# Amar Mahato — Public Resume Context

> Software Engineer focused on backend systems with applied-AI depth.

## Profile

Software engineer building backend systems and applied-AI products across APIs, realtime systems, databases, retrieval, reliability, internal tools, and agent workflows.

- Location: India
- Primary languages: Python, TypeScript
- Email: amarmahato.cs@gmail.com
- GitHub: https://github.com/rx6ru
- LinkedIn: https://www.linkedin.com/in/rxbru/
- PDF resume: https://rxbru.vercel.app/Amar_Mahato_Software_Engineer.pdf

## Experience

### IntelGrader — AI Engineer Intern

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

- **ToruAnno:** 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:** 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:** 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:** 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:** 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:** 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.

## Selected projects

- **Concize (Co-developed · backend by me):** Concize is a meeting workspace for Indian-language and code-mixed calls. It turns live meeting audio into searchable timelines, cited answers, and follow-up context. Source: https://github.com/rx6ru/Concize/tree/v4
- **Trecl (Solo):** Trecl is a company-research agent for targeted outreach. It studies a company, finds useful openings or OSS angles, waits for human target selection, and drafts outreach without auto-sending anything. Source: https://github.com/rx6ru/Trecl
- **IcBerg (Solo):** IcBerg is a safety layer between AI agents and databases. It reviews proposed SQL, blocks risky actions, routes approval-worthy changes to a human, and allows bounded read-only analysis when the policy permits it. Source: https://github.com/rx6ru/IcBerg
- **Strata (Solo):** Strata is a portable memory system for coding agents. It gives agents and humans one durable project record without mixing namespaces, leaking secrets, or rewriting history. Source: https://github.com/rx6ru/strata

## Engineering toolkit

- **Backend and APIs:** Python, TypeScript, Node.js, Express.js, FastAPI, REST, WebSockets, SSE, JWT/JWKS, OpenAPI
- **Data, state, and storage:** PostgreSQL, Supabase, Redis, MongoDB, SQLite, Prisma, Qdrant, RabbitMQ, row-level locking, idempotency
- **Reliability and verification:** Sentry, request tracing, structured logs, pytest, Jest/Vitest, benchmarks, baselines, retry/backoff, audit logs, leakage checks
- **Cloud and tooling:** Cloudflare Workers, Cloudflare R2, Durable Objects, AWS EC2/S3, Docker, GitHub Actions, Linux, Git, Python CLIs, Vercel
- **Applied AI systems:** RAG, LangGraph, MCP, structured outputs, multi-provider routing, LangSmith tracing, STT/OCR pipelines, RF-DETR, ONNX Runtime, model evaluation, prompt-injection checks

## Education

B.Tech in Computer Science and Engineering, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India. Expected graduation: 2027.