Building scalable backend architectures, orchestration layers for Agentic AI, and cloud-native infrastructure.
- AI Engineering: Architecting RAG pipelines, multi-agent workflows, Model Context Protocol (MCP) integrations, and complex LLM orchestration.
- Cloud Native & K8s: Active contributor to the Kubernetes ecosystem (Spiderpool-io), specializing in RBAC and Dynamic Resource Allocation (DRA).
- Systems Programming: Developing low-latency, high-throughput components in C for matching engines and high-frequency trading simulations.
- Distributed Architectures: Designing high-concurrency, event-driven backends using Kafka, Redis, Python, and PostgreSQL.
- Healthcare Interoperability: Delivering production-grade data pipelines utilizing openEHR and HL7 FHIR compliance frameworks.
| Category | Toolkit |
|---|---|
| Languages | Python, JavaScript (Node.js), C, SQL (PostgreSQL, MySQL) |
| Backend & Messaging | FastAPI, Django, Express.js, Apache Kafka, Redis |
| AI / Intelligent Systems | Agentic AI (LangChain, LangGraph), RAG, MCP, Vector Databases, OpenAI / Gemini APIs |
| Cloud & Infrastructure | AWS (EC2, RDS, S3, CloudFront), Docker, Kubernetes, Nginx |
| Frontend & UI | React.js, Next.js, Tailwind CSS, TanStack Query, Zustand |
| CI/CD & DevOps | GitHub Actions, Sentry, Linux Systems Administration |
| Project | Status | Contribution |
|---|---|---|
| kubernetes/Spiderpool-io | 🎉 Merged | Implemented RBAC enhancements for resource claims under DRA (v1.36) |
| OpenClimateFix | 🎉 Merged | Integrated comprehensive Sentry logging and application monitoring |
| 52North | 🛑 Closed | Kubernetes-based geospatial integration improvements (Upstream issue cancelled) |
| cryptotoolbox | ⏳ In Review | Performance optimizations for memory alignment in a C-based matching engine |
"Simplicity is the soul of efficiency." — Austin Freeman