MS CS @ Arizona State University · Full Stack Engineer → ML Systems & AI Infrastructure
- 📖 Learning: PyTorch → Karpathy Zero to Hero → GPU MODE → Triton kernel writing
- 🤝 Open to: Full Stack, ML Systems, AI Infrastructure roles/internships
Languages: C++, Python, JavaScript/TypeScript, Kotlin, SQL
Frontend: React, Next.js, Tailwind
Backend: Node.js, Express, Flask, Go
Infra & Cloud: AWS (EC2, S3, SQS, Bedrock, DynamoDB), Docker, Kubernetes, PostgreSQL, Redis, Kafka
ML/Data: PyTorch, scikit-learn, TensorFlow, pandas, OpenCV
| Project | Stack | Highlight |
|---|---|---|
| Distributed Face Recognition | AWS EC2/SQS/S3/DynamoDB | Custom autoscaler, distributed pipeline |
| K8s Anomaly Detection | LSTM + LightGBM, Kubernetes | 95% accuracy on cluster anomaly detection |
| Agentic Voice RAG | AWS Bedrock / Nova Sonic, RAGAS | End-to-end RAG with evaluation framework |
- 📖 Learning GPU MODE, Triton, LLM inference internals
- 🤝 Open to: Full Stack, ML Systems, AI Infrastructure roles/internships


