Summary
Deepak George is an AI leader and hands-on architect with over a decade of experience industrializing ML and GenAI products across insurance, industrial IoT, retail and e-commerce. He currently leads GenAI strategy and delivery as a Chapter Lead & AI Architect at ING and has a track record of shipping production LLMs, agentic systems, RAG chatbots and ML microservices that drove measurable business impact (e.g., churn reduction, anomaly detection savings, automated underwriting workflows). Deepak combines deep ML research knowledge (NLP, CV, deep learning, probabilistic models) with pragmatic MLOps and engineering skills—FastAPI/Flask, Docker/Helm, MLFlow/DVC, vector DBs and Azure AI Foundry—to bridge prototypes into resilient, monitored services. He has repeatedly reduced operational costs and cycle times by industrializing models into APIs and pipelines, and taught machine learning as a guest lecturer at IIM Bangalore. Notably, he blends classical statistical approaches (causal uplift, GLMs) with modern LLM techniques like LangChain, quantization and pruning to optimize for cost and latency in production. Based in Amsterdam, he pairs product-minded leadership with day-to-day technical contribution, from model training to deployment and monitoring.
11 years of coding experience
9 years of employment as a software developer
Actuarial Data Scientist Program Statistics Machine Learning & MLOps, Actuarial Data Scientist Program Statistics Machine Learning & MLOps at Institute and Faculty of Actuaries
Bachelor of Technology - Computer Science Engineering, Bachelor of Technology - Computer Science Engineering at College of Engineering Trivandrum
PG - Business Analytics & Intelligence (Machine learning Data Science Big Data Statistical modeling), PG - Business Analytics & Intelligence (Machine learning Data Science Big Data Statistical modeling) at Indian Institute of Management Bangalore
English, Dutch