cv

Ph.D. in Signal and Image Processing Sciences

• Thesis: Deep Neural Network Modeling of Electric Motors
• Advisor: Prof. Jean-Christophe Pesquet

M.Tech in Computer Science and Engineering

• Thesis: Action Recognition in Egocentric Videos

B.Tech in Information Technology

• Thesis: Reinforcement Learning for Aerial Aerobatics

Staff Computer Vision Engineer

• Vision-Language Models (VLMs) for manufacturing plant analysis
• Building multimodal AI systems for industrial environments

CTO & Co-Founder

• Principal Investigator (PI) for a $750K defense contract with U.S. Air Force Research Lab (AFRL)
• Secured $100K grant from National Geospatial-Intelligence Agency (NGA)
• Led development of GeoEngine, a first-of-its-kind geospatial AI platform
• Managed 30-person cross-functional team across research, engineering, and operations
• Published 18 peer-reviewed research papers
• Filed two patents in automated property measurement and multi-view synthesis

Research Intern

• Investigated neural networks for modeling electrical motor dynamics
• Paper published in AAAI and successful ANRT CIFRE grant award

Junior Research Fellow

• Vision models for Human Pose, Shape, and Motion
• Published papers on egocentric videos and fashion understanding

• Winner in ECCV Map-Free Challenge

• Google TPU Research Grant ($420,000)
• Best Method in 1st Workshop on Maritime Computer Vision (MaCVi) at WACV
• CHABUD Most Innovative Solution Award at ECML-PKDD

• Capital Innovator Grant from NGA, USA ($120,000)

• PI for U.S. AFRL and Space Dynamics Lab contract ($750,000)
• Techstars Boston Winter Founders Award ($120,000)

• Winner of Hyperspace Challenge by AFRL and IARPA
• CIFRE Scholarship by ANRT, France
• PRAIRIE Young Researcher Scholarship by Meta AI, France

Course Instructor

• MVA-DL (3A-MDS-E2-DL): Created course content, assignments, and projects
• Organized lab sessions with DeepMind, Meta AI, and Cohere AI

Teaching Assistant

• Machine Learning (2EL1730), organized annual in-class Kaggle competitions
• MSc Artificial Intelligence, MSc Machine Learning
• Foundations of Machine Learning (DSBA-FML)
• Introduction to Deep Learning

Teaching Assistant

• Deep Learning (CSE641): First DL course at IIITD, set up initial cluster
• Data Structures and Algorithms (CSE102)
• Introduction to Programming (CSE101)

Method for Training a Model Able to Predict a Corrected Time Series Signal

• EP4418165A1
• Authors: S Verma, M Castella, JC Pesquet, N Henwood, AK Jebai

Geospatial Intelligence Platform

• Patent No: 2023081362
• Authors: S Verma, S Gupta