About
I build scalable enterprise systems, AI-powered products, and cloud-native platforms across frontend, backend, infrastructure, and developer experience. My work spans Angular and Next.js interfaces, Go and Python services, LangGraph RAG systems, Kubernetes deployments, and blockchain-backed product experiments. I care about clean architecture, fast delivery, measurable performance wins, and practical systems that help teams ship with confidence.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Production-ready AI chatbot platform with RAG for automotive knowledge. Features LangGraph orchestration, hybrid search with pgvector and BM25, cross-encoder reranking, semantic caching, and support for 100+ AI models via a unified LLM interface.
Continuous learning
A few recent certifications and badges that reflect my focus on AI agents, cloud-native systems, and production-grade engineering practice.
Foundation: Introduction to Agent Observability & Evaluations
LangChain Academy
Certificate covering observability and evaluation workflows for agentic systems.
Foundation: Introduction to LangGraph - Python
LangChain Academy
Certificate focused on building graph-based Python agent workflows with LangGraph.
Foundation: Introduction to LangChain - Python
LangChain Academy
Certificate covering LangChain fundamentals for Python application development.
AWS Artificial Intelligence Practitioner Learning Plan
AWS Training & Certification
AWS AI learning plan focused on artificial intelligence foundations and cloud AI services.

KCNA: Kubernetes and Cloud Native Associate
The Linux Foundation
Credly badge validating Kubernetes and cloud-native fundamentals.

AWS Certified Cloud Practitioner
Amazon Web Services Training and Certification
Credly badge validating AWS Cloud Practitioner knowledge.
Get in Touch
Have a project, consulting opportunity, or engineering challenge in mind? Email me and I'll reply as soon as I can.
Email me[email protected]

