Suyash Bakshi
Research Software Graduate Intern
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolSuyash Bakshi is a research-oriented software engineer and Ph.D. graduate from the University of Houston with a decade of experience building high-performance middleware and distributed systems. Currently a Research Software Graduate Intern at Intel in Austin, he specializes in distributed data structures, performance optimization, and enabling ML workloads to leverage modern GPU features. His background spans migrating and accelerating TensorFlow pipelines for seismic interpretation, solving I/O bottlenecks, and designing embedded measurement devices—demonstrating a rare blend of systems-level rigor and applied machine learning. Comfortable across Linux system administration, Android development, and parallel computing, he translates research insights into production-ready software. Notably, his work has focused on squeezing practical performance gains from both hardware (Tensor Cores, multi-GPU) and software stacks, making complex models faster and more scalable.
10 years of coding experience
1 year of employment as a software developer
Master’s Degree, Computer Science (Parallel and Distributed Computing), Master’s Degree, Computer Science (Parallel and Distributed Computing) at University of HoustonBachelor's Degree, Computer Science and Engineering, Bachelor's Degree, Computer Science and Engineering at University Institute of Technology, RGPVHigh School, High School at Bank Officers’ Public School, Bhopal, India
Marathi, English, Hindi
Stackoverflow
69reputation
9kreached
0answers
4questions
Github Skills (53)
python9
machine-learning9
tensorflow9
deep-learning9
modeling8
code-generation8
neural-network8
data-science8
algebra7
ml7
deep-neural-networks7
data-structures7
socket6
architectures6
high-performance6
Programming languages (4)
Github contributions (5)
suyashbakshi/LU-Decomposition-Blocked
Oct 2019 - May 2020
Contributions:15 commits, 14 pushes, 1 branch in 7 months
suyashbakshi/distributed-ranges
Apr 2023 - Dec 2023
Distributed ranges is a generalization of standard ranges for distributed data structures.
Contributions:21 pushes, 11 branches in 8 months
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