Backend Engineer · Agentic AI · SWE II
Neha Chaudhari
5+ years building scalable backend systems and Agentic AI platforms.
5+ years owning a 50K+ user e-commerce backend, then moved to Boston to go deeper into AI. Now I build agentic systems that automate business workflows, and ship MVPs every Sunday at MIT's Sundai Club. MSCS from Clark University.
Production Experience
Where I learned to own systems end-to-end
Oct 2018 – Jul 2024
5 yrs 10 mos
Owned the full backend of a monolithic e-commerce platform on Rails and PostgreSQL serving 50K+ MAU at 99.9% uptime. Managed production reliability end-to-end: Cloudflare WAF rules to block abusive traffic, checkout stability under load, and CI/CD pipelines on AWS. Built B2B pricing workflows and modular Spree extensions to support partner onboarding. Engineered an automated verification system using n8n, Supabase, pgVector, and OpenAI that cut manual review time by 60% and doubled order processing capacity. Optimized PostgreSQL queries and indexed hot paths, improving response times by 30% and overall performance by 40%. Mentored 2 junior developers, establishing Agile practices that increased sprint velocity by 20%.
Stack: Rails, PostgreSQL, Redis, Elasticsearch, AWS, Docker, Nginx, n8n, Supabase
Aug 2024 – Present
Architected CodeSentry, an autonomous security agent using MCP and LangChain that automates multi-file code audits, with a RAG pipeline on FastAPI and MongoDB that reduced false positives by 35%. Shipped Forge, a multi-agent CLI orchestrator in Python. Built Song Remixer at a Sundai Club hackathon and deployed it to Google Cloud Run in under 8 hours. Explored IoT monitoring, AI phone agents, and a Django e-commerce app with Stripe. Weekends at MIT Sundai Club building production-ready MVPs.
Coursework: Data Structures & Algorithms, Software Engineering, Advanced Software Engineering, Systems & Programming Languages, Human-Computer Interaction, Applied Machine Learning, Agentic AI
Selected Work
Backend systems and AI tools I've built and shipped to production.
Forge
Open-source CLI that turns a project spec into a working codebase. Multi-agent orchestrator with Planner, Coder, and Reviewer agents.
Owned: Agent architecture, provider abstraction, resumable build pipeline
CodeSentry
AI-driven security assistant using autonomous agents for multi-file code reviews. OWASP-aligned vulnerability detection, async processing pipeline, and real-time feedback via GitHub webhooks.
Owned: Microservices architecture, async pipelines, structured LLM outputs, API design
Song Remixer
Sundai Club MVP
AI music generator. Creates original tracks with vocals. Shipped to Google Cloud Run in under 8 hours.
Owned: Full backend, LLM orchestration, deployment pipeline
Core Skills
Python
Ruby
C#
Django
Rails
FastAPI
PostgreSQL
MongoDB
Redis
Elasticsearch
AWS
Docker
Kubernetes
Nginx
Terraform
RSpec
Pytest
Engineering Philosophy
How I think about building systems
Performance is a product feature
Query analysis, indexing hot paths, caching at the right layer. Users don't see your architecture, they feel your latency.
Reliability over hype
99.9% uptime isn't a metric, it's a commitment. WAF rules, graceful degradation, and monitoring before you need it.
Automation over manual work
If I'm doing it twice, I'm scripting it. Reduced 60% of manual operations by building verification pipelines and pricing automation.
Thoughtful tradeoffs
Monolith vs microservices, SQL vs NoSQL, build vs buy. Every decision has a cost. I pick the one that ships and scales.
Let's Connect
I value clean code, scalable architecture, and building products that solve real-world problems. Currently seeking Software Engineer roles in the Greater Boston Area.