Experience

Graduate Student Researcher, Qualcomm Institute, UC San Diego
July - September 2023

• Conducted experiments with sequential deep learning models for generating music, using PyTorch and OpenAI Jukebox.
• Continuing the project to extract 'information rate' from the models to be used in a reinforcement learning algorithm that can enable near real-time improvisation of musical pieces.

Research Intern, Caltech
May - July 2021

• Developed machine learning models with TensorFlow to identify the species present in low-biomass metagenomic samples and achieved a classification accuracy of around 81%.

Teaching Assistant, Data Structures and Algorithms-I, IIT Gandhinagar
Aug - Dec 2020

• Delivered guest lectures on C programming, linked lists, tree traversal, and coding problems.
• Designed coding questions and tested solutions for course assignments and quizzes.

Research Intern, Indian Institute of Science (IISc), Bangalore
May - June 2020

• Worked on data visualization and parameters for a data-driven partial differential equation based model of COVID-19 infections using Python, Numpy, Pandas and Plotly.
• Developed a webpage to display the results of the model using JavaScript, HTML, and CSS. The webpage included time-series plots using FusionCharts.js and choropleth maps using Leaflet.js.

Application Developer, InsIIT: An all-in-one app for IIT Gandhinagar students
May - June 2020

• Developed the InsIIT App, using Flutter, under Students' Summer Online Projects (SSOP) 2020 at IIT Gandhinagar.
• Implemented the campus map feature using the Google Maps and Sheets APIs which enables users to search for, read about, and get directions to their desired location.

Co-inventor, FoodBuddy: An assistive dining device for the disabled, Invent@IITGN
May - June 2019

• Invented a voice-controlled robotic device that assists people with arm disabilities to eat independently.
• Achieved more than 1000% cost reduction from existing solutions. Enhanced portability and user experience.
• Filed provisional patent applications for the invention in India (IN201941027110) and USA (US62912080).

Skills

Languages

Python C++ C JavaScript SQL Go Dart HTML CSS Bash LaTeX

Software Development Tools

React Node.js Express MongoDB Flutter Flask MySQL PyQt5 Linux

Machine Learning and Data Science Tools

PyTorch TensorFlow Numpy Pandas Scikit-learn OpenCV-Python Plotly AWS SageMaker

Design Tools

Adobe Illustrator Adobe After Effects Adobe Photoshop Autodesk Inventor Autodesk Fusion 360

Projects

Research Intern, California Institute of Technology
May - July 2021

• Developed machine learning models with TensorFlow to identify the species present in low-biomass metagenomic samples and achieved a classification accuracy of around 81%.