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Location: Boston, MA

Remote: Yes (US)

Willing to relocate: Yes, anywhere in the US

Technologies: Python, TypeScript, Java, Go, SQL, FastAPI, Spring Boot, Node.js, React/Next.js, Postgres, Redis, Pinecone, AWS, Terraform, Docker, Kubernetes, CI/CD, MCP servers, RAG, LLM evals (LLM-as-a-judge), voice agents (Pipecat, Deepgram, Retell), Claude and OpenAI APIs

Résumé/CV: https://www.devanshuchicholikar.com/resume

Email: [email protected]

GitHub: https://github.com/DevanshuNEU

Work authorization: Authorized to work in the US (F-1 OPT, STEM-eligible)

Software engineer and AI engineer. 2 years full-time on a Java / Spring Boot B2B platform, then an MS at Northeastern. Looking for full-time Software Engineer, AI Engineer or Forward Deployed Engineer roles.

Recent work:

- OpenCodeIntel (https://opencodeintel.com): code search for AI coding agents. Web app, REST API and a 12-tool MCP server; 94% Hit@1 across 14 open-source codebases on a 665-query research eval. Solo, MIT.

- Overhear (https://github.com/DevanshuNEU/overhear): grades every call a voice agent takes against the clinic's database. Code decides the facts, an LLM judge scores the rest; caught 23 of 23 planted failures on a 39-call golden set.

- CallBudget (https://github.com/DevanshuNEU/callbudget): a voice agent that finds scarce drugs in fewer calls (4.3 to 2.3 expected) and abstains instead of guessing (false "in stock" 10% to 0%, simulated pharmacist on real data).

- Saar (https://getsaar.com): Chrome extension on the Web Store that meters Claude.ai tokens and cost, entirely client-side.


how to reach out?


How much of the routing is real-time re-optimization vs batch overnight?


Location: Boston, MA

Remote: Yes (preferred)

Willing to relocate: Yes

Technologies: TypeScript, React, Node.js, Python, PostgreSQL, Redis, AWS, Docker, Kubernetes, GitHub Actions, OpenAI Embeddings, Vector Search/RAG, MCP (Model Context Protocol)

Résumé/CV: https://www.devanshuchicholikar.com

Email: [email protected]

Founder & CEO, OpenCodeIntel - Building the context layer for AI coding agents. We do semantic code search + dependency graph analysis, serve it via MCP so Cursor/Windsurf/Claude write code that actually fits your codebase. 87.5% Hit@1 retrieval accuracy. Landing page live, waitlist open.

Shipped: GitHub OAuth repo import, dependency visualization, full MCP integration, vector search with OpenAI embeddings.

Previous: 2 yrs full-stack @ Jaksh Enterprise - 65% API latency reduction, AWS migration, CI/CD from scratch.

MS Software Engineering @ Northeastern (May 2026). OPT = 3 years work auth, no lottery.

Looking for: Full-time SWE at early-stage startups in dev tools / AI infra / code intelligence. Also open to conversations about OpenCodeIntel.


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