Senior Python engineer with 10+ years building and running production-grade distributed systems, now focused on backend engineering and putting LLMs into real products.
I decompose monoliths into microservices, design event-driven data pipelines, and integrate LLMs into cloud infrastructure. At SecurityScorecard I built and shipped a LangChain + HuggingFace chatbot to AWS production in 6 weeks, letting users ask natural-language questions over security data for 12M+ companies. At OneTrust I run Kubernetes-deployed Django REST services and cut release time by 60%.
What I do:
- Backend: Python, Django / DRF, FastAPI, Flask, Celery, gRPC, PostgreSQL, Redis, Kafka
- LLM / AI: LangChain, LlamaIndex, HuggingFace, OpenAI APIs, Ollama, RAG pipelines, PyTorch, TensorFlow
- Cloud & infra: AWS (Lambda, ECS, RDS, S3), Kubernetes, Helm, Terraform, Docker, GitHub Actions
- Data & streaming: Kafka, RabbitMQ, PySpark, Snowflake
Track record: 99.9% uptime, 30% cloud cost savings, release cycles cut by 60%. I care about clean architecture, strong test coverage, and security (former certified pentester).
Open source: avai (AI security monitoring), briar (AI engineering assistant), lightapi (REST API toolkit), all published on PyPI.
Open to remote roles with US timezone overlap.