I build scalable backend systems, full-stack applications, and AI-powered solutions using modern tooling across GenAI, LLM orchestration, machine learning pipelines, and distributed backend systems.

My work spans:

• ⚙️ Engineering production-grade backends — Java/Spring Boot, Node.js, Express, service design, versioning, API architecture
• 🤖 Applied GenAI & ML — RAG pipelines, embeddings, vector search, MMR re-ranking, YOLO training & inference
• ☁️ Cloud & DevOps — AWS, Docker, Kubernetes, Helm, Prometheus Operator, logs & observability
• 📊 Data workflows — metrics dashboards, distributed log parsing, Grafana pipelines
• 🧠 System design — scalability, clean architecture, maintainability, performance-driven design

My focus:
High-quality engineering, scalability, clarity in architecture, and solving real product problems with AI + software.

• Backend-first engineering — correctness, reliability, scalability
• AI systems engineering — embeddings, vector search, retrieval evaluation
• Full SDLC ownership — design → implementation → deployment → monitoring
• Deep debugging skills — distributed logs, containers, networks, infra issues
• Product-oriented execution — build fast, maintain quality, ensure impact

I love designing clean systems, understanding why software works the way it does, and applying AI to real engineering challenges.