Pratyush Sharma is a software engineer with 11 years of experience focused on building large-scale data and ML platforms, currently at Stripe after key platform work at Swiggy. He scaled Swiggy’s ML platform to handle peak 1M QPS, 11k daily Spark jobs and 2 billion feature rows, supporting 30+ models and 200+ versions using Scala, Akka, SparkML, MLEAP and TensorFlow. He has hands-on experience productionizing forecasting tooling for non-technical analysts using PySpark, fbprophet and Superset, pairing systems engineering with product-minded UX. Earlier roles include co-founding an influencer analytics startup and internships building logistics simulators and research systems, showing a blend of entrepreneurship and research rigor. Based in Seattle, he brings a strong academic foundation from Cornell Tech and NSIT and a knack for turning complex distributed workloads into dependable platform services. A detail that often surprises collaborators: he moves fluidly between low-level scalable system design and user-facing ML democratization.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Netaji Subhas Institute of Technology
Dual Degree In Connective Media, Computer and Information Sciences, General, Dual Degree In Connective Media, Computer and Information Sciences, General at Cornell University
Dual Degree in Connective Media, Computer and Information Sciences, General, 4.00, Dual Degree in Connective Media, Computer and Information Sciences, General, 4.00 at Cornell Tech
Summer School, Computer Science, Summer School, Computer Science at Stanford University
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