Summary
Japkeerat Singh is a Full Stack Data Scientist with 8 years of experience and 5+ years focused on building data-centric applications and production ML systems. He blends hands-on ML research (Masters in ML/AI) with practical MLOps—designing AI ecosystems on Python, Snowflake, AWS SageMaker, Airflow and MLflow that reduced model deployment time to 20% and supported multiple production services with drift monitoring. His work spans graph neural networks for code-vulnerability detection, custom data augmentation, and a time-optimized encoder-decoder architecture from his thesis that cut prediction latency by 25% versus SOTA. A pragmatic freelancer-turned-lead engineer, he’s launched open-source tooling (TezzAutoML) and a sales bot (TezzChat), and publishes a weekly newsletter on applied ML. Based in Toronto, he combines startup agility with enterprise delivery, consistently turning research innovations into revenue-generating AI products.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Electronics and Computer Engineering, 7.71/10, Bachelor of Engineering (BE), Electronics and Computer Engineering, 7.71/10 at Thapar Institute of Engineering and Technology
Master of Science - MS, Machine Learning and Artificial Intelligence, 3.39/4, Master of Science - MS, Machine Learning and Artificial Intelligence, 3.39/4 at Liverpool John Moores University
English, Hindi, Punjabi, French