I am a Software Engineer with a strong focus on data-driven systems, distributed systems, machine learning, and MLOps.
I enjoy working at the intersection of software engineering and data, where I can design robust, distributed architectures, optimize workflows, and deploy intelligent solutions in production.
I have completed relevant coursework in Data Structures, Algorithms, Software Engineering, Database Design, Operating Systems, Computer Networking, and Mobile Development - including advanced coursework in Algorithmic Foundations of Data Science where I have studied distributed computing, streaming algorithms, and large-scale data processing.
5+ internships where I have worked on QA, DevOps, and Web Development - building production-ready systems and applications from concept to deployment.
Spark MapReduce + ML pipeline for movie review sentiment with MLflow and Docker.
AI portfolio optimization with PySpark + PyTorch: MPT, Deep RL rebalancing, and Monte Carlo risk simulations.
AI-powered portfolio optimization platform with real-time data processing and advanced ML algorithms.
AI-powered visual assistant for visually impaired users with real-time object detection and navigation.
High-performance network analysis tool for cloud provider benchmarking with ICMP socket implementation.
Robust task management platform with Node.js/Express stack and MongoDB integration.
Full-stack meditation and relaxation application with personalized mindfulness features.
iOS location sharing app built with SwiftUI for discovering and sharing favorite places.