Tejas Ghodke

Cincinnati, OH | (513) 537-3591 | ghodketg@mail.uc.edu

Education

University of Cincinnati - Bachelor of Science in Computer Science — Graduation: May 2027

Dean’s List: Summer ’23, Fall ’23, Summer ’24, Fall ’24
Relevant Coursework: Design and Analysis of Algorithms, Software Engineering, Database Design and Development, Probability and Statistics, Web Applications and Hacking

February 2024 – April 2024
Junior Intern

Designed and implemented an advanced Python program using SpaCy and pandas to extract, parse, and organize specific data from large 5,000-word documents into formatted Excel spreadsheets for streamlined analysis
Benchmarked against the previous internal tool, the new SpaCy-based program demonstrated a 25% speed improvement and 12% higher accuracy on a 10,000-page dataset, ensuring more reliable classification, structured representation, and seamless integration across the entire data pipeline infrastructure
Demonstrated advanced problem-solving by designing a fully automated, scalable data pipeline that streamlined extraction, sorting, and presentation workflows, with outputs directly integrated into dynamic Power BI dashboards for enhanced data visualization accuracy and overall analytical efficiency

May 2023 – Present
Aquatics Supervisor

Demonstrated proactive leadership within a diverse lifeguard team consisting of more than 60 lifeguards by fostering a collaborative, inclusive, and high-performance environment, and by providing ongoing mentorship, support, guidance, and constructive performance feedback to both new and veteran staff members
Ensured full emergency preparedness by implementing detailed safety protocols, guiding lifeguards through drills, and delivering immediate, hands-on response during real-time incidents to safeguard all patrons and staff

April 2024 – July 2024
Personal Project (Flutter, Dart, Android Studio, VScode, Github, Canva)

Built an interactive mobile tic-tac-toe game using Flutter, featuring 10+ custom UI components and animations, developed over 8 weeks to showcase advanced app development and dynamic game logic
Implemented an advanced Player vs. AI mode with 3 adaptive difficulty tiers, based on user performance, and a responsive UI tested across 4 device sizes to ensure consistency and maximize user experience
Demonstrated strong proficiency in Dart and object-oriented programming by leveraging Flutter’s widget system, libraries, and best practices to build a polished, scalable, and visually engaging mobile game experience

January 2025 – March 2025
Personal Project (Anaconda, PyTorch, Pygame, Scikit-learn, matplotlib, Reinforcement Learning, DQN, CUDA)

Developed a reinforcement learning agent that autonomously plays Snake by optimizing decisions through trial-and-error, achieving ~300% average score improvement across 10,000+ episodes via reward-based strategy refinement
Configured isolated Anaconda environments to manage over 15+ dependencies, ensuring reproducible model training and seamless switching between experimental configurations across multiple testing platforms
Trained the DQN-based agent over 10,000+ episodes using GPU acceleration via an RTX 5070 Ti (16 GB GDDR7), significantly reducing training time, and visualized performance trends (reward progression, survival time, convergence) using matplotlib and scikit-learn to support iterative model optimization

Programming: Python (Certified), Java (OCAJP) SE 8, C/C++, HTML and CSS, PHP, MATLAB, Dart, SQL, R, JavaScript

Operating Systems: Linux (multiple flavors), Windows, MacOS, Android, iOS, and ChromeOS

Tools and Software: SpaCy, Pytorch, Git, Anaconda, Docker, Android Studio, MySQL, CUDA, LabView, MS Azure, VMs

Available for COOP in Fall 2025