📍 Freelance + Independent Researcher | United States
- Independent AI/ML researcher focusing on new model arch itectures, efficient training, and multimodal systems
- Full-stack & systems engineer with experience across Python, Rust, JS/TS, Linux, and cloud ecosystems
- Invested in infra that scales: FSDP, Ray, Kubernetes, spot-GPU training pipelines, CI/CD, IaC
- Build creative + scientific tools—simulation engines, annotators, media pipelines, agent frameworks
- Passionate about problem spaces where research meets product (ML systems, optimization, autonomy)
- Preparing applications for CS and EE graduate study; actively crafting publications & research proposals
- Current interests: memory-compressed attention, byte-level VLMs, multi-agent RL, modern compiler design
💼 Seeking: Software engineering roles · ML engineering roles · R&D roles · CS/EE graduate programs Open to collaborations: research, open-source, and specialized engineering consulting
- Programming Languages: Python (Proficient), Java (Intermediate), JavaScript (Familiar)
- Frameworks/Libraries: TensorFlow, PyTorch, React, Node.js, Flask, Scikit-learn
- Databases: PostgreSQL, MySQL, MongoDB
- Tools: Git, Docker, Kubernetes, AWS, VS Code
- PyTorchSwift — a Swift 5 wrapper for PyTorch and Torchvision, enabling seamless integration with domain-specific hardware through intermediate representation optimization
- GymStrategy — a Kitura Server application and React.js UI utilizing OpenAI's gym library to train reinforcement learning policies in the Swift 5 programming language.
- WindFarmSpotter — A containerized inference service for web and IoT edge (NVIDIA Jetson TX2) devices; with end-to-end deep learning pipeline to classify U.S. Wind Farms capacity from geospatial features converted to satellite images.
- FastEfficientCovidnet: Fast.ai training pipeline for Covid-19 detection from chest x-rays; inference service built with Python/Streamlit/Docker.
- DeepBlock — Presented at NeurIPS 2018 workshops as a poster.
Systems Programming & Computer Architecture (2023-2024)
- Rust Programming Specialization - Duke University (2024)
- C and C++ Specialization - University of California, Santa Cruz (2023)
- Rust for DevOps - Duke University (2024)
- Advanced Security Topics - University of Colorado Boulder (2024)
- DDoS Attacks and Defenses - University of Colorado Systems (2024)
Software Engineering & Infrastructure (2022-2024)
- Software Engineering - Hong Kong University of Science and Technology (2024)
- Fundamentals of Ansible - Red Hat (2024)
- Cloud-Native Development with OpenShift and Kubernetes - Red Hat (2022-2023)
Machine Learning Systems & Operations (2024)
- LLMOps Specialization - Duke University (2024)
- MLOps Specialization - Duke University (2024)
- Rust for Large Language Model Operations - Duke University (2024)
- Applied Python Data Engineering - Duke University (2024)
Machine Learning & AI Foundations (2018-2023)
- Reinforcement Learning Specialization - University of Alberta (2023)
- Machine Learning Engineer Nanodegree - Udacity, AWS (2020)
- AI for Medicine Specialization - deeplearning.ai (2020)
- Fast.ai Parts I & II - University of San Francisco (2018-2019)
- Deep Learning Specialization - deeplearning.ai (2018)
I’m open to roles, freelance work, collaborations, and research partnerships.