Teams at Egen

Lead backend architecture and implementation using Python (FastAPI/Flask) on Google Cloud. Define technical roadmap, enforce security and coding standards, mentor engineers, improve CI/CD and DevOps, and act as primary technical liaison to stakeholders while delivering scalable, high-performance backend systems.

Design, optimize, and operate production LLM inference and training pipelines. Improve latency, throughput, and GPU utilization using techniques like batching, quantization, FlashAttention, and kernel-level profiling. Deploy and autoscale multiple models on shared GKE GPU clusters, consult with clients on performance and cost requirements, and carry prototypes to robust, scalable production services.

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.