Summary
Snehal Ilawe is an accomplished ML and Platform engineer with 11 years of engineering experience, including 4 years focused on end-to-end machine learning systems and over 4 years in software development. She has designed and deployed production-grade MLOps on GCP—moving orchestration from Airflow to event-driven Workflows, shifting inference to Cloud Run, and leveraging Spot VMs to cut costs while preserving reliability. Her work on evolutionary modeling and automated retraining systems demonstrates a knack for building self-improving models that boost robustness and revenue forecasting in ad and pricing applications. Comfortable across the ML lifecycle, she combines data engineering, feature work, containerized training/serving, and monitoring to deliver scalable, maintainable pipelines. Based in Dublin, CA and currently at Wayve, she pairs disciplined, well-documented coding practices with cross-team collaboration and a continuous-learning mindset. An understated strength is her track record of translating legacy telecom and analytics experience into pragmatic, cost-optimized ML infrastructure.
11 years of coding experience
6 years of employment as a software developer
Master's degree Big Data Analytics, Master's degree Big Data Analytics at San Diego State University
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Louisiana at Lafayette
Bachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Maharashtra Institute of Technology
English, Hindi, Marathi