Summary
Madhav Agarwal is a research scientist and computer vision specialist with nine years of experience building ML-powered systems, from academic research in face reenactment and table detection to industry roles deploying production models. He holds an MS by Research under renowned advisors at IIIT and is pursuing a PhD at the University of Edinburgh, blending rigorous scholarship with practical engineering. His work spans deep learning, neural networks, OpenCV, and large-scale Hadoop ecosystems—he’s deployed 15-node clusters and authored papers on ML in big data. Notable projects include a neural model that generates human handwriting, an automated CCTV-based attendance system, and state-of-the-art table detection in documents, reflecting both creative and applied strengths. A past winner of BigDataThon'17 and top-percentile performer in several ML competitions, he combines competitive problem-solving with collaborative research stints at TUM and IIIT.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Edinburgh
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD
Intermediate(10+2), Intermediate(10+2) at R.R.K. Senior Secondary School, Chandausi
MS by Research, Computer Science and Engineering, 9.17, MS by Research, Computer Science and Engineering, 9.17 at International Institute of Information Technology