Hi, I am Vighnesh Budharapu

Graduate student in Computer Science with hands on experience in computer vision, autonomous systems, and full stack development

Resume

Projects

About

Computer Vision Engineer

Graduate student in Computer Science with hands on experience in computer vision, autonomous systems, and full stack development. Experienced in building end-to-end CV pipelines from algorithm development to production deployment using ROS2 and cloud platforms. Seeking full-time, internship, or co-op opportunities in Computer Vision engineering and software development

Technical Skills

Programming Languages

Python, C, C++, SQL, JavaScript, HTML/CSS, MATLAB

Programming Languages

Python, C, C++, SQL, JavaScript, HTML/CSS, MATLAB

Frameworks and Libraries

ROS2, TensorFlow, YOLOv8, OpenCV, Scikit-learn, NumPy, Pandas, Matplotlib, Flask

Frameworks and Libraries

ROS2, TensorFlow, YOLOv8, OpenCV, Scikit-learn, NumPy, Pandas, Matplotlib, Flask

Tools and Platforms

Framer, Git/GitHub, Docker, Jupyter, Gazebo, GeoServer

Tools and Platforms

Framer, Git/GitHub, Docker, Jupyter, Gazebo, GeoServer

Cloud and Databases

Google Cloud Platform (Firestore, Cloud Functions), PostgreSQL, Firestore

Cloud and Databases

Google Cloud Platform (Firestore, Cloud Functions), PostgreSQL, Firestore

Operating Systems

Linux/Ubuntu

Operating Systems

Linux/Ubuntu

Focus Areas

Computer Vision, Image Processing, Machine Learning, Autonomous Systems, Parallel Computing, ETL Pipelines

Focus Areas

Computer Vision, Image Processing, Machine Learning, Autonomous Systems, Parallel Computing, ETL Pipelines

Experience

Research Assistant (Computer Vision)

Network Sesing System Labs, RIT

September 2025 - Present

● Developing low cost camera based alternative to Hawk-Eye ball tracking technology for sports analytics applications ● Trained ML object detection models on annotated sports footage for high-speed ball detection ● Implemented homography based projection algorithms using OpenCV and Python, achieving 98% accuracy in camera to field coordinate transformation ● Applied Kalman and particle filters to smooth and interpolate ball trajectories, ensuring robust tracking through occlusions and missed detections ● Currently engineering real time ball trajectory reconstruction system by tracking 3D position from 2D camera coordinates

Research Assistant (Computer Vision)

Network Sesing System Labs, RIT

September 2025 - Present

Research Assistant (Computer Vision)

Network Sesing System Labs, RIT

September 2025 - Present

Computer Vision Intern

InfiCorridor Solutions Pvt. Ltd., India

October 2023 - August 2024

● Led a team in developing a GIS-based tool for urban forest management, integrating YOLOv8 and image processing techniques to enhance tree detection and health assessment ● Designed slope based region growing algorithm improving tree detection accuracy from 40% to 85% in dense regions and 95% in sparse areas ● Built interactive WebGIS platform using Flask, PostgreSQL, and GeoServer for spatial data visualization and management

Computer Vision Intern

InfiCorridor Solutions Pvt. Ltd., India

October 2023 - August 2024

Computer Vision Intern

InfiCorridor Solutions Pvt. Ltd., India

October 2023 - August 2024

Education

Rochester Institute of Technology

Masters in Computer Science
(Expected December 2026)

Relevant Courses:

Foundations of Computer Vision, Foundations of AI

Big Data Analytics, Foundations of Big Data

Projects

Autonomous Search and Rescue Drone System

Real Time Fraud Detection System

GIS Based Automated Tool for Urban Forest Management using UAV Data

Attendance Management System

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Recognition

Summa Cum Laude

Vidyalankar Institute of Technology

Publications

Discover All

Urban Tree Mapping and Individual Canopy Demarcation for Forest Resource Management Using Very High Resolution UAV Data

Automated UAV-based tool for urban forest tree monitoring using machine learning and image processing

Hi, I am Vighnesh Budharapu