About Me

Software engineer at Oracle building computer vision infrastructure for production AI applications. AI Master's student at UT Austin studying applied ML, reinforcement learning, and real-time perception systems.

I take ML systems from research to production—RAG pipelines, computer vision models, and scalable inference at enterprise scale. My work spans from model development to Kubernetes-based deployment, focusing on systems that are fast, reliable, and measurable.

Beyond engineering, I believe in building tools that make people more capable. Whether it's a chatbot that answers identity governance policies or an AR device that helps hearing-impaired individuals follow conversations in real time, I focus on practical impact with concrete metrics.

Currently

  • Building AI infrastructure at Oracle for computer vision and real-time inference
  • Studying AI at UT Austin with focus on applied ML and RL
  • Shipping production ML: RAG systems, OCR pipelines, containerized deployment

Skills

Machine Learning

PyTorch TensorFlow Scikit-learn RAG ASR

Infrastructure

Kubernetes Docker OCI Containers

Languages

Python TypeScript Java SQL

Cloud & Tools

Oracle Cloud AWS Git MLflow

Experience

Certifications

Let's Work Together

Interested in discussing ML engineering, production AI systems, or collaboration opportunities?