Software engineer with 4 years at BlackRock, building distributed backend systems, regulatory technology, and agentic AI infrastructure on the Aladdin platform.
Currently pursuing my MS in Computer Science (AI) at the University of Southern California.
I like problems that sit at the seam between large-scale systems and machine learning — LLM tooling that has to survive real production traffic, not just a demo.
Jan 2025 – Jul 2026 · Gurugram, India
Built an MCP Server for API infrastructure using LangChain and LLMs, turning natural language prompts into executable, context-aware API calls inside an agentic framework. Shipped an end-to-end RAG pipeline (LangChain + ChromaDB + Azure DevOps REST APIs) that automated release note generation. Core developer on user management APIs serving 1M+ users across 200+ clients, with gRPC services and Protocol Buffers for identity lookup and access governance.
Tech: Python, LangChain, ChromaDB, gRPC, Protocol Buffers, Airflow, Azure
Jul 2022 – Dec 2024 · Gurugram, India
Designed microservices powering 6+ global OTC derivative regulations. Built a Reporting Validation Platform using the Template Method pattern that cut processing time by 80%. Set up observability with Grafana and Prometheus, and automated memory profiling and leak detection through a Jenkins/Docker CI/CD pipeline.
Tech: Java, Spring Boot, Grafana, Prometheus, Jenkins, Docker
Jan 2022 – Jun 2022 · Gurugram, India
Built a Data Harness for Aladdin applications and automated workflow pipelines across 100+ clients. Received a return offer for full-time.
University of Southern California — Aug 2026 – May 2028 Master of Science in Computer Science (Artificial Intelligence)
Thapar Institute of Engineering and Technology — Aug 2018 – May 2022 Bachelor of Engineering in Computer Engineering · CGPA 8.88
Also working with: LangChain · RAG · Agentic AI frameworks · Prompt engineering · gRPC · Protocol Buffers · Airflow · ChromaDB · Selenium · JUnit
Interview Reels — Flutter, Spring Boot, PostgreSQL, Redis, AWS S3 A short-video platform for technical interview prep. JWT-authenticated Spring Boot APIs with Redis-backed feed caching, and a Flutter client with a rule-based recommendation engine that personalizes feeds by followed creators, watch history, and popularity.
Distributed Rate Limiter — Java, Spring Boot, Redis, Docker Rate limiting service supporting token-bucket and sliding-window algorithms, with Redis holding shared state across horizontally scaled nodes. Uses atomic Redis operations to avoid race conditions on shared counters.
Visual Speech Recognition System — Deep Learning Real-time spatio-temporal encoder and descent-based decoder for lip-reading, generating speech and text transcriptions for speech-impaired users.
📘 IoT-Based Women Safety Gadgets: Vision, Architecture, and Design Trends Computers, Materials & Continua (2021) — 500+ views and downloads. Led a team of 4 building a safety device with pepper spray, geotagged location tracking, and emergency SOS alerts.
📗 Visual Speech Recognition for Speech-Impaired Individuals Wiley (2021) — Real-time lip-reading system.
📝 Detecting Out-of-Memory Issues in Spring Boot Servers BlackRock internal tech platform (2024) — Using SpringBootTest under restrictive environment configs to catch OOM failures early in the SDLC.
🦁 Treasurer, Leo Club Gurugram Cybercity — youth leadership and community service under Lions Club International 🤝 Volunteer, BlackRock Gives — 40+ hours with non-profit partners 📜 Certifications: Azure Fundamentals (AZ-900) · Machine Learning (Stanford, Coursera) · DeepLearning.AI Specialization · Self-Driving Cars (Univ. of Toronto)