Summary
Ketan Ramaneti is an applied scientist with seven years of experience blending academic rigor and industry impact across AI/ML, signal processing, and data science. Currently at Amazon in Bellevue after research roles at CMU and NTU, he focuses on turning mathematically grounded algorithms into production-ready systems. His background spans graduate research, teaching, and applied ML engineering, with hands-on work in large-scale signal processing and IoT from both academic and startup settings. Ketan’s approach emphasizes provable algorithms and statistical rigor—he treats implementations as executions of formal designs rather than ad hoc code. Known for mentoring peers and leading small teams, he pairs curiosity-driven research with pragmatic deployment experience. Outside work he habitually maps everyday problems to mathematical frameworks, a habit that drives both creative insight and practical solutions.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree Electronics and Communication Engineering with Specialization in IoT, Bachelor's degree Electronics and Communication Engineering with Specialization in IoT at Vellore Institute of Technology
Master of Science - MS Electrical and Computer Engineering Applied Advanced Track - AI/ML Systems Concentration, Master of Science - MS Electrical and Computer Engineering Applied Advanced Track - AI/ML Systems Concentration at Carnegie Mellon University
Visiting Research Student Machine Learning || Large-Scale Singal Processing || Data Science || Seismology., Visiting Research Student Machine Learning || Large-Scale Singal Processing || Data Science || Seismology. at Nanyang Technological University Singapore