Biography
Hardik Sharma is the Director of Hardware Engineering at Bigstream (https://bigstream.co) where he is responsible for analyzing big data/machine learning/deep learning workloads, finding opportunities and architecting solutions for hardware acceleration, and designing the hardware-software interfaces to enable seamless integration with Bigstream’s Hyper Acceleration technology.
Hardik received his PhD from the department of Electrical and Computer Engineering at Georgia Tech in 2019, supervised by Prof. Hadi Esmaeilzadeh. His research interests are domain specific hardware architectures for accelerating machine learning, with a focus on deep learning. He led the development of the first open-source FPGA-based hardware acceleration stack for DNNs at Georgia Tech (http://dnnweaver.org). His research has been published in several top-tier conferences and journals. His work was recognized by the prestigious Qualcomm Innovation Fellowship (QInF, 2018).
Prior to joining Georgia Tech, Hardik worked in Qualcomm India as an FPGA Engineer upon finishing his undergrad education at the Indian Institute of Technology (IIT) in Guwahati, India in 2013.
Interests
- Deep Learning
- Computer Architecture
- Domain-specific Hardware Architectures
Education
PhD in Electrical and Computer Engineering, 2019
Georgia Institute of Technology
MS in Electrical and Computer Engineering, 2015
Georgia Institute of Technology
B.Tech in ECE, 2013
Indian Institute of Technology, Guwahati