itesh

About

Most of me fits on a laptop lid.

ML engineer and full-stack developer. Every sticker on this lid is true, and each one has a story.

point at a sticker (or tap one) for the story

How I work

A few house rules.

  1. 01

    Evals before claims.

    Arcee ships against 44 whole-task evals; at Caudal AI Labs the job was evaluating LLM systems.

  2. 02

    Write the decision down.

    Arcee's design choices live in numbered decision records, each with what was tried and why.

  3. 03

    Small commits, often.

    377 commits in Arcee's first 18 days, every one small enough to read and undo.

  4. 04

    Local when it can be.

    Arcee runs fully on Ollama with --core local; DiaChat answers on the visitor's own GPU.

  5. 05

    Ship the product around the model.

    PatentIQ is a mentor dashboard, reports and billing, not just a prompt.

Shipped for others

Who I’ve worked for.

  • I worked for

    Caudal AI Labs

    As
    AI Systems Evaluation Intern
    When
    Jul 2026 – Sep 2026
    • Evaluated LLM systems for accuracy, originality, quality and instruction compliance.
    • Documented model behaviour, edge cases and failure patterns for quality assurance.
    • Engineered prompt-driven evaluation workflows with structured testing and analytical review.
    • Turned inconsistencies and failure modes into feedback for iterative model improvement.

  • I worked for

    Sutr Clothing

    As
    Full Stack Developer
    When
    Apr 2025 – Nov 2025
    • Built production web workflows serving 500+ monthly customers.
    • Improved customer and admin workflows across payments, cart and fulfilment.
    • Integrated Razorpay payment verification and Ekart logistics APIs with error handling across order and delivery flows.
    • 500 ms cart sync, reusable React components and validation-driven UI testing.
    sutr.store

The fine print

Studying

B.Tech, Computer Science & Engineering
Lovely Professional University, 2023 – 2027

Certificates

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