Venkateswaran Shekar is an Assistant Computational Scientist with a decade of experience building software and machine learning infrastructure to accelerate research, currently contributing to Brookhaven National Laboratory. He combines a PhD-level background in computer engineering with hands-on expertise in Python, high-performance computing (SLURM), GPU acceleration, and scientific tooling to turn complex domain problems—traffic modeling, materials discovery, and bioinformatics—into reproducible code and scalable pipelines. His career blends academic research and applied engineering across national labs, academia, and industry, producing peer-reviewed work and tools for data extraction, visualization, and simulation. Known as a pragmatic generalist who ships end-to-end solutions, he also has a track record of substantial performance improvements (e.g., GPU-accelerated LCMS processing) and cross-disciplinary collaboration that helps research teams move from prototypes to production.
10 years of coding experience
13 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at State University of New York at New Paltz
Bachelor's degree, Electrical and Electronics Engineering, First Class, Bachelor's degree, Electrical and Electronics Engineering, First Class at Terna Engineering college, Mumbai University, India
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at University of Massachusetts Dartmouth
Contributions:250 pushes, 141 branches, 2 comments in 2 years 6 months
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