18%
NYURay simulation accuracy improvement
ML systems · backend infrastructure · research
Building multi-cloud AI platforms, backend systems, and research-driven infrastructure.
NYU Computer Science · CloudTune founder · NYU Wireless researcher · systems-minded builder
Open to U.S. ML systems, backend, and infrastructure internships.
CloudTune GPU Orchestrator
Dataset intake · Training orchestration · Endpoint opsAxiom Data Rights OS
Evidence capture · Audit binders · Policy railsRealtime Trading Engine
Order-book analytics · RL experiments · Monitoring18%
NYURay simulation accuracy improvement
2,500m²
Indoor reconstruction pipeline built for wireless research
6
Hackathons organized around AI, engineering, and student innovation
160+
NYU students mentored across ECE-1002 labs
About
I am a New York University CS + Math student obsessed with the infrastructure layer: I build multi-cloud GPU brokers, agentic AI backends, compliance-grade audit systems, wireless measurement pipelines, and trading engines that can survive production constraints. My week is split across NYU Wireless research, Vertically Integrated Projects, and founder sprints for CloudTune, Axiom, and a few venture experiments.
Tooling sweet spot: Python · FastAPI · Go · Java · Terraform · AWS/GCP/Azure · Docker/Kubernetes · Redis/PostgreSQL/MySQL · PyTorch/CUDA plus COLMAP/Open3D, NYUSIM/NYURay, and Grafana/Prometheus observability. I like to prove ideas with research rigor, then wrap them in an ops-friendly platform.
Flagship Builds
Pilot-stage platform for dataset intake, training orchestration, model registry, evaluation, and endpoint operations across AWS, GCP, and Azure.
Compliance-oriented control plane for evidence, audit logs, binder generation, and policy rails around AI workflows. Architected as a set of Go and FastAPI services with Redis streams and PostgreSQL-backed state.
Realtime market data and experimentation stack built around Coinbase WebSockets, order-book analytics, RL experiments, and monitoring dashboards.
Ventures
A YC-style MVP that lets verified Chess.com / Lichess players spin up real-time wagers backed by an escrow wallet and instant dispute tooling.
Ranked catalog of CS, finance, and cybersecurity certifications so students can compare difficulty, cost, and study paths like a college-search portal.
Rate-my-lab marketplace built with the Burton D. Morgan Foundation + Veale Institute; surfaces mentorship style, culture, and workload across labs.
Python + Alpaca/Polygon powered feed that tracks upcoming stock splits, reverse splits, and the downstream liquidity impacts.
Research & Academic Work
NYU Wireless · Prof. Theodore S. Rappaport · Nov 2023 - May 2024
Prof. David Fouhey & Prof. Rappaport · Sep 2023 - Present
NYU Vertically Integrated Projects · 2023 - Present
Experience
Mentored 160 students through labs + office hours, authored ABET-aligned assignments, and co-wrote a new ECE/CS fundamentals text with Prof. Rappaport.
Led FR3 (6.75 / 16.95 GHz) campaigns, curated 150 GB of PDP data, and reconstructed 2,500 m2 indoor + 2 km2 outdoor environments with COLMAP, Record3D, and Open3D to improve NYURay accuracy by 18%.
Launched AI-assisted backend monitoring services in Java and Spring Boot, reducing downtime by 15%, boosting throughput by 40% with multithreading and Redis caching, and trimming API latency by 25% through MySQL tuning.
Building founder-led infrastructure projects focused on governed AI workflows, deployment tooling, and cloud-native operational controls.
Focus Areas
LoRA/QLoRA, RL, vector DBs, retrieval, model evaluation, inference cost modeling.
Autoscaling microservices, Terraform modules, multi-cloud GPU scheduling, SOC2-lite controls.
FR3 measurements, LiDAR/COLMAP recon, NYUSIM modeling, ray-tracing friendly datasets.
Market microstructure signals, RL trading agents, kill switches, observability pipelines.
Stacks & Skills
Python, Java, TypeScript/JavaScript, C/C++, SQL, CUDA
PyTorch, TensorFlow, RL (PPO, SAC, DQN), LoRA + QLoRA, vector databases, Hugging Face pipelines
AWS (SAA-Pro + Security), GCP PDE, Azure, Terraform, Docker, Kubernetes, Redis, PostgreSQL, MySQL, Grafana, Prometheus, Cloudflare
Distributed systems, GPU scheduling, API design, observability, wireless communication, 3D reconstruction, algorithmic trading
Coursework
Writing
Lessons from turning CloudTune into a one-click GPU broker: Terraform modules for AWS/GCP/Azure, FastAPI schedulers that respect spot volatility, and the observability stack that keeps LoRA / QLoRA training receipts compliant.
Read essayHow we designed WORM evidence stores, microservice guardrails, and binder automation so regulated AI + trading teams can ship product without waiting on legacy governance vendors.
Read essayA breakdown of my multi-layer Coinbase engine: order-book pressure features, RL agents (SAC/PPO), Grafana dashboards, and the kill switches that keep student trading infrastructure sane.
Read essayMore essays + build notes live on LinkedIn.
See LinkedIn HighlightsCerts & Highlights
Contact
I am most interested in ML systems, backend infrastructure, and research-heavy engineering work. Reach out for U.S. internships, collaborations, or startup projects.