Jayanth Prakash Kulkarni

Software Engineer (machine learning) II at Avesha
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Vancouver, British Columbia, Canada, CA
Languages
  • English Native or bilingual proficiency
  • Kannada Native or bilingual proficiency
  • Hindi Full professional proficiency
Skills

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Algorithms: Design and Analysis, Part 1
    Coursera
    Dec, 2014
    - Sep, 2024
  • Game Theory
    Coursera
    Dec, 2014
    - Sep, 2024

Experience

  • Avesha
    • United States
    • Software Development
    • 1 - 100 Employee
    • Software Engineer (machine learning) II
      • Aug 2022 - Present

    • Software Engineer II
      • Jan 2022 - Jul 2022

    • Machine Learning Engineer
      • Apr 2021 - Oct 2021
  • University of Windsor
    • Canada
    • Higher Education
    • 700 & Above Employee
    • Lead Graduate Teaching Assistant
      • Sep 2018 - Jan 2021

      Lead Graduate TA for * Adv AI - Machine Learning (COMP4730-1-R-2019F)* Theoretical Foundations of Computer Science (COMP-2310)* Data structures and algorithms (COMP-2540)* Design and Analysis of Computer Algorithms (COMP - 4540)Duties included- Guiding graduate and undergraduate students to develop Machine Learning models to solve interesting problems.- Instructing 2 hour weekly labs - Grading students on Assignments, midterms and projects.

    • NLP, Deep Learning Research Assistant
      • Sep 2018 - Jan 2021

      * Developed novel algorithms for terminology extraction in textual data.* My Proposed HMI algorithm outperformed Mutual information and Chi-squared methods. * Improved the performance of doc2vec by 9.56% by incorporating bigram terminologies.

  • Indian Institute of Science (IISc)
    • India
    • Research
    • 700 & Above Employee
    • Deep Reinforcement Learning Research Project Assistant
      • Aug 2017 - Jul 2018

      Stochastics Systems Lab, Indian Institute of Science (Dr. Shalabh Bhatnagar) and Advanced Data Management Research Group, Siemens Technology and Services Pvt. Ltd.• Worked on a project in collaboration with Siemens research group on optimizing the traffic signal time for multiple junctions.• Involved in reading research papers, developing and implementing multi-agent deep reinforcement learning algorithms to control the traffic signal time using Chainerrl framework.• Interacted with Ph.D. and Postdoc and other researchers on on-going projects like quadruped robot and smart grids and research problems related to Bayesian optimization, Neural networks, and Traditional Reinforcement Learning. Show less

    • Machine Learning Research Intern
      • Aug 2016 - Aug 2017

      Topic Analysis and Synthesis Lab, Indian Institute of Science (Dr. M. Narasimha Murty)•Worked on Document clustering and Topic Classification.•Comparative study between SVM Naive Bayes and Spectral Clustering algorithms on Document dataset.•Learnt about word2vec and Glove, deep learning models and used it for clustering documents.•Learnt advanced preprocessing methods in NLP.•Applied Centrality measures as a feature to cluster data and achieved significant improvement in the accuracy of clustered documents. Show less

    • Summer Researcher Fellow (Indian Academy of Science)
      • Jun 2016 - Aug 2016

      Game Theory Lab,Indian Institute of Science (Dr. Y. Narahari)Implemented Machine learning algorithms from scratch and tested it over real data-setInteracted with research students in the lab on topics in the intersection of Game-theory and Machine learning

    • Summer Researcher Fellow (Indian Academy of Science)
      • Jul 2015 - Nov 2015

      Game Theory Lab, Indian Institute of Science (Dr. Y. Narahari) •Implemented Balanced binary search trees and Skip list data structures, algorithmic Comparative study was done between them. •Game Theoretic problem Solver for N-player games. •Implemented N-player game solver in C for finding the dominant strategy, Nash Equilibrium, Minmax, and Maxmin values and strategies. Game Theory Lab, Indian Institute of Science (Dr. Y. Narahari) •Implemented Balanced binary search trees and Skip list data structures, algorithmic Comparative study was done between them. •Game Theoretic problem Solver for N-player games. •Implemented N-player game solver in C for finding the dominant strategy, Nash Equilibrium, Minmax, and Maxmin values and strategies.

    • Summer Researcher Intern
      • Jun 2014 - Aug 2014

      Worked under the guidance of Dr.NKS Rajan, CGPL, IISc. •Developed a C# application for spline interpolation and smoothing of curves with GUI. Worked under the guidance of Dr.NKS Rajan, CGPL, IISc. •Developed a C# application for spline interpolation and smoothing of curves with GUI.

Education

  • Indian Institute of Science (IISc)
    Research Assistant, Machine learning
    2017 - 2018
  • University of Windsor
    Master's degree specializing in Applied ML, Deep Learning, NLP, Computer Science
    2018 - 2021
  • Visvesvaraya Technological University
    Bachelor of Engineering (B.E.), Computer Science
    2013 - 2017

Community

You need to have a working account to view this content. Click here to join now