Hey there, I'm

Aditya

and welcome to my site.

About me

Hello, I'm Aditya, a graduate student currently pursuing a Masters in Computer Science at the University of Florida, Gainesville.

After graduating from Rajiv Gandhi Technical University, India, I worked as a Web developer for half a year. I then joined the Indian Institute of Information Technology, Jabalpur, India as research assistant where I worked on problems in Pattern Recognition, Unsupervised Machine Learning, and Deep Learning.

Here are some of the technologies I work with

  • Langugages: C, C++, Java, JavaScript, Python, R
  • Web Technologies: HTML5, CSS3, ReactJS, Bootstrap
  • Databases: MySQL, T-SQL
  • Machine Learning Libraries: numpy, scipy, sci-kit learn, pandas
  • Deep Learning frameworks: TensorFlow, Pytorch, Keras

Where I've worked

Research Assistant, Indian Institute of Information Technology

May 2018 - August 2019

  • Conducted original research in domain of Pattern Recognition and published my findings in peer-reviewed journals.
  • Worked with a team of researchers and designed novel clustering algorithms for remote sensing applications.
  • Designed Deep Learning models for classification of diseases in Soybean plant.

Web Developer, Learning Zapper

March 2018 - April 2018

  • Worked as part of Frontend Development team and created responsive Web applications.
  • Developed Landing Page and worked on Dashboard elements with HTML5, JavaScript, jQuery, and Bootstrap.

Web Developement Intern, 365Doctor.in

November 2017 - January 2018

  • Developed the query management system for handling customers’ queries.
  • Designed the frontend and backend using technologies like HTML, CSS, JavaScript, and PHP.

Education

University of Florida, Gainesville, Masters in Computer Science

August 2019 - June 2021

Rajiv Gandhi Technical University, Bhopal, India, Bachelors in Computer Science and Engineering

July 2013 - June 2017

Udacity, Nanodegree

July 2018 - August 2019

Coursera, Specializations

August 2017 - February 2018

FreeCodeCamp, Front-End Web Development

August 2017 - February 2018

edX, Professional Program in Data Science

August 2016 - September 2017

My Projects

Some featured projects.

Twitter Simulator

November 2019 - December 2019

  • Developed a twitter clone replicating all the functionalities of real twitter engine along and simulated real human interactions.
  • Used Elixir Phoenix framework for Front-End functionalities and Elixir's GenServer module for Back-End logic.
  • In simulation mode, predefined users replicated human interactions while the client mode allowed the user to create an id and perform operations like sending tweets, subscribe, retweet, query hashtags, and search for mentions.

Tapestry Routing

October 2019 - November 2019

  • Implemented Tapestry algorithm as described in paper "Tapestry: A Resilient Global-Scale Overlay for Service Deployment"
  • Dynamically created a network according to the number of nodes specified by the user.
  • Implemented all the functionalities mentioned in the research paper.

Gossip Algorithms

September 2019 - October 2019

  • Implemented gossip and push sum algorithm to simulate message passing in distributed systems.
  • Used Elixir's GenServer module to replicate the asynchronous message exchange among multiple nodes.
  • Evaluated the efficacy of both the algorithms on various network topologies.

Game Playing Agent

November 2019 - December 2019

  • Developed an agent to play a game named "isolation" and compared its efficacy with other AI agents.
  • Implemented Monte Carlo Tree Search to create an adversarial game agent.
  • Evaluated the agent's effectiveness against other search methods like minimax optimization, alpha-beta search, greedy agent and random search.

Micro-mouse Competition

November 2019 - December 2019

  • The project was inspired by the Micro-mouse competition, and the goal was to make the mouse find an optimal path from one corner to the center of the maze.
  • Implemented A* algorithm and Dynamic Programming to find the optimal route.
  • Created the logic to govern the physical mechanics of the robot.

View all my projects here.

Publications

Fuzzy C-Means Clustering using Jeffreys-divergence based Similarity Measure, Aditya Karlekar, Dr. Ayan Seal, Dr. Ondrej Krejcar, Dr. Consuelo Gonzalo-Martin December 14, 2019, Journal of Applied Soft Computing: Elsevier

Fuzzy K Means with Non-Linear S-distance, Aditya Karlekar, Dr. Ayan Seal, Dr. Ondrej Krejcar, Dr. Consuelo Gonzalo-Martin, April 18, 2019, IEEE Access.

Character Recognition, Aditya Karlekar March 2018, International Journal of Advance Research and Development

Want to connect

Get in touch with me adityakarlekar231@gmail.com

or

find me on

Github

Linkedin

Thanks for visiting

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