Internships

Audio Machine learning coop at Bose

Date: July 2022 - Present

Mentors: Alex Pawlicki

  • Worked on the following two major projects:

  • Three-STEM Audio Source Separation: Coded online input mixing pipeline for audio data of more than 200 TB and trained Multiresolution cross net model from cocktail fork publication on it. Engineered model to be causal without any performance loss in SI-SNR values by using LSTM instead of Bi-LSTM layers and adding Self Attention layers.

  • Gender Bias Free Speech Enhancement (SE): Developed a new version of Bose’s dataset by adding gender labels predicted using 95% accurate novel Deep Learning model trained on BYOL-A audio embeddings. Made significant changes in exsting codebase to develop training scheme which improved performance of SE model for under-represented gender class by 3% without loss in performance of other class.

Computer Vision Intern at Spyne.ai

Date: January - May 2021

Mentor: Mr. Deepanshu Singh

  • Designed a pipeline with 40% increase in the performance over previous methodology, for automated bulk processing of car images for websites like OLX, Cars24, etc. (Video link, Credits: Spyne.ai team)

  • Replaced noisy background in the car images with Showroom background using AI model

  • Developed a novel U-Net based Generative Adversarial Network for realistic shadow and reflection generationin car images with replaced background

  • Detected license plate regions in the car images and replaced them with company logo

  • Added pre- and post-processing steps using Digital Image Processing techniques to enhance results

  • Coordinated with software development team to generate APIs and test them using Postman platform

research Intern at AI Institute, University of South carolina

Date: March - August 2020 (Third year of B.Tech)

Mentors: Prof. Amit Sheth, Dr. Shweta Yadav

  • Worked on the project of Depression severity detection from Tweets

  • Implemented Multilabel classification task using state of the art language models like BERT as baseline models

  • Developed novel FiLaMTL - figurative language enabled multitask learning framework to achieve improvement of 4% above state of the art models

  • Long research paper published at COLING 2020 conference (rank-6, h5-index 49)

Winter Internship at PHotonics lab, IIT Gandhinagar

Date: December 2020 (Third year of B.Tech)

Mentors: Prof. Aruplal Chakraborty, Prof. Nithin V George, Chandankumar Jha

  • Developed a mic using FBG sensor, which can reduce the background noise by significant amount

  • Performed several experiments to get frequency response, PESQ score of the recorded signal and for the performance enhancement of the FBG based mic

  • A chieved 30% better signal quality than conventional mic in noisy environment

  • Additionally applied several signal processing techniques like Adaptive filtering, High Pass Filtering and Singular Value Decomposition over the speech signal recorded by FBG based mic to make it more intelligible

  • Gained hands on experience of sensor development and signal processing while working on this project

  • Research paper accepted at 27th Optical Fibre Sensors - OFS conference

  • Also volunteered for PHASE 2020 workshop organised by the Photonics lab IIT Gandhinagar in colaboration University of Strathlyde and some industries

Summer Intern at Addverb Technologies

Date: May - August 2019 (Second year of B.Tech)

Mentors: Mr. Manish Jha, Mr. Vikash Kumar

  • Implemented path planning and path tracking for mobile robots

  • Studied and simulated the “Pure pursuit” algorithm for autonomous vehicle’s path tracking to differential driven sorting robot in Gazebo-ROS using nodes written in Python

  • Integrated a code for robot’s smooth velocity profile to reduce the jerk in the above implementation

  • Created a template code for Heat map, based on robot’s position to generate weights for “A-star” algorithm-based path planning to avoid collision between 300 robots working together

  • Mastered ROS framework, Networkx module for Python, object-oriented programming and threading in Python and simulation software like Rviz and Gazebo

  • Gained exposure to industry 4.0 automation and projects of many multinational companies and startups in this field while attending Indian Warehouse Show-IWS 2019 as a member of Addverb Technologies

Summer Intern at ONGC

Date: May - August 2018 (First year of B.Tech)

Mentor: Mr. Krishnan

  • Studied electrical machines and transmission equipment used at Hazira plant of ONGC

  • Prepared a report on power requirements of plant, power generated at the plant using Gas turbine generators, power supplied by the plant to the grid

  • Also studied stepping up and down the voltages at substations and their control

  • Acquired exposure to industries so that I can work on my research projects more accurately and they can be useful to the society

Travel Fellowship

Availed explorers fellowship offered by IIT Gandhinagar

Date: May - August 2018 (First year of B.Tech)

  • Spent 47 days, travelling continuously in the budget of 37,800Rs.(532$) and visited around 38 places all over India on the theme "unexplored India"

  • Explored 10 unique unexplored places of India inluding Hampi, Majuli, Rumtek etc. and wrote a blog on it to make people aware about this treasure of India

  • Won 2nd prize in the same fellowship for the blog writing

Positions of responsibilities

Teaching Assistant, Faculty Development Program in Machine Learning

Date: January 2021

  • Helped more than 45 faculties from all around India in learning the basics of Python and Data science

  • Created Jupyter notebooks demonstrating basic tutorials of Python and its different libraries

Teaching Assistant, NLP course, IIT Gandhinagar

Date: August - December 2021

  • Initiated two NLP projects "Bhagavad Gita based chatbot for ethical dilemma question-answering" and "AI framework to generate jokes along with GIFs", and mentoring two groups on these projects

  • Framed questions, graded them and provided Prof. Mayank Singh logistic support needed

Academic discussion hours mentor, electronic devices course, iit Gandhinagar

Date: August - December 2021

  • Guided students on their queries related to Electronic Devices course as a part of Earn While You Learn initiative of IITGN to promote Peer Assisted Learning

Secretary, Media and PR cell, iit Gandhinagar

Date: May 2019 - August 2020

  • Leading a team of 10 members including content writers and photographers

  • Increased the reach of the IIT Gandhinagar Student life Facebook page(with 5000+ followers) by 20% by posting regularly about the activities going on in the campus and making people aware of it

  • Coordinated with Chief Editor of newspaper “Pal Pal”, Mr. Surendra Bhatia to cover salient features of the campus in media platforms like newspapers, as well as YouTube and news blogs

Event organiser, Amalthea '18, iit Gandhinagar

Date: January - October 2018

  • Organised two events, Roboquest and Drift in Amalthea ’18 successfully which were also covered in reputed newspapers like Times of India, which built leadership quality and spirit of teamwork in me

  • Coordinated with other 80 team members from different departments to successfully organize the event

Member, Professional Developement COuncil, iit Gandhinagar

Date: March 2019 - April 2020

  • Organised soft-skills workshop for the student community

  • Compiled and systemized interview preparation material

  • Leading the focused group of robotics at IIT Gandhinagar to bring together like-minded people and provide them necessary resources

A-League co-ordinator, iit Gandhinagar

Date: May 2019 - May 2020

  • Coordinating with representatives of other prestigious colleges of Ahmedabad and Gandhinagar like IIM Ahmedabad, DAIICT, PDPU, NID etc. for various events and activities

  • Acting as a point of contact between IIT Gandhinagar and other colleges to provide the student community with relevant and helpful information from other colleges