Shivam Swarnkar
Software Engineer at Bloomberg
India
Summary
👤
Senior🎓
Top SchoolShivam Swarnkar is a software engineer and independent developer with 11 years of industry experience, currently building systems at Bloomberg and leading an open-source learning community as founder of BlueMirrors. He specializes in computer vision and deep learning, having designed and deployed real-time multi-camera traffic monitoring, ANPR, and edge-optimized models for city-scale AI projects, and driven substantial inference speedups and model compression using distillation, quantization and pruning. His background includes senior ML roles and volunteer leadership at Omdena where he led earthquake risk modeling and NLP projects that produced reusable pipelines and tangible improvements in topic modeling accuracy. A NYU computer science graduate and Udacity ML nanodegree holder, Shivam blends research-driven solutions with production-grade engineering for both cloud and constrained devices. Notably, he has reduced model parameters by nearly 89% with minimal accuracy loss and standardized deployment practices across teams, showing a rare mix of product, deployment, and mentorship impact.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, 3.76, Bachelor of Science - BS, Computer Science and Engineering, 3.76 at New York UniversityMachine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
tensorrt10
onnxruntime10
pytorch9
yolov59
object-detection9
computer-vision9
machine-learning7
deep-learning7
video-encoding7
python6
negotiation5
hevc5
webm5
video-processing4
tensorflow4
Programming languages (5)
Github contributions (5)
BlueMirrors/bluemirrors.github.io
Jul 2016 - Nov 2023
Contributions:1 review, 20 pushes, 6 branches in 7 years 5 months
BlueMirrors/cvu
May 2021 - Jul 2022
Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platforms, devices, and models.
Contributions:1 release, 25 reviews, 201 commits in 1 year 2 months
platformscomputer-visionobject-detectionconsistentaims
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