Techie Talks with Kuldeep

Techie Talks with Kuldeep
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🌟Whether you're a student exploring tech, a professional leveling up your career, or a startup founder navigating innovation, this is your space to grow. 🔥What you’ll discover here: - Learn from the best - Stay ahead in tech - Fuel your ambitions - Honest discussions about challenges, failures, mindset, growth, and learning in the tech world - Practical advice for students, job seekers, tech enthusiasts, and startup builders - Inspiring career journeys of successful tech professionals - Deep dives into cutting-edge topics Artificial Intelligence, Cloud Computing, Cybersecurity, Blockchain

  1. 1d ago

    Your AI Agents Are Running Wild. Who’s Actually Controlling Them? | Jim Bugwadia, Co-Founder & CEO

    In this episode of Techie Talks with Kuldeep, host Kuldeep Singh sits down with Jim Bugwadia, Co-founder & CEO of Nirmata, Inc to explore AI governance, policy as code, and how Kyverno is evolving from Kubernetes policy enforcement to full-stack AI controls.Timestamps:0:00 – Teaser highlights1:19 – Meet the Guest1:39 – Jim's background: From Mumbai to Silicon Valley & telecom to cloud native2:49 – Staying hands-on as a founder3:19 – Why decoupling policy from applications matters in the age of AI4:03 – The OODA Loop: How decision-making frameworks apply to Kubernetes governance5:20 – Policy as code, Kyverno, and the enforcement + decision-making two-layer model6:38 – Why Nirmata, Inc chose Kubernetes CRDs (not DSLs) for Kyverno9:13 – CEL (Common Expressions Language) adoption in Kyverno for better performance12:44 – How Kyverno handles webhook latency, high throughput & large policy sets17:02 – Open source strength: Community, KubeCon & policy best practices17:44 – Nirmata's AI Controls: Governing LLM API calls, MCP requests & agent-to-agent calls18:31 – Risks in enterprise AI: Privacy, data leakage, token costs & productivity20:22 – Governance for AI engineering (LLMs as the new database layer)21:11 – Zero trust for AI agents: Covering all layers with Kyverno22:22 – AI governance latency: Why it's microseconds, not seconds24:04 – AI Controls as middleware: Caching, routing & lowering token costs26:27 – Balancing security guardrails without blocking developer productivity28:11 – Self-service exception management for developers30:25 – Security culture: Collaboration between dev and security teams31:00 – Rapid Fire Round31:32 – Language pick for next 5 years: Go/Golang32:44 – Top Kyverno configuration mistakes in production34:07 – Emerging CNCF projects to watch: Agent Substrate36:19 – Closing thoughts & where to try Kyverno and AI ControlsCONNECT WITH US 🌐YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepFollow Jim Bugwadia on LinkedIn:https://www.linkedin.com/in/jimbugwadia/🔗 Learn more about Nirmata: https://nirmata.com🔗 Try Kyverno: https://kyverno.io#ai #technology #futureofwork #techpodcast #kubernetes #devops #llms #machinelearning #techietalkswithkuldeepkubernetes, kyverno, policyascode, aigovernance, devops, cloudnative, aicontrols, techietalkswithkuldeep, platformengineering, devsecops , llm , aiagents , mlops, kubernetessecurity, openSource , golangprogramming , infrastructureascode

  2. Jul 11

    UPSC Aspirant to DevOps Engineer | Akshay Kumar's Tip for Landing a Job in Industry

