Atharva Joshi is a data scientist and software engineer with 8 years of experience blending deep learning research and production engineering to build scalable, data-driven systems. He has applied ML to healthcare forecasting at Abiomed, developed distributed streaming features at Dell EMC’s Pravega project, and delivered quant research models for finance and energy during internships. Comfortable across the stack, he pairs neural networks, time-series forecasting, and NLP with Java microservices, Docker/Kubernetes, and CI/CD to move models from prototype to production. Based in the San Francisco Bay Area, he teaches and mentors while driving research-informed product work and recently transitioned into applied roles at Invesco and Walter P Moore. Notably, his background spans both embedded ECE foundations and large-scale distributed systems, enabling pragmatic solutions that bridge hardware-aware ML and cloud-native deployments.
8 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Electrical & Computer Engineering (Concentration - Hardware and Software for Machine Intelligence), Master of Science - MS, Electrical & Computer Engineering (Concentration - Hardware and Software for Machine Intelligence) at Northeastern University
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