Experience

Work Experience

  • Co-founder, Kimova AI (2024)
    • Co-founded and lead Kimova AI, a pioneering ISO auditing company leveraging AI technology to transform cybersecurity and compliance practices.
    • Secured backing from the Google Cloud Startup Program to accelerate growth and enhance service offerings.
    • Revolutionizing ISO/IEC 27001:2022 compliance assessments with innovative solutions, ensuring security, speed, and accuracy in gap assessments.
    • Spearheaded strategic partnerships and client engagements, driving business development and operational excellence.
  • Data Scientist at Center for AI and Automation, Sandvik Gmbh (2024)
    • Led development and deployment of end-to-end AI solutions within an Azure environment collaborating with stakeholders to align business needs and execute strategic initiatives.
    • Working towards delivering platform responsibility, ensuring seamless integration and optimization of AI services to enable capability creation and accelerate business growth in a dynamic international environment.
  • Researcher at German AI Research Center (DFKI), Germany (2023)
    • Started with the work of designing perception systems specifically tailored for driver behavioral modeling within the domain of connected, cooperative, and automated mobility (CCAM) projects BERTHA – an EU Horizon project.
    • Conducted the first studies to apply Bayesian Belief Networks (BBN) extensively to construct scalable and probabilistic Driver Behavioral Models (DBM), ensuring both technological feasibility and practical applicability in real-world scenarios.
  • Doctoral Researcher at Serre Lab, Brown University, USA (2019-2023)
    • Conducted research and identified the challenges faced by machines in performing abstract reasoning tasks, highlighting its disparity with humans’ performance.
    • Developed novel architecture by leveraging insights from cognitive science literature, specifically the role of attention and memory.
    • Created a prototype model that successfully combines attention and memory, resulting in state of the art performance on two visual reasoning dataset.
    • Designed and optimized multi-million parameter models utilizing Transformer architecture to accommodate higher resolution images without compromising computational complexity, resulting in outstanding performance on real-world classification challenges.
    • Published papers in prestigious conferences and journals including NeurIPS, ICLR, and Neural Computation, showcasing research contributions and expertise.
    • Collaborated with interdisciplinary teams and projects across institutes during the course of the PhD, fostering a collaborative and dynamic research environment.
    • Worked with a multi-GPU environment using Slurm workload manager on High performance computing clusters such as Oscar and CALMIP.

Startup Experience

  • Shree Bherunath Granite, Rajsamad, India (2014-2016)
    • Helped my family setup granite mines and played a key role in overseeing the day-to-day operations of the firm supervising 20 employees and has made significant contributions to the efficiency and productivity of our team.
  • Kevin Technology, Ajmer, India (2016-17)
    • Co-founded a start-up with a vision to develop 2016-17 surveillance system based on computer vision techniques.

Industrial Experience

  • Research Engineer at WeDiagnostiX (Feb 2019 - July 2019):
    • Advisor: Prof. Hugues Talbot
    • Developed the first working prototype for the classification and understanding of maxillary structures from X-ray images.
    • Demonstrated expertise utilizing Deep Learning algorithms for semantic and instance segmentation of teeth.
    • Created an end-to-end pipeline, including data collection and labeling, to build a functional model.
    • Responsible for the entire project, ensuring smooth progress from data collection to the development of a fully operational prototype.
  • Research Engineer at Quelia Systems Inc. (July 2018 - Aug 2018):
    • Developed an application for estimating tire wear during a summer internship.
    • Utilized computer vision techniques and a portable mobile camera to measure the depth of tire treads.
    • Contributed to enhancing safety on the road by providing a user-friendly solution for assessing tire conditions.

Academic Experience

  • Reviewer IEEE Transactions on Evolutionary Computation 2012, NeurIPS 2021, CVPR 2022,2023, ICML 2022, ECCV 2022
  • Research Assistant in Ajman University, U.A.E.
  • Offshore working with Suspect Technologies, a startup by Massachusetts Institute of Technology (MIT) Camera Culture Group members.
  • Kumbhathon Challenge 2015
    • Contributed in innovating Kumbha festival by MIT USA and worked on “Abnormal Motion Detection”
  • Indian Institute of Science (IISc), Bangalore, India
    • Advisor: Prof. K R Ramakrishnan
    • Project: During my summer internship I wrote a survey article on 3D Video Synopsis: Capturing to Transmission
  • Global Internship Program In Engineering Innovation And Design (GIPEDI), Indian Institute of Technology (IIT) Delhi
  • Indian Institute of Technology (IIT), Jodhpur, India
    • Advisor: Prof. Anil Kumar Tiwari
    • Project: I developed lossless video compression techniques and published papers in Top tier conference, Data Compression Conference.

Conference Talks

Teaching

  • Supervising 15 M1 students at Paul Sabastier University, France for the course Initiation to research work (project) (EMINC2B2), Jan-May 2021
  • Teaching Basics of Introduction to Computer vision at Federal University of Toulouse Midi-Pyrénées, France, Mar-May 2021, 2022
  • Teaching Visual Reasoning in Computer Vision at Federal University of Toulouse Midi-Pyrénées, France, Mar-May 2021, 2022
  • Teaching Assistant for Electronics lab at The LNMIIT, Jaipur India.

Workshops