    From UPSC to DevOps: Akshay’s Cloud-Native Journey, Kubernetes Roadmap & Using AI the Right Way. In this episode of Techie Talks with Kuldeep, Akshay Kumar shares how he transitioned from five UPSC IAS attempts and a mechanical engineering background into tech, eventually becoming a project manager at Cognite.ai after roles including NIC and open-source evangelism at Obmondo. He explains how COVID and a final UPSC attempt led to a career switch, supported by Vipassana meditation, self-learning, an unpaid Linux-focused internship, and hands-on DevOps skills that helped him clear the NIC interview. Akshay highlights that certifications aren’t enough, emphasizing community learning through Twitter/LinkedIn, events, mentoring, and building the Growin community. He outlines core pillars for DevOps/platform engineering—Linux/networking, Git/GitHub, Docker, Kubernetes, IaC (Terraform), and cloud platforms—and advises beginners to learn Kubernetes through basics and projects. He also shares how to use LLMs for troubleshooting via step-by-step prompting without copy-pasting, and discusses AI-related entry-level job anxiety, stressing continuous learning and adaptability.00:00 Highlights01:08 Meet the Host and Guest02:43 The Switch Decision04:26 Choosing Cloud and DevOps06:00 Breaking into NIC08:49 Beyond Certifications12:31 Community and Open Source16:17 DevOps Roadmap Basics18:52 Learning Kubernetes Right21:24 Using AI to Learn24:53 AI Troubleshooting Workflow27:19 AI Anxiety and Staying Hireable30:26 Advice for Non Tech Learners32:06 Closing-------------------------------------------------------------------------CONNECT WITH US 🌐YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepFollow Akshay on LinkedIn: https://www.linkedin.com/in/akshayktwt/#devops #kubernetes #cloudnative #techietalkswithkuldeep #techpodcast #technology #futureofwork #ai #careergrowth #professionaldevelopment

  3. Jul 4

    The Unstoppable Mindset That Scales Entire Organizations | ft. Sanjay Singh

    In this masterclass episode of Techie Talks with Kuldeep, host Kuldeep Singh sits down with industry veteran Sanjay Singh (Fractional CTO and Angel Investor). Sanjay shares raw, un-sugarcoated insights from his decades-long journey building and scaling tech—from the pre-TCP/IP days of telecom to handling catastrophic scale as a multi-time CTO at Paytm, managing 600+ engineers at Tiket.com, and founding an acquired healthcare analytics startup.Sanjay breaks down why most modern software engineers fail at core engineering fundamentals, the truth about organizational design vs. throwing processes at low talent density, and the exact playbook he uses to evaluate startups as an angel investor looking at hundreds of deals a month.Whether you are a software engineer, a tech leader navigating cross-border teams, or an aspiring founder, this episode provides a realistic blueprint for balancing technical elegance with business viability.⏱️ CHAPTERS (TIMESTAMPS)00:00 - Key Highlights01:39 - Introduction: Meet Sanjay Singh (Fractional CTO & Angel Investor)05:42 - From Iit Roorkee to Builder: The Pre-TCP/IP Telecom Days10:13 - The Roots of Scalability: Moving from Telecom to Paytm & Tiket10:54 - Scaling Paytm's Backend to 60,000 TPS & Navigating Black Swan Events10:14 - Managing Production SRE Teams vs. Business Velocity: The Ultimate Trade-off16:06 - The Engineering Innovation Behind Paytm’s Lightning-Fast Scan & Pay18:07 - Organizational Scale: Managing 600+ Engineers at Tiket Across 3 Countries22:05 - Matrix vs. Centralized Teams: Structuring Engineering Horizontals & Verticals24:08 - Dousing Fires vs. Fixing the Wiring: A Playbook for Tech Leadership Architecture28:25 - Founding a Healthcare Analytics Startup: The Hard Lesson of Business Viability 34:09 - The Impact of GenAI on Engineering Productivity vs. True System Design38:51- An Angel Investor's Judgment: Why AI Companies Have Zero Moat Without Distribution45:28 - The Key Trait of Successful Entrepreneurs: Long-Term Mission vs. Extreme Flexibility48:06 - Filtering Through 600+ Deals a Month: Why Being a Good Engineer Solves Any Problem50:55 - Outro & Closing Remarks: Techie Talks with Kuldeep📌 Subscribe to Techie Talks with Kuldeep for more raw engineering and leadership deep dives!------------------------------------------------------------------------CONNECT WITH US 🌐Connect with Techie Talks with Kuldeep:YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepFollow Sanjay Singh on LinkedIn:https://www.linkedin.com/in/sanjaysinghiitr/

