Systems.Scale.

Currently

MS Computer Science — Northeastern University

6+Yrs · Production Eng.

4.0MS · Computer Science

AWSSolutions Architect

Six years in production

High-throughput backends, ML pipelines, and real-time multiplayer architectures — built so the product layer stays simple.

Currently designing server-authoritative VR and NLP-driven analytics at Northeastern. Before that: deploy pipelines at Geode, enterprise platforms at KPMG, supply-chain systems at Blume Global.

Selected work — scroll

01Full-Stack · Backend Systems · Competition Platform

2026Arcanum

Arcanum — AI-Era Puzzle Competition Platform 02Full-Stack · Applied ML · Accessibility

2026Mnemo

Mnemo — Vocabulary Builder for Neurodivergent Learners

Invisible when it works, load-bearing when it doesn't — that's the infrastructure I like to build.

03ML · RAG · Audio Systems

2026Canvas RAG

Canvas RAG — Conversational Coursework with Voice I/O 04Full-Stack · Product · Gamification

2026HabitFlow

HabitFlow — Gamified Habit Tracker All projects →

Work

Six years of production engineering — Geode, KPMG, Blume Global.

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Projects

VR sandboxes, RAG systems, clinical NLP — things I build to learn.

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Let’s build

Have a system worth building?

Open to roles in applied ML, distributed systems, and real-time backend engineering. Internships, full-time, or research collaborations.

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