Technical Skills
Languages:Python, SQL, JavaScript, TypeScript, Bash, HTML, CSS, YAML
Frameworks & Tools:React, Next.js, Node.js, Express.js, FastAPI, REST API, GraphQL, PostgreSQL, MongoDB, Supabase, Firebase, Redis, Kafka, Mongoose, MySQL, OAuth, JWT, SSO, CI/CD, Git, Agile, OpenAPI
Cloud & DevOps:AWS (EC2, Lambda, S3, CloudWatch, RDS, API Gateway, SQS, EKS), Vercel, GCP, Docker, Kubernetes, Linux
AI/ML & Automation:Claude Code, Cursor, LangGraph, LangChain, PyTorch, LLMs, Groq, OpenAI API, Anthropic API, Gemini, Semgrep, MCP
Experience
Commonwealth Cyber InitiativeCurrent
Researcher
Jan 2025 – Present
Arlington, VA
- Implemented an LLM agent system on LangGraph to triage security alerts and auto-generate detection rules, reducing mean time to detect by 50%.
- Built reusable RAG ingestion and retrieval pipelines on LlamaIndex and ChromaDB supporting vector and knowledge-graph modes, citation-aware querying, and incremental hash-based re-indexing, exposed as composable tools any agent in the platform can call.
- Designed a tool-first agent platform on LangGraph to enable composition of specialist AI assistants from a shared tool registry (RAG, SIEM, formal verification, web search, fine-tuning), with a provider-abstracted LLM layer and MCP server exposure for AI-IDE integration.
American Chemical Society
Software Engineering Intern
May 2025 – Aug 2025
Washington, DC
- Architected an agentic workflow on ACS Publications integration platform using LangGraph's ReAct loop orchestrating multi-step API integrations across AWS services and third-party SaaS vendors, reducing edge-case integration failure resolution time by 70%.
- Engineered an agentic GitHub PR analytics system to eliminate manual identification of high-risk PRs by automating data collection, which led to 85% reduction in review effort.
- Set up a GitHub Actions CI/CD pipeline for ACS Pubs repos, increasing deployment frequency from weekly to over 10 deployments per day.
TATA AIG General Insurance
Software Engineer
Sep 2022 – July 2024
Gurugram, India
- Developed the backend services of a highly scalable portal for creating and modifying policies using Lambda, RDS, NodeJS, S3, achieving a 90% improvement in TAT.
- Developed a cross-organization report and access management platform using ReactJS, EC2 and ExpressJS, reducing the time required for generating and sharing reports by 80%.
- Successfully integrated the legacy Genesis Configurator API into the backend system, modernizing the infrastructure and improving system performance.
- Implemented different product APIs by adding authorization and rate limiting using AWS API Gateway, VPC, Redis, directly enabling new vendor integrations and partnerships.
Infosys Limited
System Engineer
Nov 2020 – Aug 2022
Mysore, India
- Built a data sync pipeline for a banking client to sync customer and loan records across RDS, S3, and downstream systems, implementing incremental batch processing with offset-based pagination and automated status tracking.
- Designed and implemented a retrying microservice for syncing cases to downstream leveraging Step Functions, and Redis, reducing failure rate by 70% and ensuring data consistency.
- Mentored new employees on clean code and best practices, conducted code reviews, and led daily stand ups.
Projects
AI Code Review Agent
Python, LangGraph, FastAPI, Next.js, Docker, Groq/Llama 3.3
- Built a multi-agent code review system using LangGraph with 4 parallel specialist agents (security, performance, style, test coverage) and a multi-provider LLM abstraction supporting Groq, Gemini, OpenAI, and Anthropic.
- Implemented smart diff chunking with priority-based file ranking, achieving 100% context precision, 86% F1 score, and 61% token savings, validated against real freeCodeCamp PRs.
Bug Localization and Repair Using LLMs
PyTorch, Llama 3B, GPT-4
- Built a dual-model system using fine-tuned Llama 3B Instruct for automated bug localization and repair, benchmarked against GPT-4 and Qwen Coder 32B.
- Augmented the QuixBugs dataset with syntactic and logical single-line bugs, and demonstrated that targeted fine-tuning can outperform larger general-purpose LLMs, while improving accuracy.
Education
Virginia Tech
M.S. in Computer Science
Aug 2024 – May 2026
Washington DC Baltimore Area, US
Galgotias University
B.Tech in Electronics and Communication Engineering
Aug 2016 – Jul 2020
Greater Noida, India