Summary
Harshitha Katpally is a senior machine learning engineer with eight years of industry experience and over three years focused specifically on advanced ML roles, currently driving ML initiatives at PayPal. She combines deep expertise across NLP, computer vision, time series, and geospatial modeling with hands-on MLOps—using MLflow, Kedro, and FastAPI—to deliver production-ready systems. Her work has directly impacted revenue, including an $18M freight product and a 15% revenue lift from dynamic pricing models, and she has led teams as both technical lead and product owner. She has a strong track record of turning telematics and spatial data into actionable products, such as a 95% accurate destination predictor and a content-based recommender with a 0.66 hit rate. A continuous learner with a software engineering MS from Arizona State, she pairs rigorous engineering discipline with a persistent, problem-solving mindset that favors measurable business outcomes. Colleagues describe her as both technically versatile and effective at translating stakeholder needs into deployable ML solutions.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Software Engineering, 3.7, Master of Science - MS, Computer Software Engineering, 3.7 at Arizona State University
Bachelor of Engineering - BE, Computer Science, 3.5, Bachelor of Engineering - BE, Computer Science, 3.5 at Chaitanya Bharathi Institute Of Technology