Transforming Ideas Into Reality
Building intelligent solutions with code—from AI-powered applications to full-stack systems.
I'm a Software Engineer and Machine Learning enthusiast pursuing my Master's in Computer Science at George Washington University. With a strong foundation in Algorithms, System Design, and AI/ML, I'm passionate about building intelligent software solutions that solve real-world problems.
My technical journey spans full-stack development, machine learning systems, and MLOps. I've built production-grade fraud detection models with 96%+ precision, developed scalable e-commerce platforms handling 1000+ concurrent users, and created AI-powered financial analytics tools. From training neural networks to architecting cloud-based microservices, I focus on writing clean, efficient code that scales and delivers measurable impact.
Visual Commerce Engine
Solving the $500B visual search problem in e-commerce. AI-powered engine that understands fashion through computer vision — zero-shot object detection, style & vibe analysis, and semantic search with two-stage retrieval and cross-encoder reranking. Production-grade with CI/CD, Redis caching, and hybrid search filters.
Enterprise-grade fraud detection system achieving 96.2% precision using XGBoost and LightGBM. Complete MLOps pipeline with MLflow tracking, CI/CD deployment, real-time drift detection, and FastAPI microservice with <50ms latency. Delivers $2.4M annual savings through 40% reduction in false positives.
Live Production System deployed on Vercel & Render. Features a Real-Time Engineering Visualizer exposing Redis distributed locks, atomic PostgreSQL transactions, and Kafka event streaming. Engineered to handle 10k+ concurrent requests with zero race conditions.
AI-powered stock analysis platform integrating real-time market data with NLP sentiment analysis. Processes 100+ financial news articles per minute, achieving 75-80% correlation to price movements. Interactive Streamlit dashboard with <2s data fetch times across 10,000+ stock tickers.
Scalable full-stack e-commerce platform supporting 1000+ concurrent users with <100ms API response time. Features JWT authentication, role-based access control, MySQL triggers for inventory automation, and type-safe React frontend with Vite optimization achieving <2s load time.
Emotion-aware music recommendation system that analyzes user emotions and preferences to curate personalized playlists. Uses machine learning to understand mood patterns and suggest songs that match your vibe.
AI-Powered Study Support System. Transforms static PDFs into interactive conversations and auto-generated flashcards using retrieval-augmented generation. Features intelligent context-aware chat, hybrid search, and real-time learning metrics.
AI-Powered Weather Platform combining real-time data with LSTM neural networks for next-day temperature prediction. Features GPS geolocation, 30-day historical analytics with Plotly visualizations, and interactive Folium maps. Glassmorphism-themed Streamlit dashboard with Docker containerization and 100+ city support across India/US/EU.
Vodafone Intelligent Solutions
Aug 2022 - Jul 2023
High Radius
Jun 2021 - Jul 2021
George Washington University
Aug 2024 - May 2026
Coursework: Design & Analysis of Algorithms, Machine Learning, Cloud Computing, Computer System Architecture
SRM University
Jul 2018 - May 2022
Coursework: Data Structures & Algorithms, Probability & Queueing Theory, Data Mining & Analytics, Artificial Intelligence
Technical insights on software engineering, machine learning, and building scalable systems.
Deep dive into MLflow, model monitoring, and deployment strategies for production ML systems.
Read Article →Building scalable streaming pipelines with Apache Kafka and Spark Structured Streaming.
Read Article →Complete guide to building and deploying Retrieval-Augmented Generation systems in production.
Read Article →I'm always interested in hearing about new projects and opportunities. Feel free to reach out if you'd like to connect!