Teams at Egen

Lead design, development, and productionalization of ML/GenAI applications including model evaluation, fine-tuning, prompt engineering, RAG pipelines, and scalable ML pipelines on cloud platforms. Mentor teams, collaborate on data preprocessing and feature engineering, and deliver reliable production ML systems involving vector search, inference serving, and monitoring.

Lead hands-on cloud implementation and technical ownership for Google Cloud environments: design, deploy, and operate secure, scalable infrastructure; implement hybrid connectivity, security guardrails, observability, and automation; lead delivery and mentor engineering teams.

Lead architecture and hands-on implementation of production-grade Generative AI and agentic systems. Build and deploy LLM-based solutions (RAG, embeddings, agents) on cloud (primarily GCP/Vertex AI), ensure reliability, latency, cost, observability, and governance, and advise clients while mentoring engineering teams.