  4. Jul 3

    The Developer Glamour vs Reality: What 17 Years in Dev Taught Me | GitHub Star & GDE | Santosh Yadav

    Frontend architecture is evolving fast. Angular GDE & GitHub Star Santosh Yadav breaks down the hard truths on monorepos, state management, and staying irreplaceable in the GenAI era.In this episode, we dive deep into the systems-level engineering skills every senior software engineer and tech architect needs to master. Santosh pulls back the curtain on enterprise-scale development, helping you navigate the pitfalls of massive monorepos and bloated state management.💡 What You’ll Learn:• Monorepo Strategy: Stop letting config cripple your team. Diagnose architectural rot using nx graph and resolve circular dependencies.• State Management: Know when to use global state (NgRx) vs. local—and why angular signals are a game-changer.• Enterprise Engineering: Learn why Angular's backward compatibility beats the upgrade cycle of other frameworks.• The AI Reality: Learn to build beyond LLM boilerplate—secure your career by mastering algorithmic and systems foundations.Listen to master the modern frontend architecture landscape and stay relevant as AI changes the industry.-------------------------------------------------------------------------⏱️ TIMESTAMPS (Total Length - 32:30)0:00 - precaps1:10 - Introduction1:36- The Monorepo Hypocrisy: Why Your Nx Setup is a Mess3:36 - State Management Bloat: Fixing Over-Engineered Apps with NgRx & Signals6:41 - The Grim Reality of Open Source: Burnout, Fame, and "Tech Badges"10:19 - Framework Wars: Is Angular Dead or Catching Up to React & Next.js?14:46 - Beyond Tutorial Noise: How to Record a 1.5 Million-View Tech Course17:36 - Frontend Survival in the GenAI Era: Remaining an Irreplaceable Engineer23:28 - Hard-Hitting Rapid Fire: Nx vs Turborepo, Overrated Trends & Soft Skills28:05 - Career Trajectory: Navigating Rejections, Title Chasing & Management Flips31:04 - Outro & Final Engineering Takeaways-------------------------------------------------------------------------CONNECT WITH US 🌐Connect with Techie Talks with Kuldeep:YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepFollow Santosh Yadav on LinkedIn: https://www.linkedin.com/in/santoshyadavdev/

