Vaibhav Kulshrestha is a Data Scientist with nine years of experience building and deploying deep learning solutions for transportation and industrial applications, currently focused on railway safety and infrastructure inspection at Wi-Tronix. He designs computer vision pipelines for image/video classification, object detection and segmentation, and extends his expertise to time-series, audio, and text analysis—often using synthetic data to bootstrap production-ready model APIs. Vaibhav has a proven track record of improving real-time performance (migrating YOLOv5→YOLOv7 and cutting per-frame latency by 50%) and integrating edge hardware like Raspberry Pi for on-site inference. His background spans academic research in bioinformatics and robotics (MS from ASU) and practical ML engineering across startups and research labs, giving him a unique cross-disciplinary view. Comfortable with MLOps tools like Kubeflow and CI/CD practices, he blends experimentation with production rigor to move models from prototype to deployed systems.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Robotics and Automation Systems (AI), Master of Science - MS Robotics and Automation Systems (AI) at Arizona State University
High School Diploma Science, High School Diploma Science at Amity International School, Noida
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Birla Institute of Technology and Science, Pilani - Goa Campus
A python package for performing single NMF and joint NMF algorithms
Contributions:30 commits, 5 PRs, 23 pushes in 4 years 5 months
pythonfactorizationmachine-learningjointnmf
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