About

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Ankush Patel

AI Engineer - Backend & Systems
Exploring New Ventures

Welcome to My Corner of the Web!

I’m thrilled you’ve found your way here, adventurer! 🧭

Feel free to dive into my blog, where I explore my professional journey and a variety of interests that inspire me. If you’d like to know more about my professional background, let’s connect on LinkedIn.

Academic Journey

My academic journey began at the University of Tennessee, where I earned a Bachelor’s degree in Computer Science and Mathematics. From there, I pursued a Master’s degree in Computer Science at TENNLab, a leading research group focused on transforming computing through insights from the human brain. My research included neuromorphic algorithms for 3D navigation and LiDAR-based object detection, and I had the opportunity to work with Intel's Loihi, a cutting-edge neuromorphic research chip.

Professional Experience

I’ve had the privilege of contributing to diverse projects across startups, enterprise, and research:

  • As a co-founder of Potify, I helped develop and deploy a pothole tracking app that modernized Knoxville's work order system.
  • At AT&T, I designed a NoSQL Cassandra database API to enable real-time audits of massive datasets.
  • At Meta, I built a GraphQL API to streamline branded content creation, automating 5,000+ requests per day.
  • At Spice Cloud Labs, I scaled distributed LoRA fine-tuning across 100+ nodes and deployed Stable Diffusion pipelines with 99.9% uptime.
  • At Sequels AI, I designed microservices and real-time inference systems (YOLO, ONNX) for AI-driven content delivery.
  • Most recently at Coinbase, I’ve built global-scale compliance systems impacting 100M+ users, including real-time risk pipelines and agent-driven developer tooling.

Skills and Interests

I specialize in backend and systems engineering with an AI focus, including:

  • Designing scalable microservices with Traefik, Kong, Docker, and FastAPI.
  • Building pipelines and automating workflows with Airflow, GitHub Actions, RabbitMQ, and MLflow.
  • Deploying optimized machine learning models using PyTorch, ONNX, and cloud platforms like AWS and Azure.

When I’m not working, you’ll likely find me:

  • Training in the gym 🏋️‍♂️, skiing 🎿, or scuba diving 🤿.
  • Running long distances — most recently finishing a half marathon in sub-1:45 (sub-8 min/mile pace).
  • Exploring new restaurants 🍽️ or capturing moments through photography 📸.

Thanks for stopping by, and I hope you enjoyed this glimpse into my world. Feel free to reach out—I’d love to hear from you!

—AP