Complex systems.
Considered experiences.
I build where engineering meets possibility.
Currently in
fintech at Intuit, on the
payments gateway team.
Choose a destination. Follow your curiosity.
01 / EXPERIENCE
From intelligent tools to the systems
that help money move.
NOW BUILDING AT
Helping Intuit merchants get paid by building on and maintaining the payments gateway.
Helping systems understand
why things break.
Built and deployed a root cause analysis engine for large-scale microservices, cutting SRE manual resolution time by 66%. Combined graph neural networks, causal inference, and knowledge-graph retrieval to diagnose failures and generate remediation plans.
Real-time interaction.
Real scientific exploration.
Developed a multiplayer system for scientific experiments, enabling concurrent interaction with minimal delay through non-blocking data streams and time-series logging.
Making a platform
a little more human.
Built an AI chatbot for SaaS navigation with Angular and Python. Automated training-data generation from internal documentation, then fine-tuned LLaMA 3.1 with retrieval-augmented generation for context-aware responses. Also built semantic search for application architecture templates.
Clearer information.
Better hospital operations.
Built a central dashboard for hospital administrators to track staff and medical resources in real time.
02 / SELECTED EXPLORATIONS
An always-on-top desktop assistant that turns context into action. Local or cloud models, semantic tool retrieval, persistent memory, and multi-step execution.
View projectAn agent coordination system for moving multiple software tasks forward. Isolated worktrees, durable supervision, and explicit human control over delivery.
View projectSearch an entire local repository with natural language. Exact matching, BM25, and semantic retrieval bring the right files into focus without uploading your code.
View projectA concurrent, tiered extraction engine behind Xpdite’s web fetch tool. Starts with fast HTTP, escalates when needed, and exposes timing through terminal and web interfaces.
View projectA desktop NBA research and analytics suite. Explore player stats, team defense, and projections powered by an XGBoost model and custom Zone Matchup Score.
View projectFinding the next great watch through viewing history and ratings. A matrix factorization pipeline built with Apache Spark on the Netflix Prize dataset.
RECOMMENDER SYSTEMS EXPLORATION03 / THE PERSON BEHIND THE CODE
I’m drawn to problems that make me think: low-latency systems, machine learning, optimization, and the details that make an interface feel right.
I studied Computer Science & Mathematics at Rutgers University, graduating in 2026. My work spans research, full-stack development, and tools that make AI useful beyond a chat window. Today, that curiosity takes me into payments at Intuit.
MY WORKING TOOLKIT
Python · TypeScript · JavaScript · Java · C / C++ · SQL
React · Angular · HTML / CSS · Tailwind · Figma · GSAP
PyTorch · TensorFlow · LangChain · Spark · MongoDB · Firebase
Docker · Kubernetes · AWS · Azure · GCP · Git · Linux