25:44 The Reality of Entrepreneurship 31:19 Lessons from Past Experiences 36:08 Advice for Aspiring Entrepreneurs 40:42 The Role of Technology in Business Credit

    44 min
  5. #113 Ryan Baird Silicon Valley capital, family offices, and why traction beats hype

    31 MAR

    #113 Ryan Baird Silicon Valley capital, family offices, and why traction beats hype

    Ryan Baird joins Federico Ramallo on the PreVetted Podcast to explain how he operates across three business units and why each one starts with the same principle: focus on risk. Ryan leads Baird Augustine, a Silicon Valley cross border investment bank working with 33 family offices deploying about 20 billion dollars annually, and helps founders through “corporate development as a service,” from capital raises and M and A to advisors, board building, earned media, and executive recruiting. He also shares how Focus on Risk began as an investor community designed to cut through startup noise by curating rooms for investors first, then featuring breakout portfolio companies and asking the questions that matter: why now, why this team, and why this bet. Ryan explains why Silicon Valley keeps compounding advantages, from dense talent networks to capital concentration, and why relationship based culture mattered in the early HP era even as modern companies and startups trend more transactional. On what makes a startup fundable, Ryan is blunt: revenue and traction solve most problems, but founders also underestimate how much clear communication matters. The pitch is not just for raising money, it is proof you can sell, recruit, earn media, and raise the next round. He also breaks down how he separates hype from substance by looking for real usage and pattern breakers, not copycat pattern recognizers. Ryan closes by describing Asymmetrical Alpha, his hedge fund strategy focused on market leaders in space, robotics, web3, and AI, and shares what family offices often miss about venture: most do not need it. Finally, he outlines his near term vision for using AI agents to automate smaller debt deals and expand access to lenders faster and more efficiently. About Ryan Baird: - https://Www.BairdAugustine.com About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Ryan Baird and His Ventures 02:53 Investment Strategies and Focus on Risk 05:34 The Importance of Quality Startups 08:28 Cross-Border Investment Banking Explained 10:12 Cultural Differences in Startup Ecosystems 13:39 The Role of Founders in Attracting Investment 16:31 Understanding Risk in Investment Decisions 18:54 The Emotional Component of Venture Capital 21:56 Traction and Timing in Startup Success 23:43 Lessons from Laika and Future Aspirations

    45 min
  6. #112 Carmine Paolino on RubyLLM, Chat with Work, and Building AI Products Solo

    28 MAR

    #112 Carmine Paolino on RubyLLM, Chat with Work, and Building AI Products Solo

    Carmine Paolino is an AI builder and founder based in Berlin. He co-founded Freshflow to help supermarkets reduce food waste, built RubyLLM, an open source library that makes working with LLMs in Ruby feel simple and elegant, and is now building Chat with Work, a workplace knowledge assistant that connects tools like Google Drive and Slack so teams can find answers without guessing where information lives. In this episode, Carmine talks about what it means to build AI products as a solo founder, and how he went from thinking he could not build a company on his own to shipping two products. He explains the “all knowing coworker” idea behind Chat with Work: less time searching, better onboarding, and context that follows you across follow up questions. He also breaks down why Ruby is a serious language for AI, what was missing before RubyLLM existed, and his philosophy of building for yourself first. On the technical side, he covers streaming with Hotwire, fiber-based concurrency, and how to keep a Rails stack simple while handling real LLM workloads. Outside of code, Carmine produces electronic music and DJs in Berlin. The same instinct that drives his engineering, curiosity, craftsmanship, and building things that feel right, shows up in both. About Carmine Paolino 🤖🎵🇩🇪 AI Builder, Founder of Chat with Work and Creator of RubyLLM | Berlin - 🌐 https://paolino.me/ - 🐦 https://x.com/paolino - 💎 https://rubyllm.com/ - 💼 https://chatwithwork.com/ About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Carmine Paolino and His Journey 05:33 Transition to Linux and Learning Programming Languages 10:45 Founding Fresh Flow and Current AI Projects 15:52 Technical Insights on Ruby LLM and Chat with Work 22:16 Understanding Ruby's Threading and Fiber Efficiency 27:10 The Beauty of IO Multiplexing and Fiber Implementation 31:40 Finding the Balance Between Complexity and Performance 36:17 Innovative Use Cases for Chat with Work

    45 min
  7. #111 Bryan Wish on Ownable Messages, Personal Brand Systems, and Building Graviton.ai

    27 MAR

    #111 Bryan Wish on Ownable Messages, Personal Brand Systems, and Building Graviton.ai

