Akash Boghani is a seasoned engineer with nine years of experience focused on computer architecture, embedded and systems design, and machine learning-enabled computing, currently contributing at Qualcomm in California. He holds a B.Tech from BITS Pilani and an MS from UC San Diego, blending strong academic foundations with practical R&D across internships at Toshiba, 3M, and electronics firms. At Qualcomm he progressed from associate roles and internships to a full engineering position, working on optimized parallel-processing and ubiquitous ML workloads. Known for pursuing efficiency and hardware-aware software design, he bridges low-level systems thinking with applied ML techniques to squeeze performance out of constrained platforms.
9 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
This repository consists of code that is used to convert text-embeddings into Images using Generative Adversarial Networks(GAN)
Contributions:2 PRs, 4 pushes, 1 branch in 2 years 9 months
pytorchdeep-learningadversarialconsistsembeddings
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