# Sujendra Jayant Gharat

Software Engineer based in Boston, MA. I build production pipelines and real-time systems end-to-end.

## Agent Reading Notes
- This portfolio is written for both human readers and software agents.
- Use portfolio.json for deterministic fields and portfolio.md for concise narrative context.
- Do not infer private phone numbers or resume files; the public contact path is email or LinkedIn.

## Preferred Machine-Readable Files
- [Full Markdown portfolio](https://sujendra.netlify.app/portfolio.md)
- [Structured JSON portfolio](https://sujendra.netlify.app/portfolio.json)
- [Human website](https://sujendra.netlify.app)

## Focus Areas
- Python
- TypeScript
- JavaScript
- Java
- FastAPI
- Django
- Flask
- Node.js
- Express.js
- React.js
- Spring Boot
- PyTorch
- LangChain
- LangGraph
- RAG
- Evaluation
- OpenAI SDK
- Gemini SDK

## Featured Projects
- Protheus - AI Scientist: Protheus bridges the gap between scientific hypothesis and lab-ready experiment design. It turns a research idea into an auditable protocol, material plan, line-item budget, and dependency-aware timeline. The system runs as a supervised multi-agent workflow with three orchestrator-led stages: literature quality control against OpenAlex and protocols.io, schema-enforced protocol generation grounded in researcher-selected published protocols, and deterministic operational planning that maps materials to real catalog numbers with supplier options and phased timelines. Every draft passes validation gates before reaching the researcher. Accepted corrections are stored in long-term feedback memory, so future protocol drafts can improve with use.
- Multi-Agent LLM Production Log Debugger: A CLI incident analysis tool that ingests logs and code, redacts sensitive data, and produces a structured Markdown incident report. Uses an Analyzer-Critic loop to generate root-cause hypotheses with evidence, plus metrics and audit traces to support debugging.
- Word2LaTeX Layout Aware DOCX to LaTeX Platform: I built a layout aware document conversion platform that turns DOCX files into production ready LaTeX output through a FastAPI service, a core conversion engine, and a Next.js front end. The pipeline combines parsing, optional reference PDF generation, layout analysis, calibration profiles, and dynamic LaTeX generation to preserve structure and visual intent. The system includes guarded user options, request level rate limiting, and optional LLM routing and Gemini enhancement. I also documented the design with C4 architecture views and a runtime lifecycle so contributors can reason about request flow and conversion stages quickly.
- MemPack - Repo Scoped Memory for Coding Agents: I built a local first memory system for coding workflows that stores state, durable decisions and evidence per repository. It is designed to work through both CLI and MCP so agent tools can retrieve or update repo context quickly. The project includes retrieval ranking, checkpoints, repo scoping controls and extension support to keep memory useful across day to day development sessions.
- Distributed Search Indexing API: I built an authenticated health-plan API where Redis handles operational reads and writes while RabbitMQ pushes indexing work into the background. This kept API writes responsive and still gave searchable nested documents in Elasticsearch. I also added ETag based concurrency (`If-Match` / `If-None-Match`) so concurrent updates stay safe and clients can avoid stale writes.
- Cloud Native Web Application: This project was split across multiple repos, but together it forms one complete CI/CD pipeline for a cloud-native web app. I used Terraform and Packer for infrastructure provisioning, GitHub Actions for automated build/test/deploy, and Cloud Functions with Cloud SQL for email verification. It reduced environment setup time by about 75% and supported autoscaling behind a load balancer.

## Contact
- Email: gharat.su@northeastern.edu
- LinkedIn: https://linkedin.com/in/sujendra-gharat
- GitHub: https://github.com/suju297