About Me

I'm a rising junior at the University of Wisconsin-Madison, interested in Web Development, Machine Learning, and Data Science. I'm actively looking for an internship to gain practical experience (willing to relocate).

I'm majoring in Computer Science and Data Science with a minor in Consulting. My passion for technology spans across both academic and professional landscapes, driving me to continuously engage with the latest industry developments and broaden my technical abilities. I enjoy playing badminton and absolutely love dancing!

My Experiences

March 2024-Present

Computer Science Researcher at Wisconsin Institute for Discovery

Implemented various neural network architectures including multilayer perceptron and LSTMs using PyTorch to predict growth rate. The models error reduced by 98% while training. Automated the Buckingham pi theorem using NumPy and SymPy significantly boosting work efficiency and accuracy in calculations.

Developed a mechanistic model using the SciPy python library to generate various datasets. Extracted valuable statistical insights from the data through Pandas, NumPy, and Matplotlib, enhancing comprehension and visualization.

August 2023-Present

Junior Developer at the University of Wisconsin Madison

Utilized Adobe Creative Cloud to create educational content for delivery to a Learning Management System (LMS) and PostgreSQL for data analysis.

Recorded student data using MS Excel and conducted front-end testing and quality assurance checks for the LMS.

June 2023-July 2023

Software Development Intern at Premier Vigilance & Security Private Limited

Assisted in the modification of the company server application, based on the updated CRM and HR management module, having features like payroll, billing, and attendance, using Java, JavaScript, Node.js, and SQL database.

Performed routine data manipulations, API testing, and features like role-based access using JavaScript and Bootstrap.

Worked in the team of 15, under the CEO, to write 2000+ lines of code which, in turn, increased the response rate by 3 times and reduced salary-expenditure by 30%, saving the company $43,000+.

My Projects

Blog App: Sign in, Sign up and CRUD APIs using Ruby on Rails and MySQL

Ruby, Ruby on Rails, MySQL

Designed and developed a robust web application using Ruby on Rails framework, MVC architecture.

Implemented RESTful APIs using Rails conventions for the Article and Category resources. This allowed seamless integration with frontend components and enabled standard CRUD operations.

ActiveRecord ORM facilitated database interactions, abstracting SQL queries and simplifying data management.

Integrated Devise gem for user authentication, allowing secure Sign in and Sign-Up functionalities with JWT tokens for session management.

Enhanced user engagement with features like image upload, search, comments, likes, and filters, ensuring a dynamic and interactive platform for content consumption.

Music and Flight Explorer Application

Java, Data Structures, Algorithms, JUnit, VS Code, Git, Java FX

Developed a Java application that combines a song searching feature and a Flight Router functionality.

For the song searching part, the application reads data from a CSV file, inserts them into a Red-Black Tree, and enables various functionalities through an interactive loop in the frontend. The application was tested using JUnit for robustness.

Additionally, the application incorporates a Flight Router feature using Dijkstra's algorithm, allowing users to find the shortest sequence of flights between airports. The data is loaded from any Dot file specified by the user. JavaFX was utilized to create an interactive and visually appealing frontend for the application, enhancing user experience.

CNN (LeNet-5) for scene recognition

PyTorch

Developed a Convolutional Neural Network (CNN) model architecture, specifically LeNet-5, using PyTorch for scene recognition tasks. Experimented with various hyperparameters such as batch size, learning rate, and number of epochs during the training process. This exploration aimed to enhance the model's accuracy and convergence speed, demonstrating proficiency in hyperparameter tuning techniques.

Utilized PyTorch's built-in profiler to conduct in-depth analysis of the model's runtime behavior and memory usage. This profiling helped identify and address bottlenecks, optimizing the model's efficiency for better performance.

Skills

Programming Languages

Python

JavaScript

Ruby

HTML & CSS

Java

Tools & Technologies

Git

MongoDB & PostgreSQL

AWS

React

Node.js

PyTorch

Soft Skills

Team Leadership

Problem Solving

Communication

Project Management

Let's get in touch!

Email: sssingh4@wisc.edu | Phone: +1 (346) 521-9034