The Minhaaj's Podcast

minhaaj rehman

Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.

  1. 16/12/2025

    AI and Future of Automation with Aytekin Tank

    Aytekin is the founder and CEO of JotForm, one of the most widely used no-code automation platforms in the world, serving more than 35 million users across education, healthcare, nonprofits, and small businesses. He’s also the author of the Wall Street Journal and Publisher’s Weekly bestselling book Automate Your Busy Work, 00:00 – IntroductionFounder mindset, automation philosophy, and the future of work 00:01 – Why Automate Your Busy Work Was Ahead of Its TimeNo-code, automation thinking before the AI boom 01:09 – Building JotForm Before the AI Hype Cycle20 years of bootstrapping, slow growth, and real product-market fit 02:29 – Forms as the Gateway to AutomationHow education, nonprofits, healthcare, and SMBs really work 03:49 – From Forms to Workflows, Approvals, PDFs, and E-SignaturesDesigning automation for people without developers 04:21 – Solo Founder Reality: Doing HR, Legal, Support, and Product AloneThe hidden cognitive cost of running everything yourself 04:51 – Competing with Google Forms as a Bootstrapped FounderWhy automation and delegation became survival tools 05:58 – Email Automation as Cognitive ReliefHow prioritization systems reduce stress and decision fatigue 07:41 – Applying Automation Internally: Teams, CI/CD, and TestingWhy automation makes teams safer, not riskier 08:10 – Designing Products Around How People Actually WorkFrom tools to systems thinking 09:17 – Writing, Teaching, and Sharing Automation PrinciplesFrom Medium and Forbes to a bestselling book 10:48 – Discovering the AI Revolution After Publishing the BookAutomation philosophy vs AI productivity tools 11:16 – “People Aren’t Overworked — They’re Over-Busy”The psychology of modern work and burnout 12:28 – Embodying Automation Principles Inside the CompanyScaling without chaos 12:48 – Email Prioritization Systems That Actually WorkHow to design inboxes for executives and founders 14:20 – Gmail Filters, Labels, and Decision AutomationSimple systems over complex tools 16:59 – Automation as Stress Reduction, Not SpeedWhy missing important work causes burnout 19:21 – Continuous Deployment and First-Day Code CommitsHow automation builds trust and confidence at scale 21:12 – Why Automation Shouldn’t Be FearedRisk reduction through systems 22:08 – Internal Automation Lessons from JotForm’s Engineering Culture 23:01 – Future of Work: Policy, Strategy, and AIWEF, global work, and structural change 24:32 – Does AI Kill Jobs or Create Better Ones?A real company case study 25:02 – Deploying AI Support Without Laying Off EmployeesHow JotForm handled AI responsibly 27:09 – Human-in-the-Loop AI SystemsWhy oversight matters more than hype 28:19 – Training AI Through Documentation and FeedbackHow resolution rates improved from 25% to 75% 31:01 – Improving AI Through Better Knowledge SystemsDocumentation as infrastructure 32:36 – New Roles Created by AI AdoptionFrom support agents to AI evaluators 33:29 – Multilingual AI Support at Global ScaleWhy AI enables inclusion, not just efficiency 35:09 – Why JotForm Didn’t Get AcquiredIndependence, focus, and long-term thinking 39:29 – Focused Work, Fewer Hours, Higher LeverageRedefining productivity at scale 41:06 – Evolution of JotForm Into a Full Automation PlatformFrom forms to AI agents and integrations 42:09 – AI Agents Demo Discussion and Key TakeawaysReal use cases, real ROI 46:18 – User Research at Massive ScaleLearning from 35 million users 48:03 – Omnichannel AI Agents: Web, Instagram, Gmail, SalesforceTraining once, deploying everywhere 49:35 – The Future of AI Agents as Digital EmployeesOne system, many touchpoints 50:14 – Advice for Young Developers and FoundersHow to compete in the AI era 50:49 – Growth Mindset Through Every Tech RevolutionFrom PCs to the internet to AI 52:10 – Why This Is the Best Time to Be YoungOpportunities created by AI and no-code tools 53:38 – Closing Reflections on Building, Learning, and PurposeA long-term view of work and life

