Computer Engineering Student

BHUVANA TUMMALACHERLA

502-***-**** # ********************@******.*** ï Linkdin

Technical Skills

Programming Languages: C/C++, Python, ARM Assembly, Java, HTML, CSS Courses and Certifications: Introduction to Gen AI (Google Cloud), Outskill Generative AI Mastermind Education

University of Texas at Austin Austin, TX

Bachelor of Engineering in Electrical and Computer Engineering, 3.67 GPA Expected May 2028

• Relevant Coursework: Intro to Computing, Intro to Electrical Engineering, Embedded Systems Experience

Humana May – Sep 2023

End User Computing Intern, Louisville, KY

• Resolved over 150 end-user hardware and software issues per month, including desktops, laptops, and mobile devices.

• Delivered exceptional customer service and maintained a high CSI score by effectively supporting IT professionals at all levels, from developers to IT directors and AVPs, showcasing strong communication skills and a commitment to resolving complex issues.

• Assisted in the deployment and configuration of software applications for 500+ employees, including Google Chrome, Microsoft Office, Zoom, Visual Studio, SOAP UI,Toad, SQL, EliteConviva, Informatica PowerCenter on both Linux and Windows platforms through VDI, ensuring successful integration and reducing application-related downtime by 15%.

• Created and maintained a comprehensive knowledge base for common technical issues, improving team efficiency and contribution to decrease in resolution time by approximately 15%. Leadership Experience and Activities

IT For U Aug – Dec 2023

Coding Mentor, Louisville, KY

• Assisted 4+ groups of elementary/middle school students with coding projects, explained the impact and value of coding, and supported them through their presentation preparation for a panel of judges.

• Mentored students through the coding phase of building their projects, and coordinated with 5+ judges, including preparing rubrics and managing logistical aspects of the evaluation process. VEX Robotics April 2023

Lead Volunteer Louisville, KY

• Helped organize and execute 3+ robotics tracks/courses and workshops, including setup, participant coordination, and logistics management.

Governors School of Entrepreneurs June – Aug 2023

3rd Place Winners Highland Heights, KY

• Collaborated with a team in the Governor’s School of Entrepreneurs program at Northern Kentucky University to design an intuitive app concept for Alzheimer’s patients. Developed detailed wire frames and functional specifications for features that include interactive games, task management, reminders, and a driver booking interface.

• Coordinated with 4 other team members to integrate design elements and effectively communicate technical concepts.

• Delivered a compelling presentation of our design to a panel of judges and an audience of 300+ attendees, showcasing strong collaborative and public speaking skills in a competitive environment. Projects

Package Delivery Game – Embedded Systems Jan – Apr 2025 MSPM0 Microcontroller — C & Assembly ECE 319K, UT Austin

• Designed and implemented an interactive package delivery game on the Texas Instruments MSPM0 microcontroller using C for high-level game logic and ARM assembly for performance-critical routines.

• Interfaced LEDs for visual feedback and push-buttons for player input via direct register manipulation.

• Integrated hardware timers and interrupts to manage real-time event handling and game state transitions.

• Developed a finite state machine to control gameplay flow, including scoring, win/lose conditions, and timing mechanics. AI-Assisted CodeRefactor Tool June - Aug 2025

FastAPI, React, MongoDB, Python, Emergent.sh

• Developed a web-based code refactoring tool with React frontend and FastAPI backend, utilizing AI-assisted code generation to accelerate development and implement core features efficiently.

• Integrated PEP8-compliant linting, syntax parsing, and automatic code formatting using Python libraries like ast and autopep8. Designed a modular, scalable architecture that allows interactive suggestions and future AI-driven enhancements for code quality analysis and explanations.

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