18%
NYURay simulation accuracy improvement
About
Systems-minded founder energy
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.
- Multi-cloud orchestration + GPU scheduling (CloudTune)
- Agentic AI backends with receipts & policy rails (Axiom)
- 3D environment + FR3 datasets for wireless research (NYU Wireless)
- Compliance-ready logging + quant infrastructure (algo trading + RevSplit)
- Productized student ventures (ChessBet, Certify, LabScoutr)
NYU CAS · CS major · Math minor
NYU Wireless · Prof. Ted Rappaport & Prof. David Fouhey
VIP AI in Education · OptiReality
Greene & SIM supercomputing
CloudTune founder
Axiom co-builder
Think Do Thrive grant recipient
Flagship Builds
Products that feel like startups
CloudTune — No-code multi-cloud LLM platform
Pilot-stage platform for dataset intake, training orchestration, model registry, evaluation, and endpoint operations across AWS, GCP, and Azure.
- Built the control plane and cloud infrastructure with FastAPI, Docker, Terraform, CI/CD, and Prometheus/Grafana.
- Added cost accounting, GPU-aware scheduling, and release-control workflows for model training and deployment.
- Validated end-to-end flows from project creation to evidence export and endpoint inference.
Axiom — AI compliance & audit microservices
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.
- Built WORM-style evidence capture, receipt generation, and exportable binder workflows.
- Tracked lineage across runs, models, and operational events for review and audit use cases.
- Designed to pair with CloudTune for governed training and release workflows.
Multi-layer crypto & equities algorithmic trading engine
Realtime market data and experimentation stack built around Coinbase WebSockets, order-book analytics, RL experiments, and monitoring dashboards.
- Backtest harness for market microstructure features, simulation, and strategy iteration.
- Feature pipelines backed by Redis and DuckDB for order-book and event-driven signals.
- Monitoring layer with Grafana dashboards for runtime visibility and debugging.
Ventures
Experiments with founder-market fit
Peer-to-peer wagering for online chess
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.
- Anti-cheat layer that inspects PGN streams + engine drift.
- FastAPI + WebSockets backend with event-driven payouts.
- ELO-aware matchmaking plus compliance checks per match.
Searchable certification intelligence
Ranked catalog of CS, finance, and cybersecurity certifications so students can compare difficulty, cost, and study paths like a college-search portal.
- Elastic-style search with filters for modality, provider, and stack.
- Difficulty tiers, salary lift data, and curated prep tracks.
- SEO-first content engine for organic growth.
$2K Think Do Thrive winner for research matching
Rate-my-lab marketplace built with the Burton D. Morgan Foundation + Veale Institute; surfaces mentorship style, culture, and workload across labs.
- Students review PIs, equipment access, and publication cadence.
- Search + filters across disciplines with trust + anonymity levers.
- Funds go to onboarding NYU + Case Western pilot cohorts.
Split-tracking intelligence for retail investors
Python + Alpaca/Polygon powered feed that tracks upcoming stock splits, reverse splits, and the downstream liquidity impacts.
- Event calendar with alerts + brokerage-grade CSV exports.
- Historical models explaining price behavior post-event.
- Educational explainers to onboard newer investors.
Research & Academic Work
Applying AI to wireless systems, perception, and learning
Comprehensive FR3 Radio Propagation Modeling
NYU Wireless · Prof. Theodore S. Rappaport · Nov 2023 - May 2024
- Executed upper-mid band campaigns (6.75 / 16.95 GHz) across 100+ TX-RX pairs with standardized capture + documentation.
- Unified ~150 GB of power-delay profiles + metadata into a NYUSIM-ready dataset for global researchers.
- Leading publication efforts that benchmark FR3 reliability for future 6G systems.
Material-aware 3D Scene Reconstruction for Ray Tracing
Prof. David Fouhey & Prof. Rappaport · Sep 2023 - Present
- Reconstructed ~2,500 sqm indoor space with <=10 cm geometric error and 89% material precision, improving NYURay by +18%.
- Extended to 2 sq km outdoor captures using Record3D + COLMAP with plane/object segmentation.
- Pipeline powers wireless ray-tracing simulations and robotics experiments.
VIP: AI in Education & OptiReality
NYU Vertically Integrated Projects · 2023 - Present
- Deploy AI copilots that translate lecture signals into adaptive feedback for instructors.
- Prototype OptiReality overlays that merge LiDAR maps with vision-language grounding.