    Bryan Wish unpacks the long game of personal branding, storytelling, and building systems that scale. Bryan shares how his early project Wish Dish began in college as a way to create a collective platform for vulnerable stories, community, and self expression, and how that “soulful” experiment taught him media, content, and community, even before he knew how to monetize it. From there, Bryan explains the spark behind Arcbound. After getting a front row seat running a major book launch for author Alan Gannett, Bryan saw how powerful personal brand can be, and also how much friction the process creates when it is stitched together with multiple vendors and scattered workflows. Arcbound was born to reduce that friction by helping leaders define who they are, clarify an ownable message, and build a brand system across channels like LinkedIn, newsletters, podcasts, and short form video. Bryan then dives into Graviton.ai, the next evolution inspired by years of service based learning. He walks through the shift toward enterprises like mortgage banking, insurance, and wealth management, where hundreds of sales professionals operate as individual brands inside a corporate umbrella. Bryan shares how dozens of discovery interviews revealed the core pain points: high cost, inconsistent quality, compliance constraints, and marketing teams stretched thin. Graviton aims to combine software and services to make personal brand growth accessible, consistent, and scalable, while also improving recruiting and retention. The conversation explores what “ownable message” really means, why great brands connect emotional tissue to functional output, and how AI can support content without making it feel generic or synthetic. Bryan and Federico compare writing and coding as “human in the middle” workflows, debate reliability and trust in nondeterministic systems, and look ahead at agentic tools that learn your voice. They close with a look at the future, including software enabling business of one growth, and the coming democratization of longevity and health systems through connected data and AI. About Bryan Wish: - https://www.linkedin.com/in/bryanwish/ - https://arcbound.com/ About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Brian Wish and His Journey 03:46 The Birth of ArcBound 06:31 Exploring Graviton.ai 11:12 Understanding Ownable Messages 13:57 The Importance of Personal Branding 21:23 Navigating AI in Content Creation 26:17 The Predictability of Life and AI 27:01 Trusting AI: A Personal Experience 28:24 The Future of Content Creation with AI 30:20 The Dual Nature of AI: Good vs. Evil 31:41 Job Displacement and Creation in the Age of AI 35:50 Core Skills for the Future 38:21 Synthetic vs. Authentic Content 40:21 The Future of Personal Branding and Health 44:09 The Evolution of Human-Computer Interaction

    45 min
  8. #110 Saranyaa Parthikumar: Building Products in the AI Era, With Trust, Speed, and Human Judgment

    24 MAR

    #110 Saranyaa Parthikumar: Building Products in the AI Era, With Trust, Speed, and Human Judgment

    Saranyaa Parthikumar shares her journey from Java developer to MBA, then Lead Business Analyst, and finally Product Manager. She explains how the switch happened through an internal move: raising her hand, talking to managers, taking on junior PM style projects, and building confidence by representing the customer and guiding delivery. Saranyaa describes the kind of products where she shines: B2C experiences and data heavy platforms where research, segmentation, and experimentation matter. She shares the biggest shift after becoming a PM: your calendar becomes everyone’s calendar. The role demands constant context switching and influence across design, engineering, research, marketing, and go to market partners, while keeping communication clear so the whole team moves in one direction. They explore why Saranyaa loves zero to one work most. She compares it to detective work: starting with an ambiguous problem, collecting evidence, prototyping, shaping a narrative, and then rallying the team to execute. She defines good product management as starting in the user’s shoes, understanding the real pain, and translating that into something technology can deliver. On AI, Saranyaa says it became central in the last eight months through GenAI tools that let her create working prototypes early. This makes it easier for teams to visualize ideas, ask sharper questions, and move faster with clearer documentation. She believes teams will become more fluid as AI lowers the barrier between roles, with people flexing into analytics, product, or execution based on the sprint. Saranyaa also pushes back on the fear that AI will replace humans. AI is strong at automation and summarizing existing knowledge, but humans remain essential for judgment, creativity, direction, and guardrails. For AI products, she emphasizes rigorous testing, human in the loop reviews, and safety and sensitivity guardrails. When launching AI features, her most important metric is trust, because once users feel uncertain about how data and memory are handled, adoption suffers. She closes with advice for aspiring PMs: do not hesitate. Strong communication, collaboration, and empathy still matter most. Use GenAI tools to build small side projects, learn by shipping, gather feedback, iterate, and use those wins to earn the role. Her final reminder is simple: you do not need an engineering degree to become a PM, you need customer understanding and the willingness to learn. About Saranyaa Parthikumar: - https://www.linkedin.com/in/saranyaap/ About Federico Ramallo ✨👨‍💻🌎 🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers - 💼 https://www.linkedin.com/in/framallo/ - 🌐 https://densitylabs.io - ✅ https://prevetted.ai 🎙 PreVetted Podcast 🎧📡 - 🎯 https://prevetted.ai/podcast - 🐦 https://x.com/PrevettedPod - 🔗 https://www.linkedin.com/company/prevetted-podcast 00:00 Introduction to Product Management and AI 01:39 Transitioning from Business Analyst to Product Manager 04:29 The Role of a Product Manager 08:11 Navigating the Zero to One Phase 10:29 The Impact of AI on Product Management 15:57 AI's Role in Job Evolution 19:26 Skills for Future Product Managers 23:03 Ensuring Trust in AI Products 26:09 Advice for Aspiring Product Managers

    30 min
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Federico Ramallo spotlights extraordinary people, their great stories and remarkable talent that's reshaping our world! Powered by Density Labs - https://densitylabs.io

Información

  • Creador
    Federico Ramallo
  • Años de actividad
    2023 - 2026
  • Episodios
    119
  • Clasificación
    Apto
  • Copyright
    © Federico Ramallo
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