I'm a software engineer at heart — someone who has spent a decade architecting and building production systems across cloud infrastructure, IoT, and full-stack engineering. For the last three years, that builder instinct found its sharpest expression in AI: I transitioned into the role of Sr. AI Engineer, and it's where I've done some of the most technically demanding and rewarding work of my career.

Today I own end-to-end AI architecture — designing and shipping complex AI applications, agentic systems, and LLM-powered products that go beyond demos and hold up in production.

I'm one of those engineers who can't stop building. My curiosity doesn't clock out — whether it's dissecting a new agentic framework at midnight, tuning GRUB configs on a dual-boot homelab, or architecting RAG pipelines that survive contact with real data.

Right now I'm deep in:

• Agentic AI systems — LangGraph, multi-agent orchestration, tool-use patterns, memory architectures
• GenAI developer tooling — actively tracking the 2025 landscape: mem0, Mastra and the broader agentic framework ecosystem

LLMs / GenAI     -> LangChain, LangGraph, Azure OpenAI, RAG pipelines, fine-tuning (Unsloth, MLX-LM)
Cloud & Infra    -> Azure, AWS, Kubernetes, Helm, Traefik, k3s, Hetzner
Observability    -> VictoriaLogs, Fluent Bit, Kafka (KRaft), distributed tracing
IoT              -> Embedded systems, sensor integration, edge-to-cloud pipelines, MQTT, edge inference
MLOps            -> Model lifecycle, deployment pipelines, evaluation frameworks
Languages        -> Python, TypeScript/Node.js, Bash

• Testhive — an AI-native assessment platform with multi-source test generation, adaptive delivery, and LLM-based evaluation
• Cloud Storage Aggregator — natural language query interface over multi-cloud storage with dynamic rclone orchestration
• Kubernetes observability stack — Kafka (KRaft) + VictoriaLogs + Fluent Bit on a self-hosted cluster
• Recommendation engine pipeline — SVD/ALS to Two-Tower architecture on MovieLens, from scratch

Currently pursuing an MSc in Machine Learning — because I'd rather understand the math than just import the library. Certifications: AZ-204 · AI-102 · Google PM

• Photography — I see light the way I see architecture: in layers
• Travelling — chasing new landscapes with a camera in hand and no fixed itinerary
• Linux tinkering — Zorin OS, rEFInd, Nvidia driver archaeology, and the eternal dual-boot struggle
• Homelab — because the cloud is just someone else's computer, and I want my own

If you're building something ambitious in the AI/LLM/infra space — or want to geek out over agentic systems, IoT pipelines, or why your GRUB config is broken — find me on LinkedIn.

"The best engineers aren't those who know the most tools — they're the ones who can't stop asking why the tool works at all."