Backend Systems · Distributed Architecture · AI Engineering
4 years building mission-critical systems at IBM & Wells Fargo. MS CS @ University at Buffalo. Obsessed with correctness, throughput, and making complex systems feel simple.
Software Engineer with 4 years of experience designing and deploying scalable backend and distributed systems across financial services and cloud infrastructure.
Proficient in Java and the Spring ecosystem, building event-driven Kafka pipelines, enforcing OAuth2/JWT security, optimizing relational and NoSQL databases, and operating containerized services on AWS and OpenShift with Prometheus/Grafana observability and CI/CD automation.
Mission-critical systems engineering. Click a deployment to view the tactical breakdown, stack details, and impact metrics.
The primary stack I use to build scalable architecture. Sorted by group—hover a tag to highlight related weaponry.
Experimental & Production-grade repositories.
Chrome extension that turns roadmap.sh learning progress into a structured GitHub portfolio — automatically. Like LeetHub, but for learning. Detects topic completion, generates AI-enhanced summaries, and commits structured markdown to GitHub.
AI-powered talent acquisition platform. Parses JDs and ranks candidates using NLP + ML — reduces sourcing time by 80%.
Production-grade collaborative clinical network. Doctors share cases, access AI insights, and democratize medical knowledge.
Automated ML fine-tuning and model recommendation. Orchestrates distributed GPU-backed training workloads — reduces setup time by 50%.
Full-stack prompt designer with real-time chat, MongoDB storage, and document parsing.
Enhanced Pintos (C, x86) with priority donation, MLFQ, sync primitives. 90%+ test coverage.
Airline tweet classifier with 84.6% accuracy. TF-IDF, SMOTE, sarcasm detection.
Hands-free cursor control via CV + DL. Gesture recognition and virtual keyboard.
Conversational agent with memory + ChromaDB context retrieval and adaptive tone.
Cloud architecture and AI engineering certifications from AWS, Microsoft, and industry leaders.
Preparing for AWS Certified Security Specialty to deepen infrastructure hardening skills.
Publications and research focusing on edge computing, security, and cloud orchestrators.
Performance evaluation and optimization of crop water management system based on IoT and Deep Learning. Published in Springer Nature, 2024.
Read PublicationOccasional notes on engineering, AI, and shipping well-crafted software. Posts are hosted on Medium.
A guide to the absurd and hilarious world of tech giants collaborating while competing. Welcome to the co-opetition circus.
Exploring the challenges of context window limitations and how AI models behave when conversations drift.
Building a model is only half the battle. This guide covers the critical validation steps to ensure performance beyond training data.
Looking for a Software Engineer who prioritizes system integrity and high-throughput architecture? Let's discuss your next deployment.