Vishal Kapoor
Gen AI ML Account Executive at Amazon Web Services (AWS)
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolVishal Kapoor is a Gen AI/ML Account Executive based in New York with seven years of experience bridging advanced machine learning solutions and enterprise go-to-market strategy at AWS. He combines a strong technical foundation—Bachelor's in Electrical Engineering and multiple AWS specialty certifications—with a background in strategic partnerships and business development across hyperscalers, mobility/IoT, and unified communications. Previously a senior equity research analyst, he brings uncommon fluency in TMT market dynamics and financial analysis to help customers align AI investments with measurable business outcomes. Vishal is also an active contributor to prominent open-source deep learning tooling (helping harden MXNet tutorial notebooks and CI tests), reflecting hands-on MLOps and QA skills beyond his sales remit. Known for translating complex technical requirements into pragmatic solutions, he excels at driving adoption of cloud-native AI across large, regulated enterprises.
7 years of coding experience
2 years of employment as a software developer
ALM-Master's Degree in Management Concentration in Finance, ALM-Master's Degree in Management Concentration in Finance at Harvard UniversityBachelor's degree in Electrical Engineering, Bachelor's degree in Electrical Engineering at University of Colorado Boulder
Github Skills (15)
mxnet10
jupyter-notebook10
machine-learning10
deep-learning10
python10
cicd10
test-automation10
modeling9
trainings9
gpu9
unit-testing9
scikit-image7
build-automation7
pandas7
tensorflow3
Programming languages (5)
Github contributions (5)
zackchase/mxnet-the-straight-dope
Jul 2018 - Nov 2019
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:32 commits, 28 PRs, 19 pushes in 1 year 4 months
Contributions summary:Vishal primarily contributed to the maintenance and improvement of the existing codebase, focusing on several tasks related to testing, deployment, and parameter management. They fixed JSON errors in notebooks, updated deprecated functions, and corrected syntax errors. Furthermore, they optimized the execution environment for specific notebooks and ensured the correct use of context when dealing with GPUs. Finally, the user also made updates to the build process.
pytorchd2lmxnetdeep-learninghas-content
apache/mxnet
Jul 2018 - Dec 2018
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:12 commits, 12 PRs, 120 comments in 4 months
Contributions summary:Vishal's contributions primarily revolve around enhancing the testing infrastructure for the MXNet project, specifically focused on the "Straight Dope" tutorial notebooks. They implemented and debugged tests for these notebooks, ensuring they run without errors or warnings within the CI/CD pipeline. Their work included fixing relative path issues, adding dependencies, and enabling/disabling tests based on their performance and integration. They modified tests to address timing issues.
pythonschedulerdataflowmutationdata-science
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