Summary
Niketan Pansare is a senior research scientist and engineering leader with 11+ years building scalable data processing and ML systems, currently a Senior Principal Scientist in Apple’s AIML/Media Products organization. He specializes in statistical models and distributed systems for large-scale, heterogeneous data, with a focus on automatic optimization of ML algorithms to match data and cluster characteristics. Before Apple he drove production-grade analytics and hardware-accelerated runtimes at IBM Research Almaden, contributing to Apache SystemML’s Spark and GPU stacks and deep-learning integrations. His PhD from Rice University produced work on large-scale online aggregation via distributed systems, informing his blend of theoretical rigor and production engineering. Based in California, he brings a rare combination of systems-level performance engineering and applied ML research that improves both algorithmic accuracy and cluster efficiency.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Rice University
PG Diploma Embedded Systems, PG Diploma Embedded Systems at Electronics Corporation of India (ECIL)
BE Information Technology, BE Information Technology at University of Mumbai
M.S. Computer Engineering, M.S. Computer Engineering at University of Florida