About me

🛜 With 15+ years of international engineering experience, I have spent the last 2+ years building production-grade ML/AI systems as the founder of Martin Data Solutions. 🧑‍🏫 Delivered 40+ end-to-end ML/AI projects, accelerating innovation through model optimization, feature engineering, cloud deployments, low-latency LLM pipelines, and vector search engines. 🗞️ Authored 30+ technical articles on MLOps, vector databases, and LLMs, generating 100K+ views and recognition across the AI engineering community. 📊 Designed and deployed 20+ scalable systems using containerization, infrastructure-as-code (IaC), and event-driven architectures on AWS and GCP. 🖥️ Built 10+ interactive, production-grade web applications with Streamlit and Gradio, achieving sub-second latency, secure authentication, and automated CI/CD. 🧑‍🎓 Taught and mentored 200+ students in data science and analytics, earning high satisfaction scores and successful student projects 📡 Created industry-grade curriculum on retrieval augmented generation (RAG), adopted by 1K+ learners. 🚀 AWS Certified Machine Learning Engineer – Associate (2024), AWS Certified Artificial Intelligence Practitioner (2024). 🏗️ AWS Community Builder, Qdrant Star, and Docker Captain, contributing thought leadership in resilient designs, vector databases, and containerized deployments. 🧑‍💻 Strong focus on modern software engineering and DevOps best practices, including continuous integration and delivery (CI/CD), code quality, testing, experiment tracking, model monitoring, and robust error handling, to ensure reliable, maintainable, and scalable systems. Let's connect to help you achieve your goals!