PROJECTS
CONTACT

Mahak Khurmi

3rd year student at University of Toronto pursuing:

  • Computer Science Specialist
  • Statistics Major
  • Mathematics Minor

CURRENT POSITIONS

PAST POSITIONS

  • Undergraduate Researcher at MEDCVR lab
  • Software Engineering Intern at HypeDocs
Mahak's profile pic

ABOUT

Mahak's picture

Hello! I'm a Computer Science Specialist student at University of Toronto with a passion for software development and machine learning.

I love working in a team and enjoy participating in hackathons and coding challenges. I am passionate about learning and communicating, and love to get my hands on new projects and ideas.

Fun fact: I have played Tennis professionally for 6 years and it will always be an important part of my life.

EXPERIENCE

Research Assistant at MEDCVR lab
May 2021 - Aug 2021

Research Assistant at MEDCVR lab

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May 2021 - Aug 2021

Designed a machine learning model capable of performing automatic lesion boundary detection using dermoscopy images. Devised deep learning models in PyTorch (Python) using architectures like UNet, Attention Net, Pool Nets and Att-UNets and tested them on the collected dataset to find the best architecture for the project

Full-Stack Web Developer for HypeDocs
Jun 2021 - Sep 2021

Full-Stack Web Developer for HypeDocs

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Jun 2021 - Sep 2021

Mahak's image on hypedocs page

Worked as a Software Developer Engineer for HypeDocs comapny.Used React, React hooks and Javascript to work on the front-end and back-end of the HypeDocs.co software.

Implemented functionalities in the HypeDocs software like pop-modals, csv importer, csv download and batch writes to support the launch of Public Page feature, which is now used by 70% of users (28% after first week) Improved reliability by migrating the data of 300 customers to Google Firebase and used netlify for the launch

Instructor for LearnAI initiative by AI Commons
Dec 2020 - Present

Web Developer for HypeDocs

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Dec 2020 - Present

Taught machine learning concepts to 300+ students from the countries of East and West Africa including Kenya, Ghana, Nigeria, Algeria, and Mexico under the LearnAI in Africa initiative. "LearnAI in Africa" is an introductory ML educational program with an aim to encourage affordable ‘AIforGood’ employment and is executed in collaboration with organizations like AI Commons, McGill University, Runmila AI Institute and University of Toronto.

Led a team of 40 people from University of Toronto's Artificial Intelligence group, working towards smooth execution of the program.

Executive for UofT Hacks 2022
Jun 2021 - Aug 2021

Executive for UofT Hacks 2022

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Jun 2021 - Aug 2021

I will be working as an Executive for the Sponsorship team of University of Toronto [UofT] Hacks hackathon 2022.

General Executive for UofT Artificial Intelligence Club
Jan 2020 - Present

General Executive for UofT AI

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Jan 2020 - Present

Led a team of 20 students responsible for UofT AI’s marketing and promotion operations for the annual StartAI conference with almost 2,000 participants.

Contributed to the organization of an international machine learning competition with over 100 students from teams from the top 25 universities in North America (Stanford, MIT, Carnegie Mellon, UC Berkeley, etc.) with a budget of $100,000 and partnerships with Google AI, IBM, DeepMind, AccuWeather, Vector Institute, etc.

Project Developer for UTMIST
Sep 2020 - Mar 2021

Project Developer for UTMIST

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Sep 2020 - Mar 2021

Undertaken planning and execution of a Machine learning project in a team of 6 students, with the aim to create a model capable to transferring the style of a piece of music as part of Academic Research projects 2020-21 cohort of University of Toronto Machine Intelligence Student Team [ UTMIST ].

This project was made using tensorflow libraries like librosa, CNN's and was inspired by the process of style transfer of images/paintings.

Peer Leader for New College Orientation prrgrams
Jun 2020 - Present

Peer Leader for New College

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Jun 2020 - Present

I worked as a peer leader for New College Orientation progarms that run throughout the academic year. New College orientation includes programs like E-mentorship, IGNITE, SPROUT and New1X.
I was a participant of New College orientation in my first year and that it was immensely useful for me as it helped me transition smoothly to university life and also helped me make friends and get comfortable with the canadian culture. Thus, I decided to give back to the college volunteering as a Peer Leader for academic session 2020-21 and 2021-22 . As a Peer Leader, I get to organize events with 100+ participants, answer incoming student's questions about university life and academic, and be a mentor for a group of 15 incoming students .

PROJECTS

Advanced Conference Managament System

Advanced Conference Managament System

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This was the Final project for CSC207: Software Design course. In order to complete this project, I worked in a team of 7 developers over the period of 2 months.

This is a software which can be used to schedule and manage participants for conferences. This projects is made using Java and has a complete GUI, made using Java Swing. This project is made following the principles of software design including clean archietecture and SOLID.

Musical Style Transfer with CNNs

Musical Style Transfer with CNNs

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Research project made in a team of 5 students for UTMIST Academic track 2020-21 cohort projects.
Made a model capable of transferring the style of a piece of music while preserving its content using tensorflow’s Librosa library, CNNs and spectrograms

Doodle Jump Game using MIPS Assembly

Doodle Jump Game using MIPS Assembly

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This was the Final project for CSC258: Computer Organization course where I recreated the Doodle jump game using low level Assembly programming language.

This game includes Fancier Graphics, Dynamic on-screen notifications, Scoreboard and interactive Lethal creatures/opponents.

Flappy Bird AI

Flappy Bird AI

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Using NEAT Python to learn to play Flappy Bird game. This code uses search and optimise technique called genetic algorithm, which creates a particular number of random configurations and the best of them is used to create the next generation of neural networks. As we repeat the process, we observe that the performance improves.

AWARDS & SCHOLARSHIPS

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Awarded Dean’s Honors Scholar
Jun, 2021 | Aug, 2020

In recognition of my academic excellence as a U of T student, I was named a Dean’s List Scholar in the Faculty of Arts & Science for the 2020-21 and 2019-20 fall /winter academic year.

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University of Toronto International Scholarship Recepient
Aug, 2019

Awarded to the University’s most outstanding International secondary school students on admission.

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University of Toronto Scholars Award
Aug, 2019

Awarded to the University’s most outstanding secondary school students on admission.

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Selected among Top 25% students for Euclid Competition
Apr, 2019

Awarded by University of Waterloo, Canada for being among top 25% students in Euclid Competition.

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Selected among Top 0.1% students from India in Mathematics
Dec, 2018

Selected among top 0.1% of students from India in Mathematics by CBSE on the basis of CBSE board's 12th standard Mathematics exam, in which I got a perfect score of 100.

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Best Tennis Player Award
Sep, 2017

Recepient of the prestigious Best Tennis Player Award by Rajasthan’s State Sports Department (Women’s category).

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