    1h 22m

  2. 12/07/2023

    Working at DeepMind with Aleksa Gordic

    Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium. # Timestamps 00:00 Intro 00:45 Dropping Out, Self Learning & Chris Olah 03:20 From Android Developer to ML Engineer 06:25 LeetCode and CodeForces, Coding vs Soft Skills 17:30 Input and Output Mode of Learning 21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling 25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World 29:29 Inspirational Teachers 31:50 Microsoft HoloLens Summer Camp & Apple Vision 39:26 Microsoft Research, Google Ai, OpenAI & ResNet 41:50 Culture at Microsoft vs Google, Teams & Research Areas 50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML 01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition 01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’ 01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware 01:16:18 LLM benchmark Saturation & Research Directions 01:20:37 Disinformation, Adobe Firefly and Social Fabric 01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit 01:28:30 Politicization of AI, Supercomputing & Technological Real Politik 01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions 01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US 01:47:00 Life outside Work, Sports & Calisthenics

    1h 50m

  3. 29/06/2023

    Julia and Data Science with Bogumil Kaminski

    Season 2 episode 2 of The Minhaaj Podcast this week brings on the child prodigy and genius co-creator of dataframes.jl package for Julia, Dr Bogumił Kamiński. Bogumil learned C language without owning a computer from library books at the age of 16 in a small Polish town. In post-communist Poland he went on to study applied problems in management and economics and his interest lies in computational models for real-life problems.He currently serves as the full professor of economics at the Warsaw School of Economics. He also holds the following positions:- Head of Decision Analysis and Support Unit- Chairman of the Scientific Council for the Discipline of Economics and Finance- Member of the Presidium, Statistics and Econometrics Committee, Polish Academy of Sciences- Adjunct Professor, Toronto Metropolitan University- Data Science Laboratory Researcher, Fields Institute, Computational Methods in Industrial Mathematics Laboratory- Affiliated Faculty, Toronto Metropolitan University, Cybersecurity Research LabPresident, INFORMS Polish Section- Co-editor, Central European Journal of Economic Modelling and Econometrics- Editorial board member, Multiple Criteria Decision Making journalIndependent Supervisory Board Member, AutoPartner S.A.Bogumił Kamiński is an expert in the application of mathematical modeling to solve practical problems in business. In the past, he gathered experience as head of business intelligence and data analytics units in one of the largest Polish consulting and IT solution implementation companies.His field of expertise is the creation of complex decision-support models that use machine learning, optimization, and simulation methods. He is one of the world-leading experts in the Julia language and has numerous contributions to the core of the language and the package ecosystem. He created the famous dataframes.jl package for data science.He also created SilverDecisions software, which is freely available online for modeling decision trees. He has written five books one of which I have reviewed earlier, Julia for Data Science.# Timestamps00:00 Intro01:08 Learning Programming, Communist Poland & First Computer07:07 Polish Education System & STEM teaching11:35 Julia’s Conceptualization & Expectations28:05 PetaFLOP club language, Data Type-based Operations & Julia’s Performance38:11 Project Celeste, 800M astronomical objects detection, HPC in Julia59:50 Julia in Academia vs Industry - Speed & Ease of Learning01:21:21 Customer-facing Apps, Streamline vs Genie01:38:56 Julia and LLMs, Falcon 40B, Training & Inferencing in Julia01:45:05 Relearning Julia, How to get Started01:51:09 From in-memory to cluster processing and MIT partnership01:59:09 Family, Productivity, Community & Work - Juggling different Balls

