2.5 years building production agentic systems - LangGraph, RAG, AWS Bedrock.
MSCS @ Texas A&M (2026) - Seeking AI Engineer roles at YC / SF startups.
PagerDuty alert in. Root cause + fix out. No human in the loop.
- 50% MTTR reduction on production incidents
- 30% retrieval precision gain -> hybrid BM25 + KNN + RRF + Amazon Rerank v1
- 15% API latency drop -> async FastAPI under concurrent prod load
- Prompt injection mitigated via Bedrock Guardrails + contextual grounding
LangGraph AWS Bedrock OpenSearch Titan Embed v2 FastAPI Docker
- Flask orchestrator + Docker worker pool -> 70% DB contention reduction, 3x async throughput
- Docker SDK auto-scaling -> 99%+ uptime, sub-100ms latency under peak load
Python Docker RabbitMQ Flask
- Full auth lifecycle (8+ flows) -> refresh token rotation eliminating replay attacks
- Multi-tenant access control via Spring Security -> zero cross-tenant data leakage
Java Spring Boot PostgreSQL
| AI/ML | Backend | Cloud |
|---|---|---|
| LangGraph, RAG, AWS Bedrock | Python, FastAPI, Java | EC2, S3, Docker, GitHub Actions |
| OpenSearch (KNN, BM25) | PostgreSQL, MongoDB, DynamoDB | CloudWatch, CI/CD |
AWS Certified Developer - Associate (2025)