Abbaas Nishar
Senior Data Scientist
San Jose, California, United States
Summary
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Senior🎓
Top SchoolAbbaas Nishar is a Senior Data Scientist based in San Jose with six years of experience building production-grade recommender systems, LLM/VLM integrations, and GPU-accelerated ML pipelines. At Capital One he drove a >30% uplift in recommendation performance by designing novel features, deploying Transformer-based models, and architecting RAPIDS-powered pipelines for massive speedups. He also led enterprise MLOps work to automate monitoring, drift detection, and explainability, bridging research rigor with production reliability. His PhD research at Georgia State uncovered a novel form of visible-light communication using camera sensors—an example of his ability to turn exploratory research into practical systems. Known for treating computer science as applied mathematics, he enjoys connecting across applied AI, high-performance computing, and explainable ML.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 8.77/10, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, 8.77/10 at Vellore Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, 4.21/4.3, Doctor of Philosophy - PhD, Computer Science, 4.21/4.3 at Georgia State University
Github Skills (49)
depth-estimation9
depth-camera9
azure-stream-analytics9
stream-analytics9
labelimg8
image-annotation-tool8
stream8
stereolabs8
annotations8
stereo8
imagenet7
visual-odometry7
audio7
feature-matching7
computer-vision6
Programming languages (6)
Github contributions (5)
abbaasalif/abbaasalif.github.io
Apr 2021 - Mar 2025
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Contributions:84 pushes, 3 branches in 3 years 11 months
data-developersciencedata-sciencejekyll-theme-minimaljekyll
abbaasalif/cost_minimization_Deep_Q_learning
Feb 2021 - Feb 2021
Contributions:28 commits, 5 pushes, 1 branch in 5 days
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