I build production GenAI systems for fintech — LLM gateways, RAG pipelines, and multi-agent
orchestration — with the backend rigor these workloads demand: idempotency, ACID, audit logging,
and CI that gates (-race, govulncheck). 5+ years in data engineering, ML, and cloud; 2+
shipping production LLM systems. Doctoral researcher in Applied AI. AWS ML Specialty certified.
ledger-service Go |
Double-entry ledger microservice — idempotent transfers, reversals, deadlock-free row locking, append-only postings. 31 tests, -race, govulncheck clean. |
llm-gateway FastAPI |
One OpenAI-compatible endpoint over Anthropic / OpenAI / Ollama — semantic cache, rate limiting, A/B routing, cost tracking, audit logging. 300+ tests, 99% coverage. |
fintech-devsecops-pipeline Terraform |
DevSecOps reference platform — hardened Terraform + private EKS, OPA/Rego admission policies, multi-scanner CI gate, ArgoCD GitOps, DR runbook. |
nvidia-nim-rag-techniques LangGraph |
5 production RAG optimizations on NVIDIA NIM — hybrid search/RRF, reranking, query rewriting, context compression, corrective RAG. |
llm-safety-auditor FastAPI · demo |
LLM red-teaming — 250+ adversarial payloads, OWASP LLM Top-10 scoring, report generation. |
on-device-llm-optimizer MLX |
Knowledge distillation — Phi-3 Mini 3.8B → 236M student, INT4 quantization, CoreML export. |
Backend Go · Python · FastAPI · PostgreSQL · Redis • LLM / Agents LangGraph · RAG · MCP · OWASP LLM Top 10 · LLMOps
Infra Docker · Kubernetes · Terraform · ArgoCD · GitHub Actions · AWS • ML / Data PyTorch · MLflow · Kafka · dbt
16 public repos · Portfolio · LinkedIn · Hugging Face