  5. Jun 20

    The Golden Pipeline Isn't What You Think in DevOps | CI/CD Reality Check

    Transitioning from SysAdmin to DevOps? ☁️ Master CI/CD pipelines, DevSecOps, and the mindset shifts required to excel in modern cloud engineering.In this episode of Techie Talks with Kuldeep , we sits down with DevSecOps veteran Sajal Jain to dissect the architectural realities of modern cloud infrastructure. Moving from a traditional Linux Systems Administrator mindset to managing large-scale, ephemeral cloud setups requires a radical shift from treating servers as "pets" to treating them as disposable "cattle."Moving from traditional Linux SysAdmin roles to managing large-scale, ephemeral setups requires shifting from treating servers as "pets" to disposable "cattle." If you are building a Kubernetes tutorial learning path or scaling microservices, this engineering masterclass is for you.What we cover:🚀 The "Golden Pipeline" Blueprint: How to end microservice pipeline sprawl and enforce engineering standardization across distributed dev teams.🛑 Why GitOps Fails in Production: Exposing the flaws behind GitOps architecture, including database schema migration blockers in ArgoCD and late-night hotfix rollback loops.🔒 Real-World DevSecOps Engineering: Enforcing a concrete two-part security lock using Trivy vulnerability scanning and Kyverno admission controllers inside Kubernetes (K8s) clusters to secure code from the local machine right up to live production.⏱️Timestamps00:00 – Highlights 00:54 – Introduction02:15 – Moving from Traditional SysAdmin to Modern Cloud Architectures04:30 – The Mindset Shift: Treating Infrastructure as Ephemeral (Pets vs. Cattle)07:45 – What is CI/CD Really? Process Thinking Over Tool Adoption10:50 – Solving Microservice Pipeline Sprawl: The "Golden Pipeline" Blueprint14:05 – Enforcing a Clean Separation of Concerns Between Dev & DevOps16:20 – Why GitOps Fails at Scale: Conference Theory vs. Production Reality19:35 – ArgoCD Database Schema Migration Pain Points & Workarounds22:20 – The Late-Night Hotfix Trap: When Automated Git Sync Rolls Back Your Emergency Fix25:15 – DevSecOps Enforcement: Moving Beyond Passive Security Checkboxes27:40 – Catching Hard-Coded Secrets: Pre-Commit Hooks vs. Ruining Git History30:15 – The Two-Part Security Lock: Trivy Image Scanning + Kyverno Admission Controllers33:10 – Designing Safe Automated Rollbacks with Canary Deployment Metrics35:35 – DORA Metrics: Why Change Failure Rate is the Hardest ROI Metric to Fake37:10 – Quick Fire: Is Jenkins Technical Debt or a Battle-Hardened Workhorse?38:05 – The #1 Open-Source Tool Every Engineer Must Learn Right Now38:40 – Closing Advice: Why a "Boring" Production Environment is Your Ultimate Goal👥 Featured SpeakerSajal Jain (Guest):Sajal Jain is a seasoned DevSecOps and Cloud Infrastructure specialist with over a decade of hands-on industry experience. Starting his career as a traditional Linux System Administrator, Sajal successfully transitioned into the DevOps space, sharpening his architectural expertise across high-scale fintech, e-commerce, and early-stage startups🌐 Connections & ResourcesConnect with Techie Talks with Kuldeep:YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepFollow Sajal Jain on LinkedIn: https://www.linkedin.com/in/sajal-jain/#devops #CICD #GitOps #kubernetes #devsecops #SRE #argocd #cloudarchitecture #techpodcast #techietalkswithkuldeep #softwareengineering

  6. Jun 13

    Agentic AI Assistant for SMEs That Runs Your Day | CEO & Co-Founder Abrar Siddiqui | SarahAI

