Jayanth Prakash Kulkarni Email & Phone Number

Vancouver, BC, CA

Vancouver, British Columbia, Canada

Vancouver, British Columbia, Canada

Remote

Ontario, Canada

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..

Windsor, Ontario, Canada

* 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.

Bengaluru Area, India

• 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.

Bengaluru Area, India

• 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.

Bengaluru Area, India

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

Bengaluru Area, India

• 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.

Bengaluru Area, India

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

Research Assistant, Machine Learning

Activities and Societies: Collaborated with Siemens research group on solving vehicular traffic congestion problem using deep.

Master'S Degree Specializing In Applied Ml, Deep Learning, Nlp, Computer Science, A

MSc (Thesis) - Computer Science Thesis Topic - Multi-Word Terminology Extraction and Its Role in Document embeddings. Advisor - Dr..

Bachelor Of Engineering (B.E.), Computer Science

Ramaiah Institute of Technology