Software Engineer — Backend & AI Systems

I build backend services and AI-powered developer tools — Spring Boot / FastAPI systems on one side, agentic LLM workflows on the Anthropic Claude API on the other. M.S. Computer Science, University of Florida (GPA 3.92), graduated Dec 2025. Open to full-time software engineering roles.

• Backend & systems — Java / Kotlin / Spring Boot, Python / FastAPI, REST & GraphQL, microservices, performance profiling and optimization
• Agentic AI — Anthropic Claude API, prompt & context engineering, LangGraph multi-agent systems, RAG, MCP, LLM-as-judge evaluation
• LLM internals — implemented GPT-2 from scratch (multi-head attention, transformer blocks, training loop) to understand what's actually under the hood

Languages

Backend & AI

Data & Infra

Python · FastAPI · Anthropic Claude API · Strawberry GraphQL · Redis · GitHub Actions

• Uses the Anthropic Claude API to analyze pull-request diffs across diverse, unfamiliar codebases and generate structured, context-aware review feedback.
• Engineered prompts and structured-output schemas with an LLM-as-judge evaluation pipeline that catches hallucinations before anything is posted.
• Deployed on Cloud Run with multi-tier Redis caching; shipped with automated tests and CI/CD.

Python · LangGraph · FastAPI · PostgreSQL · GPT-4o

• Multi-agent LangGraph system with dynamic tool/function calling and self-reflection, orchestrating LLM reasoning over live data with conditional branching and state management.
• Optimized prompts and context windows to cut per-request LLM cost ~35% while preserving quality; added an LLM-as-judge framework for citation accuracy.

Open Source Software Developer (Android) · Greenstand · Jan 2026 – Present Refactored a localization engine in a large open-source codebase to fix a critical UI desync bug and resolved an intermittent production crash via dependency-injection scope management (Koin).

Software Engineer Intern (Performance & Backend) · Superstars, Inc. · Aug – Dec 2025 Profiled and optimized production systems (JProfiler) and built fault-tolerant Java / Spring Boot microservices with automated testing and CI/CD.

Machine Learning Intern · Jio Platforms Ltd. · Jul – Sep 2023 Built distributed PySpark / XGBoost data pipelines processing 10M+ daily records.

• M.S. Computer Science — University of Florida · 2024 – 2025 · GPA 3.92
• B.Sc. Computer Science — Bennett University, India · 2020 – 2024 · GPA 3.83