    Building a true autonomous AI agent without falling into the basic "LLM wrapper" trap?In this episode of Techie Talks with Kuldeep, Abrar Siddiqui (CEO & Co-Founder of SarahAI) breaks down the engineering blueprint behind building a AI Chief of Staff for small and medium enterprises (SMEs).With 20+ years of tech experience—ranging from early mobile payment startups acquired by Google to deep learning engineering at IBM Watson—Abrar shares raw production insights on handling non-deterministic systems, crushing voice pipeline latency on WhatsApp, and managing infrastructure token costs.Whether you are an AI engineer, a product manager, or a startup founder, this conversation cuts through the AI hype to clarify exactly where technical orchestration ends and true operational value begins for resource-constrained teams.⏱️Timestamps00:00 – Intro: The Forgotten SME Market & Guest Welcome02:10 – Abrar’s Journey: Engineering at York University & IBM04:35 – NFC Tap-to-Pay Era: Tech Acquisition by Google for Android Pay06:50 – Leaving "First Retirement" Due to Boredom08:40 – The Legacy AI Shift: Deep Learning & Fraud Models at IBM Watson11:15 – Setting up CallSign’s Cybersecurity Infrastructure in the UAE13:30 – Building Data Advisory Architecture for the UAE Ministry of Finance15:45 – The SME Opportunity: Why Big Tech Overlooks Small Businesses17:50 – Actionable vs. Informational AI: Moving Past Basic Q&A19:55 – The SarahAI Vision: Creating an Affordable WhatsApp Chief of Staff22:15 – Tech Deep Dive: Why Agent Orchestration is NOT an "AI Wrapper"24:30 – Production Workflows: Prompt Engineering Underneath System States26:10 – The Date-Time Paradox: Why 180B Models Fail at Basic Timezones28:00 – Wrapping Probabilistic Intelligence in Deterministic Product Boundaries30:15 – Risk Classification: Low-Risk Reminders vs. High-Risk CRM Writes32:40 – Solving the Multi-Step Voice Pipeline Latency (STT ➡️ LLM ➡️ TTS)34:55 – Millisecond Optimization: Training Models on 6 Million Localized Names37:20 – The 2026 AI IPO Shift: Managing Spiking Token Economics39:40 – Production Observability: Using Langfuse & LLM-as-a-Judge Workflows41:15 – Security & Permissions: Google, Microsoft, and CASA Certifications43:00 – Cutting the Noise: Why "AI Killed Your Startup" YouTube Content is Garbage44:30 – Final Thoughts: Freeing Human Brain Space for Innovation👥 Featured SpeakerAbrar Siddiqui (Guest):CEO & Co-Founder of SarahAI, an autonomous voice-first AI assistant for business operations. His background includes engineering exits to Google, enterprise ML development at IBM Watson, and advising Middle Eastern financial ministries on data architecture.🌐 Connections & ResourcesConnect with Techie Talks with Kuldeep:YouTube Channel:  @techietalkswithkuldeep  WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepLearn more about Abrar and SarahAISarahAI: https://thesarahai.com/Follow Abrar Siddiqui on LinkedIn: https://www.linkedin.com/in/abrars/#agenticai #softwarearchitecture #machinelearning #productmanagement #generativeai agentic ai assistant, ai assistant for smes, small business ai tools, ai chief of staff, automated business assistant, ai virtual assistant for founders, startup automation 2026, automation for businesses, ai executive assistant, affordable smes ai tools, productivity tools for entrepreneurs, agentic ai architecture, ai orchestration layer, building ai agents vs wrappers, non-deterministic system engineering, model context protocol, mcp server integration, langfuse observability, llm as a judge workflow, context state management, llm agnostic platform, token cost optimization

  7. Jun 6

    Why Enterprise AI Still Breaks at Scale. Here's Why? | CEO, Farshid Sabet | Corvic.ai

    Why Enterprises Struggle to Operationalize AI: Last-Mile Failures, Data Quality, RAG Brittleness & ROI RealityIn this episode of “Techie Talks with Kuldeep,” host Kuldeep Singh speaks with Farshid Sabet, CEO and co-founder of Corvic AI, about why enterprises still struggle to operationalize AI despite major investment and excitement. Farshid shares his journey from hardware and edge AI to software and AI, then explains the “last mile” problem: prototypes impress, but production breaks in mission-critical settings where errors and hallucinations are unacceptable. They discuss brittle RAG and data pipelines at scale, rising costs, the need for data cleaning and consistent reporting, and how incomplete or fragmented data leads to hallucinations and “garbage in, garbage out.” The conversation highlights governance, security, privacy, orchestration across tools and modalities, and why AI ROI lags while the industry remains in a learning and build phase.Time Stamps:0:00 - Precaps1:30 - Introduction & Guest Welcome1:54 - Farshid's Journey: SanDisk to Corvic AI3:23 - The 3 Waves of AI (Audio → Vision → LLMs)4:28 - Why Enterprises Still Struggle to Operationalize AI6:45 - Mission-Critical AI: The Bar Is Very High8:13 - The Last Mile Problem & AI Hallucinations9:21 - Vibe Coding & Brittle Data Pipelines at Scale11:35 - Smarter Models Won't Fix Bad Data14:51 - From Dashboards to Live AI Analytics18:14 - Security, Privacy & AI Governance21:12 - Why AI ROI Is Still Lagging24:22 - The AI Hype Trap & the "Push a Button" Myth27:53 - The Hidden Cost Problem Nobody Talks About29:02 - Underrated Tech: Orchestration, Graph & Multi-Modal Data35:48 - Enterprise AI ≠ Consumer AI36:29 - Final Thoughts & Wrap-UpConnect with Techie Talks with Kuldeep:YouTube Channel: @techietalkswithkuldeep WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepLearn more about Farshid Sabet and Corvic.ai Linkedin : https://www.linkedin.com/in/farshid-sabet-298526/Corvic.ai : https://www.linkedin.com/company/corvic-ai/

