Summary
Saksham Gulati is a Senior Data Scientist with six years of experience building end-to-end ML systems and MLOps pipelines across startups and large enterprises, currently advancing telematics and analytics at Geotab. With an MMgt Analytics from the University of Toronto, he blends production-grade Python/PySpark engineering with cloud-native deployment on Azure and GCP, and practical MLOps tooling like Metaflow and feature stores to accelerate inference across teams. He has led NLP initiatives—publishing BERTopic models on Hugging Face and integrating GPT for improved issue explanations that drove 60% positive user feedback—while also contributing low-level robustness via Rust and Bash for statistical testing. At Rogers he established drift monitoring and feature store capabilities that materially sped up cross-team inferencing, demonstrating a knack for bridging research, product, and platform. Outside work he mentors data science learners and communicates complex concepts in plain language, reflecting a strong commitment to knowledge sharing and practical impact.
6 years of coding experience
5 years of employment as a software developer
Masters of Management Analytics Analytics, Masters of Management Analytics Analytics at University of Toronto
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Delhi College of Engineering
Delhi Public School Indirapuram
English, German, Hindi