ML/AI Engineer with 5+ years building production intelligent systems — from recommendation engines and computer vision pipelines to RAG systems and LLM-powered applications.

I like getting into a problem space fast, figuring out the simplest architecture that actually works, and shipping it. End-to-end: model development, backend, frontend, cloud infra, MLOps, CI/CD.

• AI/ML: PyTorch, TensorFlow, scikit-learn, DSPy, LLM/RAG architectures, computer vision, NLP, recommendation systems
• Backend: Python (FastAPI, SQLAlchemy), Rust (axum), Node.js
• Frontend: Vue 3 + TypeScript, Astro
• Data: PostgreSQL, MongoDB, Redis, Elasticsearch, pgvector
• Cloud: GCP (Cloud Run, Vertex AI, Pub/Sub), AWS (SageMaker, EKS, Redshift)
• MLOps: Docker, Terraform, GitHub Actions, OpenTelemetry, Optuna, TensorBoard

E-commerce, fintech, food tech, manufacturing, remote sensing, edtech, sports analytics, credit scoring

• 👯 Always happy to collaborate on ML engineering, MLOps, and AI product development
• 🌱 Currently deep into Rust for high-throughput AI backends and LLM evaluation frameworks
• ⚡ Fun fact: I worked as a Hotel Manager