About
AI engineer with strong product, platform, and systems depth.
My work is built around production GenAI delivery, agentic RAG systems, full-stack engineering, and practical product execution.
Education
San Jose State University
Master of Science in Software Engineering, Aug 2022 to May 2024, San Jose, California.
Specialty
Agentic AI and RAG systems
Hands-on delivery across LangGraph, LangChain, MCP, FAISS, Pinecone, OpenSearch, vector search, prompt engineering, and fine-tuning.
Strength
Production-ready AI engineering
Strong focus on deployment, observability, evaluation, audit logging, and AI systems that hold up beyond a demo environment.
Skills
Languages
- Python
- Java
- TypeScript
- JavaScript
- C/C++
Skills
AI and GenAI
- RAG
- LangGraph
- LangChain
- Multi-Agent Systems
- MCP
- Prompt Engineering
- PEFT and QLoRA
- Hugging Face Transformers
- PyTorch
- TensorFlow
- Scikit-learn
- NLP
Skills
LLMs and Vector Search
- FAISS
- Pinecone
- OpenSearch
- Qdrant
- BM25
- Voyage AI
- OpenAI APIs
- Google Gemini
Skills
Web and Backend
- FastAPI
- Node.js
- Express.js
- React.js
- Angular
- REST APIs
- GraphQL
- Pydantic
- Spring Boot
Skills
Cloud and DevOps
- AWS EC2
- S3
- Lambda
- ECS
- RDS
- API Gateway
- MSK
- CloudWatch
- Bedrock
- Azure OpenAI
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Jenkins
Skills
Observability and Tooling
- OpenTelemetry
- Grafana
- MLflow
- Weights and Biases
- LangSmith
- Cursor
- Claude
- VSCode
- Postman
- Jupyter
- Git
- JIRA