Systems · evidence · boundaries

Building what excites me.

I design and build AI products where trust, retrieval, privacy, and durable state need to survive contact with real systems.

India · engineering portfolio · public-safe by default Read the work index →
Engineering notes and system diagrams arranged on a desk The work starts before the model: context, evidence, and the edge of the system.
Documentary desk study from the project archive. Hero crop 4:5.

01 / Selected work

Small surfaces. Serious boundaries.

Projects are ordered by how clearly their documentation supports a public case study—not by invented impact.

Featured case study · in-development Career Copilot Local-first career assistant for structured job review and guided onboarding. Public repository documents a bounded /save flow, guided onboarding, trusted request context, and owner-scoped persistence. Multi-user and browser-assisted expansion remain intentionally out of scope. Read the case study →

Reliable AI starts where the happy path ends.

02 / Current focus

Patterns that make agent systems easier to trust, inspect, and improve.

The work stays centered on product and engineering moves that help people understand the boundary, the fallback, and the evidence path.

  • Memory and context boundaries
  • Evaluation tied to user value
  • Privacy-aware agent workflows
  • Fallbacks that preserve useful outcomes

03 / Writing

The note behind the decision.

Each note starts in a public README or accepted ADR and returns to the project that made the question concrete.

04 / Resume

A timeline, not a claim cloud.

Verified experience has its own route. The web timeline is the current resume format.