curriculum vitae

∎ education

  1. Georgia Institute of Technology

    • MS Computer Science (dropped out)
    • Focus: Machine Learning, AI, and Distributed Systems

  2. Institute of Business Administration, Karachi

    • MBA
    • Focus: Finance and Strategy

  3. Institute of Business Administration, Karachi

    • BS Computer Science
    • Focus: Artificial Intelligence, Robotics

∎ patents, papers and awards

∎ experience

  1. durable.co

    • 2025 - Present
    • CPTO

  2. Self-Employed/Consultant

    • 2024 - 2025
    • AI PM/Engineer working with startups
    • Projects:
      • AI inference infrastructure for decentralized compute network
        • Golang, ASIC, FPGA, CUDA/C, Linux Kernel / Buildroot
      • Natural language to smart contract generation for escrow contracts on Base
        • Typescript, React, NextJS, TailwindCSS, Solidity, Large Models, Evals, AI-SDK
      • Health App (iOS, Android)
        • Typescript, React Native, Expo, Hono, SQLite, Zustand, Vital, Google Cloud Run, Postgres
      • Offchain computation of onchain data and push/pull oracles
        • Solidity, Typescript, ZK-Proofs, Firecracker, Rust, WASM
      • LLM-based wager platform on Base blockchain
        • Typescript, React, NextJS, TailwindCSS, Solidity, Large Models, Evals, AI-SDK
      • Practice-in-a-box for Longevity/Functional Medicine MD
        • Typescript, React, Remix V2, TailwindCSS, Large Models, Evals, RAG, Vector DB, Postgres, AI-SDK
      • F50 CPG Company project
        • Typescript, Hono, LLM, RAG, Vector DB, Postgres
      • Real-estate firm across US/Canada
        • Typescript, Remix V2, Pinecone, RAG, Postgres, Multi-modal, In-painting, Stable Diffusion

  3. burrata.xyz

    • 2021 - 2023
    • Cofounder/CEO
    • Developer-facing compliance/identity startup building portable customer identity solution for fintech and crypto companies
    • Core product/MVP: developer SDK and integration platform bridging web2 private data as attestations to web3 via selective disclosure and zero-knowledge proofs
    • Raised US$8MM and backed by Stripe, South Park, IDEO, et al
    • Top 20 DeFi protocols (by TVL) were early design partners
    • Returned >40% capital back to investors due to delay in US regulations and specialized cap table limiting hard pivots
    • Typescript, React, NextJS, TailwindCSS, Solidity, Rust, Postgres, Nginx, Docker, Kubernetes, AWS, ZK-Proofs, DID, VC

  4. Segment

    • 2019 - 2021
    • Product Lead
    • Led developer-facing enterprise products and later data residency product inline with EU regulatory updates (Schrems II)
    • Developed/operationalized strategy to maintain and manage SDK/Integrations across 15+ major languages/frameworks that run on billion+ devices
    • Managed product strategy with platform shifts (eg iOS14, WebKit ITP, SameSite Cookies)
    • Led launch of 4 (out of 7) new product releases by Segment in 2020
    • Invented new ways to build analytics infrastructure
    • Javascript/Typescript, Java, PHP, Python, Ruby, Go, Swift, Kotlin

  5. Streamlabs

    • 2018 - 2019
    • Director of Product
    • Led product/eng/data of core products
    • Grew current revenue by ~37% on US$120MM trans. volume
    • Developed internal analytics capability, team and tooling
    • Drove UI/UX optimizations to get ~20% conversion lift
    • Pivoted revenue model with founders and grew revenue 4x in 2 years
    • Helped eng optimize computer vision pipeline for real-time object detection
    • Helped eng develop novel encoder optimizations on game engine training data for video game streaming
    • Grew eng team in Vancouver from 4 to 20+ in 2 years
    • Led hiring across specialized roles in addition to core fullstack: GPGPU, C++, Video Encoding, DevOps
    • Javascript/Typescript, VueJS, PHP, Python, C++, Electron, Python, Postgres, Docker, Kubernetes, AWS, H.264/HEVC, OpenCV, FFmpeg

  6. ACL/Diligent

    • 2017 - 2018
    • Lead Big Data Engineer
    • Developed data pipelines and infrastructure to support RPA
    • Prototyped NLP-based platform for next-gen NLP product using Spark’s Tungsten engine
    • Researched compute architectures for small-data
    • Python, Spark, AWS, DSL, LSTM, Semantic Search, RNN, Word2Vec, Gensim, NLTK, Scikit-learn, Keras, TensorFlow

  7. Progressa

    • 2016 - 2017
    • Software Engineer
    • Built machine learning data pipelines and infrastructure for alternative lending
    • Golang, Scala, Java, Spark, Kafka, AWS

  8. Dawood Hercules Corp

    • 2013 - 2016
    • Senior Private Equity Analyst
    • Trained by McKinsey & Company for 2years to run one of the largest family offices in Middle East, Africa and Pakistan
    • Built financial models and conducted financial due diligence for private equity investments across Energy, Telecom and Technology sectors
    • Built NLP based pipelines and dashboards to analyse data for portfolio monitoring
    • Python, SQL, NLTK, Scikit-learn, Keras, TensorFlow, Excel

  9. Pakistan Petroleum Limited

    • 2011 - 2013
    • Strategy (and Geopolitical) Analyst
    • Built models based on petroleum economics and geopolitics to inform investment decisions across Middle East, Africa and Pakistan
    • Led DD for 22 transactions (~US$400MM, 4 success)
    • Built internal tools using genetic algorithms to optimize oil and gas portfolio as well as bids for new assets
    • Python, SQL, Excel, Scikit-learn

  10. Institute of Business Administration, Karachi

    • 2008 - 2011
    • Research Assistant
    • Worked on AI/Robotics
    • Built first autonomous robot soccer team in South East Asia
    • Led to World Championship (#11) in RoboCup 2011
    • Python, C++, C#, ROS, OpenCV, NumPy, SciPy, Matplotlib, Pandas, Scikit-learn

  11. Various

    • 2005 - 2011
    • I led Business Intelligence and ERP projects for P&G in the Middle East where I built their first regional data warehouse
    • I was trained by the team at Oracle and later Microsoft Arabia to be a technical ERP consultant and BI engineer. I have worked with F50 on their ERP and BI projects
    • I founded a startup in 2008 which was similar to Twilio but focused on the Middle East and Singapore; we failed due to strict telecom regulations in the regions

∎ licenses, non-credit courses and certifications