Software Engineer with 3+ years of experience building scalable Java backend systems at Northern Trust. I work primarily in Java 17+, Spring Boot, and distributed microservices — and I enjoy the intersection of solid backend engineering and applied AI.

"Someone has already solved your problems." — Head First Design Patterns

Primary: Java 17+, Spring Boot, Spring Security, JPA/Hibernate, RESTful APIs, Microservices
Distributed Systems: Apache Kafka, Event-Driven Architecture, CQRS, Saga Pattern, DLQ
Databases: Oracle, PostgreSQL, MySQL, MongoDB
Cloud / DevOps: Azure, PCF, Docker, GitHub Actions, CI/CD
Testing: JUnit 5, Mockito, TDD, Integration Testing
Also worked with: Python, FastAPI, ReactJS, Redux

IBM Hackathon 2026
Production-grade event-driven POS transaction processor using Java 17, Spring Boot, Apache Kafka, CQRS, Drools, MongoDB, and PostgreSQL. Handles real-time EMI generation, reward negotiation, saga-like timeout handling, and DLQ-based error recovery.
Java 17 Spring Boot Kafka CQRS MongoDB PostgreSQL Drools Docker

Full-stack personal finance analytics platform with a Spring Boot backend, JWT authentication, MySQL, and a Python/FastAPI AI engine for spending analysis and financial recommendations.
Java 17 Spring Boot Spring Security MySQL Python FastAPI React

Gridlock Hackathon 2.0 (Flipkart) — Round 2
Predicts event-driven traffic congestion and recommends manpower, barricading, and diversion plans before disruption peaks. LightGBM ML models trained on 8,173 Bengaluru traffic records; live Mappls map visualization and what-if simulation.
Python FastAPI LightGBM React TypeScript

Microsoft Build AI Hackathon 2026 — Top 25
LLM-powered repository understanding platform. Input a GitHub URL → get tech stack detection, AI-generated architecture diagrams, module summaries, and engineering recommendations in under 60 seconds.
Python FastAPI GPT-5 (GitHub Models) Next.js React Flow

Meta PyTorch OpenEnv Hackathon 2026 — Finalist (Top 800 / 31,000+ teams)
Reinforcement learning environment where an AI agent acts as a Tech Lead managing 1–6 Agile sprints. Features a 3-layer reward system, Guard/Loop/Stall inference defense mechanisms, and benchmarks against rule-based and LLM baselines.
Python FastAPI Reinforcement Learning LightGBM React

• Microsoft Build AI Hackathon 2026 — Top 25 (CodeAtlas)
• Meta PyTorch OpenEnv Hackathon 2026 — Finalist, Top 800 / 31,000+ teams; selected for 48-hour AI hackathon in Bangalore
• IBM Hackathon 2026 — POS EMI & Reward Negotiation System
• Gridlock Hackathon 2.0 (Flipkart) — Round 2, GridMind
• Microsoft Azure Fundamentals (AZ-900)
• Citi Bridge Program 2022 — Selected trainee

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