Summary
Abhishek Malali is a Senior Applied Scientist based in Seattle with 11 years of experience building production ML and speech recognition systems at Amazon, currently leading applied research and engineering for ASR and entity resolution in entertainment use cases. He blends deep academic rigor from an MS at Harvard—where he advanced LSTM variants for irregular time series and released the TimeFlow package—with hands-on product impact around personalization, data generation automation, and query rewrite heuristics. At Amazon he has scaled teams and mentored scientists while owning modeling design, evaluation tooling, and pragmatic offline approaches that improve real-world voice experiences. Earlier roles span NLP, visualization, and applied time-series work across startups and research labs, reflecting a knack for translating cutting-edge models into robust, scalable pipelines. Notably, his background includes funded research collaborations applying irregular time-series models to astronomy and practical contributions to speech recognition at Alexa.
11 years of coding experience
7 years of employment as a software developer
AISSCE(CBSE), Science, 94.4, AISSCE(CBSE), Science, 94.4 at Kendriya Vidyalaya No. 1, Jalhalli(West), Bangalore
Master of Science (M.S.), Computational Science and Engineering, 3.8, Master of Science (M.S.), Computational Science and Engineering, 3.8 at Harvard University
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, CGPA - 9.50, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, CGPA - 9.50 at National Institute of Technology Karnataka
English, Kannada, Hindi