KRISHNA GUPTA
Davis
Summary
A detail-oriented Computer Science student who has experience refining and developing artificial intelligence models for complicated research projects. This includes deep learning as well as conducting image analysis on such information. Established abilities in managing data, advanced analytics and utilizing relevant technologies to promote research results with a difference.
Overview
1
1
year of professional experience
Work History
Project Manager
Aggie Sports Analytics Club, UC-Davis
Davis
2023.09 - Current
- Led a team in developing an advanced badminton analysis model focusing on architectural design, deep learning, including live pose detection, shuttle trajectory tracking, and video pose detection
- Enhanced gameplay analytics by 20% through innovative features, recognized as one of the top three impactful projects in the club
- Applied Code reuse strategies and scalability principles to optimize model performance and streamline development
- Utilized skills in Python, TensorFlow.js, p5.js, ml5.js, PoseNet, Yolo-v8, OpenCV2, Pandas, NumPy, Matplotlib, Google Colab, and GitLab.
Research Developer(AI/ML)
Ailluminate UC Davis
2023.09 - Current
- Developed a cutting edge CNN architecture in Tensorflow by utilizing 2,30,000 images to analyze histopathology cancer cells, achieving AUC of 98%
- Emphasized architectural design and deep learning to ensure high performance and scalability in a production environment
- Utilized advance decision making techniques for data preprocessing and image augmentation.
Software Developer Intern
Golden Bird International, India
2024.06 - 2024.09
- Engineered LLM for text classification and generation focusing on scalability and efficient architectural design for summarizing stock data
- Contributed to reducing stock expiration by 30%, through optimized code reuse and effective decision making in stock management strategies
- Leveraged advanced technologies including Python, Google Palm API, Langchain, SQLDatabasechain, MySQL, SQL Workbench, Flask, React, Docker and Streamlit, Microsoft Visual Studio.
Web Development Intern
Trompar (Startup)
2023.07 - 2023.09
- Developed scalable UI components, backend services and databases using Flask, RESTful APIs, Flask SQLAlchemy, and MySQL
- Implemented design patterns and code reuse practices to improve efficiency and maintainability in a production environment
- Applied Decision making techniques to enhance user authentication, password encryption and overall backend architecture
- Enhanced user experience through innovative New Product Design, resulting in increased customer satisfaction.
Data Science Intern(AI/ML)
Indian Institute of Technology, Roorkee
2023.06 - 2023.09
- Developed a Machine Learning Model for diagnosing Facial Paralysis with 85% accuracy focusing on architectural design and deep learning
- Applied decision-making frameworks to select and fine-tune algorithms for optimal performance
- Managed dataset of more than 10000+ images and implemented code reuse for image preprocessing techniques using VGG16, VGG19, MT-CNN, KNN and dlib
- Contributed to defining analytical needs and system improvement strategies.
Education
BS - Computer Science
University of California Davis
Davis, CA06.2026
Skills
● Programming Languages: Python,Javascript,C,C++,HTML5,CSS,React.js,Next.js,HTML, SQL, NoSQL.
● Framework:TensorFlow, NumPy, Pandas, SciPy, matplotlib, NLTK, Tidyverse, Scikit-Learn, Sqlalchemy, SQLite, OpenCV, MongoDB, Vite, Mongoose, Node.js, React.js, Express.js,Flask,Firebase, Chroma-DB, Jira, Tailwind-CSS, LLM, MySQLWorkbench, Pytorch, Huggingface, Langchain, GooglePalm, PoseNet, OpenCV-2, YOLO-v8, ml5.js,Streamlit.
● Coursework: Object oriented programming, Data Structures and Algorithm and Machine Learning
● Tools: Google-Colab, Jupiter-Notebook, R-Studios, VS-code, Visual-Studio, GitHub, Asana, Atom, PyCharm.
Projects
Jobify
● Developed a full-stack job tracking and management application leveraging technologies such as React.js, Node.js, MongoDB, JWT, Axios.
● Emphasized scalability and code reuse in implementing secure user authentication and dynamic dashboard functionalities.
● Applied architectural design and design patterns principles to ensure efficient CRUD operations and maintainable code structure.
Hack Davis
● Led the development of a cutting-edge web application employing Python,CNN,DNN,YOLO-V8,Flask, Javascript,, React,Next.js,Vercel,streamlit
● Integrated a YOLO-v8 model with the CNN model to develop the cutting edge AI teeth detection software, focusing on architectural design, deep learning and scalability
● Implemented code reuse and decision making principles to develop an intuitive ML model for automatic image detection and classification of root canal diseases in x-ray image
Timeline
Software Developer Intern
Golden Bird International, India
2024.06 - 2024.09
Project Manager
Aggie Sports Analytics Club, UC-Davis
2023.09 - Current
Research Developer(AI/ML)
Ailluminate UC Davis
2023.09 - Current
Web Development Intern
Trompar (Startup)
2023.07 - 2023.09
Data Science Intern(AI/ML)
Indian Institute of Technology, Roorkee
2023.06 - 2023.09
BS - Computer Science
University of California Davis
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