Hello! I'm Amitej Bhongiri, a computer science student with a deep passion for technology and innovation. Currently studying at the University of California, Davis, I am dedicated to learning and applying the latest advancements in software development, artificial intelligence, and machine learning.
Coding Languages and Frameworks
Total Projects
Year of Experience
July 2024 - August 2024
Software Engineer and Researcher
Atlanta, Georgia
June 2023 - August 2023
Software Engineer
Barcelona, Spain
June 2021 - August 2021
Software Engineer
Atlanta, Georgia
August 2022 - June 2025
Technology Director
Davis, California
August 2023 - June 2024
Project Developer
Davis, California
Python, OpenCV, YOLO
HTML, CSS, JS, GROK
MySQL, Python, Flask
Highlighting diverse experiences in software development and machine learning, gained through internships and real-world applications
As a Software Research Intern , I focused on enhancing Customer Relationship Management (CRM) systems. My work involved analyzing existing CRM technologies, identifying their strengths and weaknesses, and proposing innovative solutions using AI and machine learning to automate tasks, provide insightful analytics, and improve user interaction, ultimately making CRMs more efficient and user-friendly.
As a Software Developer Intern, I utilized TensorFlow and OpenCV to enhance computer vision through advanced image processing techniques. I also engaged in the mechanical design of electrochemical devices, specifically optical filters for infrared detection, and optimized a region-based convolutional neural network (CNN) to improve image identification.
In this role, I pre-processed multiple resume datasets to ensure consistency and quality for model training. I explored machine learning algorithms and methodologies, creating predictive models for resume ranking, and achieved a 45% accuracy in model training.
I led a dynamic team to design and implement an AI chatbot project with a 72% response accuracy. This role involved project management, agile methodologies, and version control systems (e.g., Git), ensuring efficient communication and task delegation within the team.
As a projects member of Neurotech@Davis, I have been deeply involved in research concerning the intersection of neuroscience and technology. Our projects focus on using brain-computer interfaces (BCIs) and machine learning algorithms to analyze brain wave patterns and understand fear responses. This role has honed my skills in data analysis, EEG data processing, and the practical applications of neuroscience in technology.
Showcasing innovative projects where I've applied my skills in software development, machine learning, and computer vision to solve real-world problems.