Praneet Nigam is a Lead Machine Learning Engineer with nine years of experience building and deploying production-grade ML systems, currently leading agentic fraud solutions at Tide. He has a strong track record in MLOps—designing CI/CD pipelines, monitoring for data drift, and operationalizing risk and recommendation models that drive revenue and retention. Praneet pairs deep technical skills (Python, SQL, DBT, Airflow, Docker, NVIDIA Jetson) with product-focused experimentation, having designed A/B tests and hybrid recommendation systems that measurably increased subscription and card interchange revenue. He also teaches SQL and mentors aspiring data scientists through his OpenAcademy initiative and app, showing a commitment to community building beyond his day job. Unusually for a production ML lead, he has hands-on experience deploying video intelligence on edge devices and building microservice architectures, bridging research prototypes and scalable services. Located in Gurugram, he’s completing a postgraduate degree in Data Science focused on health and climate, signaling a growing interest in socially impactful ML applications.
9 years of coding experience
4 years of employment as a software developer
Postgraduate Degree in Data Science Health and Climate, Postgraduate Degree in Data Science Health and Climate at Indraprastha Institute of Information Technology, Delhi
B.Tech ECE, B.Tech ECE at Inderprastha Engineering College
intermediate Science, intermediate Science at heliger borden education centre
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Praneet Nigam - Lead Machine Learning Engineer at Tide