About Myself

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.

6

Coding Languages and Frameworks

8

Total Projects

1

Year of Experience

HTML/CSS

C++

Python

JavaScript

Java

  • July 2024 - August 2024

    AiResults

    Software Engineer and Researcher
    Atlanta, Georgia

  • June 2023 - August 2023

    Mapsi Photonics

    Software Engineer
    Barcelona, Spain

  • June 2021 - August 2021

    Softpath Systems

    Software Engineer
    Atlanta, Georgia

  • August 2022 - June 2025

    Google Developer Student Club

    Technology Director
    Davis, California

  • August 2023 - June 2024

    Neurotech @ Davis

    Project Developer
    Davis, California

  • Python, OpenCV, YOLO

    Object Recognition

  • HTML, CSS, JS, GROK

    Chess with AI

  • MySQL, Python, Flask

    Stock Market Analyzer

My Experiences

Highlighting diverse experiences in software development and machine learning, gained through internships and real-world applications

AiResults

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.

Mapsi Photonics

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.

Softpath Systems

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.

Google Developer Student Club

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.

Neurotech@Davis

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.