# Amar Mahato — Work

> Public-safe work context from the portfolio. This file excludes private employer data, URLs, credentials, internal datasets, and internal metrics.

## IntelGrader

- Role: AI Engineer Intern
- Dates displayed on portfolio: May 2026 - Present
- Location: Remote
- Overview: AI Engineer Intern working across product software, backend reliability, cloud tooling, model evaluation, and coding-agent systems.

### ToruAnno

**Area:** annotation / review software

Built and maintained a multi-user computer-vision annotation and review platform on Cloudflare Workers, Supabase/Postgres/Auth, and R2, with reviewer queues, edit locks, minor-version history, resumable imports, reproducible training exports, aggregate dashboards, and concurrent-save protections.

### Production debugging

**Area:** correctness / performance

Tracked issues around image navigation, saves, locks, duplicate metadata, prefetching, dashboard cost, access control, and observability with layer-by-layer measurement, request IDs, failure classes, targeted fixes, and path-level verification.

### Anarchyc

**Area:** shared gpu coordination

Built a shared EC2/GPU coordination service with a realtime fleet dashboard, Python CLI, stable identity, token-scoped actions, waiting queues, and declared usage so people and coding agents could avoid stepping on each other.

### Shared context tooling

**Area:** agent tooling

Built shared-context tooling for coding-agent work with append-only records, namespaces, verified handoffs, secret rejection, REST/MCP surfaces, export/restore, and recovery paths for long-running tasks where memory drift creates real bugs.

### SheetScanner

**Area:** document software

Worked on Android bulk answer-sheet capture with CameraX preview, analysis, and capture; automatic page detection; ONNX document-corner inference; quality gates; page-turn/re-arm logic; batch resume; raw JPEG storage; and JSON/EXIF capture metadata.

### Model lifecycle work

**Area:** training / evaluation

Used reviewed datasets, detector training and comparison, source-separated evaluation, visual checks, leakage gates, frozen tests, and comparative benchmarks to guide model promotion and stop decisions.

## Public boundary

Public repositories and the public resume are the implementation references. Employer-private datasets, URLs, credentials, account identifiers, internal metrics, and other non-public material are intentionally excluded.