  8. May 30

    AI Voice in India: The Gap No One Is Talking About | Founder Alok Anibha | Girikon.AI

    AI Voice Agents in India: Girikon.ai’s Vernacular Voice Tech, CRM Automation & Future of Customer SupportIn this episode of “Techie Talks with Kuldeep,” host Kuldeep Singh interviews Alok, DC alumni and founder of Girikon.ai, about AI voice agents integrated with telephony (CTI) and CRMs like Salesforce/HubSpot to reduce IVR wait times, automate workflows, summarize calls, guide human agents with prompts, and transfer calls with full context. Alok explains Girikon’s shift from telephony to enterprise AI voice solutions, highlights support and sales use cases, and describes adoption in real estate, healthcare, and BFSI (e.g., EMI/payment reminders). He emphasizes that success depends on solving real business processes and having data in place, not just adopting tools. Girikon is building “homegrown” Indian-language voices (10+ languages) to address gaps in vernacular speech and improve accessibility, including rural use cases.Time Stamps:00:00 Precaps01:00 Show Intro and Guest01:18 Alok’s Founder Journey01:56 Giricon.ai and CTI Roots04:59 Enterprise Call Pain Points07:26 AI Agent in Action08:54 Seamless Human Handoff10:59 Indian Language Challenge13:26 Voice vs Chatbots17:45 Voice First Future22:10 Industry Use Cases24:26 ROI and Fast Deployment27:43 Three Week Deployments28:11 Why AI Projects Fail30:27 Scaling With Customer Data31:27 Real Time Agent Coaching33:00 Next Five Years Outlook35:25 Cost Of Voice Tech38:46 Homegrown Indian Voices40:37 Rapid Fire Takeaways42:53 Hiring And Retention46:48 Discovery To Adoption49:42 Global Delivery Model51:10 Closing ThoughtsConnect with Techie Talks with Kuldeep:YouTube Channel:  @techietalkswithkuldeep  WhatsApp Channel: https://www.whatsapp.com/channel/0029Vb7Q4JHAjPXUt8hBgm2TLinkedIn: https://www.linkedin.com/company/techietalkswithkuldeepFacebook: https://www.facebook.com/profile.php?id=61574642927780Instagram: https://www.instagram.com/techietalkswithkuldeepLearn more about Alok and GirikonLinkedin : https://www.linkedin.com/in/alokanibha/Girikon: https://www.linkedin.com/company/girikon/#aivoice #voiceai #aiagents #conversationalai #contactcenterai #callcenterautomation #crm #salesforce #workflowautomation #indianlanguages

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🌟Whether you're a student exploring tech, a professional leveling up your career, or a startup founder navigating innovation, this is your space to grow. 🔥What you’ll discover here: - Learn from the best - Stay ahead in tech - Fuel your ambitions - Honest discussions about challenges, failures, mindset, growth, and learning in the tech world - Practical advice for students, job seekers, tech enthusiasts, and startup builders - Inspiring career journeys of successful tech professionals - Deep dives into cutting-edge topics Artificial Intelligence, Cloud Computing, Cybersecurity, Blockchain

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  • Creator
    Techie Talks with Kuldeep
  • Years Active
    2025 - 2026
  • Episodes
    34
  • Rating
    Clean
  • Copyright
    © Techie Talks with Kuldeep
  • Show Website
    Techie Talks with Kuldeep