Bharat Pullela +1-224-***-**** ad4k9m@r.postjobfree.com LinkedIn

Education

University of Illinois - Urbana-Champaign

B.S. in Computer Engineering — GPA: 3.73 Aug. 2022 – May 2025 Coursework: Computer Systems Engineering, Digital Systems Laboratory, Digital Signal Processing, IoT and Cognitive Computing, Data Structures and Algorithms, Computer Systems and Programming, Analog Signal Processing, Introduction to Computing, Introduction to Electronics

Professional Experience

CNH Industrial

Software Engineering Intern May 2023 – Present

Developed over 100+ User Defined Widgets; used QML for front end devlopment and C++ for back end functionality.

Built a standardized, configurable QML template accelerating the development of 350+ UDWs.

Developed backend functionalities in C++ for alerts, mode changes, and real-time screen updates.

Collaborated with the UI/UX team to optimize designs.

Adhered to Agile methodologies, participating in bi-weekly sprints, and employing Scrum practices. Easy Solutions

Information Technology Intern May 2022 – Aug. 2022

Engineered a C++ service enabling remote control of smart locks via a React-based mobile application.

Implemented a dashboard displaying lock status for Admin users.

Utilized Azure for secure cloud communication and data storage; uploaded the app to the App Store. Torus Security Systems

Information Technology Intern May 2022 – Aug. 2022

Contributed to the development of a C++ BLE service on Yocto embedded Linux for cabinet access control.

Built a React application for login, status checks, and viewing owned cabinets. Projects & Outside Experience

Operating System Core Development

Developed core functionalities of a Unix-based operating system, including processor initialization, memory management (paging), and device drivers for terminal and real-time clock.

Implemented a custom read-only file system, supporting file navigation and operations, enhancing data management and accessibility.

Engineered system call interface for process management, file operations, and inter-process communication, facilitating multitasking and efficient resource allocation.

Supported user-level program execution, including dynamic loading and task management, enabling seamless user interaction and application execution.

Integrated advanced functionalities such as round-robin scheduling and multi-terminal support, improving system responsiveness and usability.

Music Party

Developed a Django and React web application allowing users to listen to songs being played of Spotify via Spotify API with others.

Orchestrated user authentication and secure authorization through Spotify OAuth 2.0.

Managed playback functionalities and established real-time chat using WebSockets (Django Channels). Raspberry Pi-based Face Detection and Recognition System

Developed a Convolutional Neural Network for real-time face detection and recognition using TensorFlow on a Raspberry Pi 4, achieving over 95% accuracy and implementing MTCNN for face detection.

Integrated the system with PiCamera for live image capture and processing, successfully demonstrating face recognition capabilities with a 98% effectiveness rate in identity verification. Skills

Languages: Python, C/C++, Java, Go, JavaScript, HTML/CSS, SQL, x86, Swift, QML Frameworks & Tools: Flutter, Django, Node.js, React.js, Git, Microsoft Azure, Figma, Linux/Unix, Bootstrap, TensorFlow, Keras, Xamarin, Docker, Raspberry Pi, NumPy, Pandas, Matplotlib

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