CS + Economics grad | ML, AI Infra, and Computer Vision Engineer
I'm a solutions engineer at Sinequa by ChapsVision. I graduated from Union College, NY, majoring in Computer Science and minoring in Economics and Japanese. I've interned at GE Vernova, built real-time computer vision systems, contributed to TensorFlow, Camel AI, and memvid communities, and implemented Stable Diffusion from scratch in PyTorch for fun! Currently working on a browser-based agent to make workflow automation easier.
I’m looking for opportunities to collaborate and work with early-stage startups and mid-size teams building intelligent systems, particularly in ML infrastructure, robotics, or RAG/LLM applications.
Languages: Python, C++, Java, SQL, OCaml, Typescript, C#
Frameworks: PyTorch, TensorFlow, ROS, Flask, Angular
Tools: Docker, Azure, Git, REST APIs, Vite, Node.js
-
📞 Call Assistant
Gemini-based voice assistant with secure RAG over internal KBs (exploring browser-based agents for easy integration and workflow automation). -
🚀 Stable Diffusion From Scratch
Full PyTorch implementation of latent diffusion model using DDPM + UNet + CLIP. -
🤖 TurtleBot Spatial Tracker
Laser distance sensor + CV fusion for real-time robotic object tracking and navigation. -
🖐️ Distress Signal Detection
Real-time pose-based signal classification using keypoint models and OpenCV. -
🧬 Open-source Contribution
- Contributed to TensorFlow and Keras by adding public datasets, writing usage examples, and authoring tutorials for key APIs.
- Contributed to Zulip by adding chatbots to automate tasks like translation, dictionary lookup, and adding sprites.
- Implemented a new web crawling agent for Camel AI, enabling support for crawl4ai and expanding the platform’s LLM-ready data extraction capabilities.
- 💌 [email protected]
- 📱 +15189861527
- 🧠 Open to full-time roles and partnerships!
“Build what you wish existed. Stay curious.”