Building intelligent systems at the intersection of:
Applied ML · Generative AI · System Design · Responsible AI
- LLM applications, agents, and retrieval-augmented generation
- System design, distributed systems, and cloud-native architectures
- Responsible AI, guardrails, evaluation, and trustworthy deployment
- Observability and feedback-driven AI improvement loops
Currently exploring how to bridge the gap between AI research and production systems.
Python Java JavaScript C++ SQL
PyTorch TensorFlow Transformers
LangChain CrewAI OpenAI SDK
RAG Vector Search LLM Applications
AWS Docker Linux
Apache Kafka Terraform
PostgreSQL MongoDB Redis S3
FastAPI Swagger
REST APIs CI/CD Git
AI Guardrails Responsible AI
LLM Evaluation Observability
Monitoring Telemetry