    2h 8m

  4. 20/06/2023

    AI powered self serving BI with Ryan Janssen & Paul Blankely - Zenlytic

    Ryan is an entrepreneur, data scientist, engineer, and former VC. He is the co-founder and CEO of Zenlytic, a SaaS business that makes a next-generation AI-powered BI tool that uses LLMs and Semantic layers. He previously co-founded Ex Quanta AI Studio, a full-service data consultancy. Ryan started his career as a software developer in his native Canada, before moving to the UK. He then worked with London’s AGC Equity Partners venture capitalist and private equity investor, investing in technology businesses with check sizes of $1-$50m. He has also worked as a consultant with McKinsey & Co. and Ernst & Young. He has master's degrees from Harvard University and Oxford University and a bachelor’s degree from the University of Alberta. Paul is the Co-founder / CTO of Zenlytic, a self-serve BI tool that uses LLMs to provide a simple chat interface to complex business data. He's worked in data for 7+ years and is passionate about all things data and AI. He has a master's from Harvard in Data Science, and while there, he worked with the Minor Planet Center on algorithms to detect if previously untraceable asteroids were going to hit the Earth. Before Harvard, he worked for Roche developing algorithms that run hand-held blood glucose meters. He lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing. Zenlytic has raised seed round funding from Sequoia Capital and Bain Capital Ventures among others for over $6M. It is revolutionizing how AI is changing the business analytics and visualization powered by plain self-serving chats with its AI assistant Zoe. transcript 00:00 Intro 02:15 Zenlytic, Dashboards and Self-serve Tools 04:42 PowerBI, Tableau & Why Another Tool 06:29 Semantic Layer on LLMs and Self-Serve Analytics 13:00 Replacing BI Analysts, Yann Lecaun & LLM Hallucination 15:19 Zoe, Zenlytic AI Assistant & Use Cases 23:24 Chat-based KPI Dashboard Making 26:312 Meeting at Harvard & Friendship outside Harvard 30:00 Role of Ivy League Network in securing VC Funding 34:50 Ingredients for landing VC Funding 37:32 Webapps vs Mobile Apps & Slack Integration 43:20 Cloud vs On-Prem, Security vs Flexibility 47:03 Snowflake vs Databricks 51:12 Cost per Acquisition & Burn Rate for Start Ups 57:01 No-code vs Code, Bubble for Web Design 01:01:31 AI doomerism and Future of Work 01:08:22 Grad School Project on Telescopes Monitoring Asteroid 01:11:00 Horse betting and Gambling Algorithms 01:19:30 AI race between US & China and its Impacts 01:34:50 EU AI Act, Regulation vs Innovation, Prevention vs Experiment 01:39:10 Generative AI and Societal Challenges 01:45:14 Start-Up Hiring and Quality of University Grads and Education 01:57:00 Future of Zenlytic & Upcoming Features Guest links: Ryan Janssen: https://www.linkedin.com/in/janssenryan/ Paul Blankley: https://www.linkedin.com/in/paulblank... Zenlytic: https://www.zenlytic.com/

    1h 59m

  5. 14/03/2022

    Prosthetic Hands with Aadeel Akhtar

    Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek. 00:00 Intro 01:42 Multiarticulation of Prosthetic Hand, Finger Movements  03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics 04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility  06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World  08:45 3D Printing of Hand and Distribution of locally vs imported Parts 11:00 Fixing Repair Problems for Imported Components from China, COVID 19   12:31 USB port, Bluetooth and Spiderman Web  16:56 Android/iOS App, AI&ML & Sensitivity Controller  18:50 From Research to Market, Tactile Feedback 24:15 Invasive Technology, Electrode Scarring & Partnerships 27:11 Cortical Implants & Future of BCIs for Humanity  31:39 Neuroscience Labs as Co-working Spaces 33:20 Guitar, Linkin Park & Mohawk 38:34 OpenAI and Rubic Cube vs Prosthetic Hand  49:16 Work in Ecuador & Inception of the Idea  52:39 3D Printing vs Manual Construction of Prosthetics - Robustness  01:04:31 Multimodel Neuroplasticity & Forced Interchangeability  01:10:06 Neuroscience of Parenting,  Catch 22 01:14:00 Importance of Recognition & Thanking the Crew as a Leader  01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand 01:20:29 Going Global and Exploring New Markets  01:23:31 Infection Mitigation Design  01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan  01:36:33 Shoe Dog by Phil Knight and Power of Grit 01:40:40 Impact, Legacy & Fulfillment Guest Social Media  Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/ Follow us:  Full Episodes Playlist link: https://bit.ly/3p2oWJA Clips Playlist link: https://bit.ly/3p0Qmzs Apple Podcasts: https://apple.co/3v0YZxV Google: https://bit.ly/3s5vDwc Spotify:  https://spoti.fi/3H6jqf0 Who is Minhaaj?  Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.   CONNECT WITH Minhaaj ✩ Website - https://bit.ly/3LMvwgT ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G ✩ Twitter - https://bit.ly/3v3t1RJ ✩ Facebook - https://bit.ly/3sV0XgE ✩ ResearchGate - https://bit.ly/3I6BvLu ✩ Linkedin - https://bit.ly/3v3FswQ ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO

