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Taran Pal Singh

Second-year Computer Science student at the University of Southampton. I build AI agents, developer tools and products. Looking for summer 2027 SWE / AI internships.

Selected work

  • Parch: AI procurement agent for vendor research, recommendations and approval-based purchasing.
  • Atlas: deployment platform for Dockerized apps, with HTTPS, monitoring, logs and rollback.
  • ArmForge: LLM inference configuration recommendations and benchmarking for Arm CPUs.
  • Memento: operations agent with persistent memory in CockroachDB.
  • Swipeback: email-first expense agent for receipts, transaction matching and policy checks.
  • Apprentice: video-based coaching that breaks down expert demonstrations and gives feedback on attempts.

Open source

Merged contributions: biip #454, biip #455, pydynox #585.

Tools

Python, TypeScript, Java, SQL, React, Next.js, Docker, Linux

Portfolio / LinkedIn

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  1. Parch Parch Public

    AI procurement agent for vendor research, recommendations and approval-based purchasing.

    TypeScript 1

  2. atlas atlas Public

    Deployment platform for Dockerized apps, with HTTPS, monitoring, logs and rollback.

    Java

  3. armForge armForge Public

    Arm-aware inference configuration engine: predicts, benchmarks, and deploys optimal LLM configs per Arm CPU.

    Python

  4. memento memento Public

    Operations agent with persistent memory in CockroachDB.

    TypeScript

  5. swipeback swipeback Public

    Swipeback: email-first expense-operations agent (SotonShip 2026, FinTech). Synthetic demo only.

    TypeScript

  6. apprentice apprentice Public

    Show it once. It coaches everyone after. Video-to-procedure coach on Meta Muse Spark + SAM 3.1.

    JavaScript