Ajay Shrihari

Ajay Shrihari

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Founder
New York, United States

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Résumé

Jobs verified_user 0% verified
  • Coral
    Founder
    Coral
    Sep 2024 - Current (1 year 9 months)
  • Stealth Startup
    Founder
    Stealth Startup
    May 2024 - Current (2 years 1 month)
    Solving the back-office challenge in healthcare!
  • LimeChat
    Founding Advisor
    LimeChat
    Jan 2024 - Oct 2025 (1 year 10 months)
    assisting
  • LimeChat
    Founding Product Lead
    LimeChat
    Oct 2022 - Feb 2024 (1 year 5 months)
  • LimeChat
    Founding Engineer
    LimeChat
    Jun 2021 - Feb 2024 (2 years 9 months)
  • Cropin
    Intern
    Cropin
    May 2020 - Aug 2020 (4 months)
    1. Satellite Imagery Platform: Built new system for faster access of areas of interest for users in the UI using Cloud Optimized Geotiffs and storage of locations using a quadkey based approach. The system also integrated into providing high quality data for data science downstream processes. 2. Acceleration of processes: Accelerated this new platform on GPU’s, and demonstrated a much faster version of the platform using multi-threading. 3. Datacube: Wrote code for storing time series data and vegetation indexes from multiple satellite data sources and storing these multidimensional array representations in a database for easy querying. Demonstrated this system using Folium and Leaflet.js on interactive maps. 4. Impact: Work is currently be
  • International Institute of Information Technology Hyderabad IIITH
    Undergraduate Researcher
    International Institute of Information Technology Hyderabad IIITH
    Apr 2019 - Apr 2021 (2 years 1 month)
    1. Self Driving Car - Mahindra Rise Challenge Built circuits for the self driving car to switch between autonomous and free modes without the use of CAN bus. - Implemented Frenet Frame based obstacle avoidance to go along with Lidar based Occupancy and Costmaps for motion planning. - Implemented different sensor fusion algorithms for finding GPS waypoints and scene understanding using LiDAR and stereo based approaches. 2. Collision avoidance framework: Building non holonomic collision avoidance for real-world indoor scenes using novel methods (accepted to ECC’21). 3. Stereo vision: Implemented many classical and deep learning stereo vision algorithms for use in practical scenarios. Tech: MATLAB, Python, ROS.
  • Indian Institute of Science IISc
    Deep Learning Researcher
    Indian Institute of Science IISc
    Jun 2018 - Sep 2018 (4 months)
    1. Research in Computer Vision at the Video Analytics Laboratory (Computation and Data Science Center) under Professor Venkatesh Babu, working for PhD student K Ram Prabhakar. 2. Problems tackled include deghosting of images and image segmentation using siamese neural networks and Mask R- CNN's.
  • Polaris Wireless
    Intern
    Polaris Wireless
    May 2015 - Jan 2016 (9 months)
    1. Intern under Mr. Anand Srinivasan, Associate Vice President, Global Logic as a high school student. 2. Trained in GPS, GPRS and IoT systems apart from communication concepts like OSI and SS7 protocols.
Education verified_user 0% verified
  • International Institute of Information Technology
    Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
    International Institute of Information Technology
    Jan 2017 - Dec 2021 (5 years)
  • International Institute of Information Technology Hyderabad IIITH
    Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
    International Institute of Information Technology Hyderabad IIITH
    Jan 2017 - May 2021 (4 years 5 months)
  • N
    Science with Computer Science (Physics, Chemistry, Mathematics, Computer Science
    National Public School Indiranagar
    Jan 2015 - Dec 2017 (3 years)
  • S
    Sishu Griha High School
    Sishu Griha High School
    Jan 2005 - Dec 2015 (11 years)
Projects (professional or personal) verified_user 0% verified
    Awards verified_user 0% verified
    • S
      Commendable performance in Mathematics
      Sishu Griha High School
      Award for best performance in Mathematics for freshman and sophomore years of High School.
    • S
      Award for creativity and contribution towards Science
      Sishu Griha High School
      Facilitated for my contributions towards Robotics, Computer Science projects during High School years
    • D
      Delhi Public School Hackathon
      2nd prize received for developing an AR cross platform application with realtime feedback. Developed using NodeJS, AweJS, and Ionic Frameworks
    • S
      Commendable performance in Computer Science
      Sishu Griha High School
      Awarded for highest and consistent marks during freshman and sophomore years of high school.
    Publications verified_user 0% verified
    • I
      Non Holonomic Collision Avoidance under Non-Parametric Uncertainty: A Hilbert Space Approach
      IEEE European Control Conference
      Feb 2021
      We consider the problem of an agent/robot with non-holonomic kinematics avoiding dynamic and static obstacles. Additionally there may be bounds/constraints on the configurational space of the robot in the form of lane/corridor boundaries. State and velocity noise of the robot, the lanes, the obstacles, and the robot’s control noise are modelled as non-parametric distributions as Gaussian assumptions of noise models are violated in real-world scenarios. Under these assumptions, we formulate a robust MPC that samples robotic controls effectively in a manner that aligns the robot to the goal state while avoiding obstacles and staying within the lane bounds under the duress of such non-parametric noise. In particular, the MPC incorporates a dis
    This is a community-created genome.