Summary
Sagar Thacker is an Applied Machine Learning Engineer with nine years of experience building and productionizing ML systems across enterprise and research settings. He blends deep hands-on expertise in Python, TensorFlow/PyTorch, and MLOps with cloud-native deployments on AWS, GCP, and Azure to deliver measurable business outcomesโsuch as a 20% reduction in customer complaints and an 85% improvement in entity extraction. Sagar has designed RAG chatbots, optimized prompt engineering to boost response relevance by 65%, and implemented CI/CD-backed model pipelines monitored with tools like Evidently and Grafana. Comfortable across the ML lifecycle, he pairs data engineering skills (Spark, Kafka, DBT) with orchestration and containerization (Kubernetes, Docker, KubeFlow) to scale solutions. Based in New York, he also contributes to the community through mentoring and technical writing, bringing a research-informed and solutions-oriented approach to applied AI.
9 years of coding experience
4 years of employment as a software developer
Post Graduate Diploma in Machine Learning and Artificial Intelligence (PGDML) Artificial Intelligence, Post Graduate Diploma in Machine Learning and Artificial Intelligence (PGDML) Artificial Intelligence at International Institute of Information Technology Bangalore
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University at Buffalo
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Ramrao Adik Institute of Technology
English, Hindi, Marathi, Gujarati