    1h 46m

  6. 07/03/2022

    Data Warehouse with Bill Inmon

    William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.    00:00 Intro  01:17 From failed Golf Career to a Computing one   03:06 Originality, Patterns & Database Design  04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s  11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors   14:26 Winning over Marketing & Sales People vs IT Departments  18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company   20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL  30:20 Corporate Information Factory, DataMarts & ETL  32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse  36:15 Data Reliability with Data Marts vs Centralised Data Warehouse   39:00 Staging Area in Kimball System vs Vetting the Data    41:00 Metadata, Beethoven & Importance of Metadata,  45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College  48:51 Writing Course at Stanford, Fiction & Technical Communication   51:16 Fiction Published Work & Posthumous Publishing  57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation  01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing  01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19   01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity  01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception  01:29:45 Venture Capitalists are not Smart People, they are Rich People.   01:35:31 Cloud Computing vs Local DWHs  01:38:06 Databricks vs Snowflake  01:42:03 Not a Book Reader, Carving your Own Path  01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions  01:50:00 From California to Colorado, Nature in the Rockies & Life   Follow us:    Full Episodes Playlist link: https://bit.ly/3p2oWJA  Clips Playlist link: https://bit.ly/3p0Qmzs  Apple Podcasts: https://apple.co/3v0YZxV  Google: https://bit.ly/3s5vDwc  Spotify:  https://spoti.fi/3H6jqf0    Who is Minhaaj?   Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.   CONNECT WITH Minhaaj   ✩ Website - https://bit.ly/3LMvwgT  ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G  ✩ Twitter - https://bit.ly/3v3t1RJ  ✩ Facebook - https://bit.ly/3sV0XgE  ✩ ResearchGate - https://bit.ly/3I6BvLu  ✩ Linkedin - https://bit.ly/3v3FswQ  ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO

    1h 52m

  7. 19/11/2021

    Building Data Teams & Culture - Lisa Cohen

    Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI. 00:00 Intro 02:52 Harvard, Microsoft, and Twitter. From SE to Data Science 03:40  Work Culture at Microsoft, Bigger Picture & Customer First Paradigm 16:40  Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan 19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink 23:13 Working Styles, Introversion vs Extraversion,  26:43 5-day Week, Focus and Scandinavian Productivity 28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking 34:28 Twitter vs Everything else, Metaverse, Space Tourism,  36:50 Non-computing Backgrounds & Transition into Data Science 42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage 46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella 51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders  55:00 Roadblocks in Optimising Data Utilization for Creating Business Value 01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft  01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI 01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster 01:17:06 Lessons for Leadership being a Parent. 01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon 01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents  01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model   01:27:19 Mentors and Best Advice  01:30:05 Jack Dorsey, Life, Legacy & Impact on Others  yse083q3AKJv8eUnKDPK

    1h 35m

  8. 23/10/2021

    Data Science Careers with Dhaval Patel - Codebasics Youtube

    Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide.  00:00 Intro 01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life 03:40 Mental Health, Steroids & Immune System  11:00 Planning Videos, Pedagogy & Smart People Problem 17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg 21:13  Career Tracks on Data Related Spectrum, Pathways for different Careers 25:16  Data Structure and Algorithms, Politics vs Equations, Eternity  28:20  ML vs Deterministic Programming, Time & Space complexity of the ML Models 30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases  30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability 42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie  46:50 Death by PowerPoint, Simplicity & Walk vs Talk 49:51 Negotiating Salary,  Action vs Motivation, Cellphone is a Distraction  57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food   01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering 01:04:04 Deep learning, C++ Back-propagation Algorithms,  Nvidia Titan RTX GPUs, Amazon Stores Experience 01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection  01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,   01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models 01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages 01:27:01 ETL pipelines & Distributed Computing Structures  01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0 01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv  01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab 01:41:30 Google Pixel,  Google Tensor Chips & Chip Shortages 01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset 01:49:00 Struggles, Battles, Hopelessness & Dysphonia

    1h 53m
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About

Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.

Information

  • Creator
    minhaaj rehman
  • Years Active
    2021 - 2025
  • Episodes
    38
  • Rating
    Clean
  • Copyright
    © 404350
  • Show Website
    The Minhaaj's Podcast