About Me

A driven Computer Engineering major with a Mathematics minor at the University of Illinois, I am passionate about using technology to address real-world challenges. With a focus on database systems and cloud computing, my journey in computer engineering has been enriched by rigorous academics, practical internships, and impactful projects, all aimed at creating innovative solutions.

Skills

Education

  • Languages & Frameworks: Java, Python, C/C++, SQL, JavaScript, HTML/CSS, React, Node.js, Flask, Django, FastAPI
  • Developer Tools: Git, Docker, Kubernetes, Google Cloud Platform, AWS, Visual Studio, PyCharm, IntelliJ IDEA, Eclipse
  • Interests: AC Milan, Game Design, Formula 1, Digital Art, Puzzles, Hiking, Biking, Muay Thai, Swimming, Cooking
  • University of Illinois at Urbana-Champaign: Bachelor of Science in Computer Engineering, Minor in Mathematics (Aug. 2022 – May 2026)
  • Relevant Coursework: Data Structures and Algorithms, Discrete Structures, Database Systems, Analog Signal Programming, Linear Algebra, Computer Systems and Programming

Tech Stack

Languages

  • C
  • C++
  • HTML5
  • Java
  • JavaScript
  • Python
  • CSS3

Tools

  • AWS
  • Google Cloud
  • Docker
  • Kubernetes
  • Git
  • VS Code
  • IntelliJ IDEA

Libraries

  • Keras
  • Matplotlib
  • NumPy
  • Pandas
  • PyTorch
  • Scikit-learn
  • SciPy
  • TensorFlow
  • React
  • Node.js
  • Express

My Projects

Political Twitter Sentiment Analysis

Developed a sentiment analysis system for political tweets using Python and Natural Language Processing (NLP) techniques. Implemented machine learning algorithms to classify sentiments and provide insights into public opinion on political topics. Utilized libraries such as NLTK, scikit-learn, and pandas for data preprocessing, feature extraction, and model training.

Stock Prediction Model

Engineered an interactive web application using Streamlit to predict stock prices. Employed advanced machine learning techniques, including a neural network model trained with TensorFlow and Keras, to achieve high predictive accuracy. Integrated real-time stock data using the yfinance API and utilized scikit-learn for data preprocessing. Developed visualizations with Matplotlib to compare actual and predicted stock prices, providing actionable insights.

Full Stack E-Commerce Website

Architected a scalable e-commerce platform using the MERN stack (MongoDB, Express, React, Node.js). Implemented key features including user authentication, product listings, and a shopping cart. Designed a responsive front-end with React to enhance mobile user interaction. Optimized backend performance with Node.js and Express, and implemented efficient data storage with MongoDB. Deployed the application on Google Cloud, ensuring high availability and scalability.

See More

Contact me

mballae2@illinois.edu

+1 (447) 902 2679

Copyright © Mithesh Ballae. Website built using HTML, CSS and JS.