Summary
Sehaj Grover is a Senior Software Engineer with a decade of experience building full-stack web applications and scalable systems, currently advancing his MS in Computer Science at the University at Buffalo. He has delivered production features at Google and led product-facing engineering at Attend, blending front-end React/Redux and back-end Node/Django expertise with pragmatic DevOps practices like Docker and CI. In the e-learning and live-events domains he has reduced manual effort through automation—designing an interview scheduler that cut effort by 70% and templated configs that slashed implementation time from a week to a day. Sehaj pairs strong ML tooling familiarity (TensorFlow, PyTorch, scikit-learn) with practical data engineering and database experience (MySQL, MongoDB, Redis), enabling end-to-end feature delivery. Based in San Jose, he balances fast iteration and reliability, and often turns routine workflows into automated, multi-tenant solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer science, Bachelor’s Degree, Computer science at GURU NANAK DEV ENGINEERING COLLEGE
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at University at Buffalo