- Coordinate cross-discipline student teams; present findings to NYU faculty sponsors.
Experience
Teaching, backend platforms, and infrastructure
Teaching Assistant — Introduction to ECE (ECE-1002)
Feb 2025 - May 2025 · NYU WirelessMentored 160 students through labs + office hours, authored ABET-aligned assignments, and co-wrote a new ECE/CS fundamentals text with Prof. Rappaport.
MentorshipEmbedded labsCurriculum design
Research Engineer — NYU Wireless
Nov 2023 - Present · NYU Wireless / NYURayLed 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%.
FR3COLMAPOpen3DNYUSIM
AI-Driven Backend Systems Intern — Nanjing Tech Company
Jan 2023 - Dec 2023 · Nanjing, ChinaLaunched 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.
JavaSpring BootRedisMySQLObservability
Founder / Platform Engineer — CloudTune & Axiom
2024 - Present · NYCBuilding founder-led infrastructure projects focused on governed AI workflows, deployment tooling, and cloud-native operational controls.
FastAPITerraformAWS / GCP / AzureReactPrometheus
Focus Areas
How I operate
AI Systems
LoRA/QLoRA, RL, vector DBs, retrieval, model evaluation, inference cost modeling.
Distributed Infra
Autoscaling microservices, Terraform modules, multi-cloud GPU scheduling, SOC2-lite controls.
Wireless & Sensing
FR3 measurements, LiDAR/COLMAP recon, NYUSIM modeling, ray-tracing friendly datasets.
Algorithmic Markets
Market microstructure signals, RL trading agents, kill switches, observability pipelines.
Stacks & Skills
Full-stack founder toolchain
Languages
Python, Java, TypeScript/JavaScript, C/C++, SQL, CUDA
AI / ML
PyTorch, TensorFlow, RL (PPO, SAC, DQN), LoRA + QLoRA, vector databases, Hugging Face pipelines
Cloud & DevOps
AWS (SAA-Pro + Security), GCP PDE, Azure, Terraform, Docker, Kubernetes, Redis, PostgreSQL, MySQL, Grafana, Prometheus, Cloudflare
Systems & Specialties
Distributed systems, GPU scheduling, API design, observability, wireless communication, 3D reconstruction, algorithmic trading
Coursework
Curriculum aligned with the work
CS & Software
- Basic Algorithms
- Operating Systems
- Computer Systems Organization
- Software Engineering
- Data Structures & OOP (Java / C++)
- Computational Tools for Engineers
ML, AI & Data
- Fundamentals of Machine Learning
- Natural Language Processing
- Statistical Learning Methods
- Deep Learning Systems (PyTorch/TensorFlow)
- Reinforcement Learning for Wireless Systems
- Data Science for Engineers
Cloud & Infrastructure
- Distributed Systems
- Database Systems (SQL/PostgreSQL/MySQL)
- Cloud Computing on AWS/GCP
- DevOps & Infrastructure as Code
- Parallel & High-Performance Computing
Wireless & 3D Vision
- ECE Fundamentals
- Signals & Systems
- Wireless Communications (FR1-FR3)
- Electromagnetics & Propagation
- 3D Vision & Reconstruction (COLMAP / Open3D)
- Ray Tracing for Wireless Systems
Mathematics
- Calculus I-III
- Linear Algebra
- Probability & Statistics
- Discrete Mathematics
- Optimization Methods
Writing
Deep dives, build logs, and research notes
CloudTune: Distributed GPU Broker Playbook
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 essayAxiom: Compliance Rails for Fast AI Teams
How 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 essayRealtime Trading Engine Architecture Notes
A 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
Proof I obsess over infra
Certifications
- AWS Solutions Architect — Professional & Associate
- AWS Security — Specialty
- Google Professional Data Engineer
- Oracle Java SE 11 Developer
Programs & Activities
- NYU VIP: OptiReality · AI in Education · FAMS
- NYU Wireless Research Group
- Google + NYU hackathons & accelerator programs
- Leslie eLab / Startup Sprint initiatives
Grants & Recognition
- Think Do Thrive Grant - $2,000 for LabScoutr
- NYU Wireless Research recognition for FR3 + NYURay work
- NYU Greene / SIM allocations for FR3 + trading workloads
Contact
Let's build something audacious
I am most interested in ML systems, backend infrastructure, and research-heavy engineering work. Reach out for U.S. internships, collaborations, or startup projects.