Mission
Build reliable, observable AI & full-stack platforms—from ingest and continual training to container/K8s deployment and user dashboards—optimized for repeatable delivery and business-aligned outcomes.
Real-Time Computer Vision • Reproducible ML Pipelines • Cloud-Native Platforms
Seeking Fall 2025 AI / MLOps / Full-Stack Internship (Co-op)
Trustworthy AI, reproducible pipelines, and practical impact.
Build reliable, observable AI & full-stack platforms—from ingest and continual training to container/K8s deployment and user dashboards—optimized for repeatable delivery and business-aligned outcomes.
AI · MLOps · Infra · Full-Stack tools I use to deliver production value.
Python, TypeScript, PyTorch, YOLOv8, FastAPI, React, Node.js, GraphQL (Apollo, DataLoader), DVC, MLflow, BentoML, Docker, Kubernetes, GitHub Actions, PostgreSQL, MongoDB, AWS S3, Pytest, Jest, Ruff, ESLint, profiling, code review automation.
Real-time anomaly detection (YOLO + Autoencoder fallback) with reproducible pipeline.
Sustainability analytics & community engagement platform for tracking eco-impact and fostering local environmental initiatives.
Hiring for AI, MLOps, or full-stack? I ship reliable systems—let’s talk outcomes, not buzzwords.
* Full resume supplied on request to protect distribution.