About Me

Python Developer focused on AI and Django. Skilled in Python, AI development, and building robust web applications. Dedicated to continuous learning and staying updated with the latest industry trends and technologies. Eager to contribute to innovative software solutions and work collaboratively in a team environment.

Skills

Experience

Education

  • Programming Languages
    Python, Java, JavaScript, C, R, Shell Script
  • Frontend
    HTML, CSS, JavaScript, Jinja Coding
  • Libraries / Frameworks
    TensorFlow, Keras, LlamaIndex, Ollama, OpenCV, Sklearn, Django, Numpy, Pandas
  • Tools / Platforms
    Kaggle, Google-Colabs, Git, GitHub, AWS, Figma
  • Databases
    SQL, Oracle, MySQL
  • Python Developer
    Focused on AI and Django, proficient in building robust web applications. Developed a face recognition application with VGGFace architecture and a comprehensive college resource management system.
  • AI Developer
    Engineered AI models for facial recognition and document-based Q&A systems, leading to high accuracy and improved system performance.
  • Full-Stack Developer
    Expert in Django-based web development with integrated AI functionalities, including user authentication and chatbot assistants for enhanced user interaction.
  • Bachelor of Technology (B.Tech)
    Computer Science and Engineering - Specialization in AI & Machine Learning
    Institution: Vasireddy Venkatadri Institute of Technology, Guntur
    CGPA: 8.60
    Duration: 2021 - 2025
    Current Semester: 7th
  • Class XII
    Science Stream
    Institution: Narayana Junior College, Andhra Pradesh Board of Intermediate Education
    Percentage: 92.2%
    Duration: 2020 - 2021
  • Class X
    General Education
    Institution: Narayana English Medium School, Andhra Pradesh Board of Secondary Education
    CGPA: 9.7/10 (92.15%)
    Duration: 2018 - 2019

certification

Programming


    Python

  • Kaggle
  • SoloLearn
  • HackerRank
  • GUVI

    Java

  • NPTEL (ELITE)

AI&ML


    Machine Learning

  • Coursera
  • Kaggle
  • Microsoft
  • IBM

    Deep Learning

  • Kaggle
  • NPTEL
  • OpenCVUniversity
  • IBM

Miscellaneous


    Google Skill Boost

  • Profile

    Data Science

  • NPTEL (ELITE+🥈)

    Django

  • Microsoft
  • Udemy

Latest Projects

Document Query AI Agent

DESCRIPTION: Created a sophisticated AI agent for document-based Q&A , utilizing some popular LLMs for cuttingedge natural language processing. Integrated Llama Indexing for efficient data retrieval and robust document parsing within an intuitive user interface.


TECHNOLOGY: LlamaIndex | HuggingFace | Gradio


  • Combined HuggingFace embedding generation and a resilient query retry mechanism, boosting data accuracy and system reliability.
  • Demonstrated deep expertise in deep learning and real-time data processing, significantly improving system performance and user experience.

FACE RECOGNITION VGGFace

DESCRIPTION: Developed a face recognition application utilizing the VGGFace architecture with TensorFlow, attaining exceptional accuracy on a bespoke 31-class dataset. Launched the system through Django on an online server, showcasing advanced capabilities in artificial neural networks and computer vision.


TECHNOLOGY: Tensorflow | Keras | OpenCV | Gradio


  • Mastered creating custom datasets using OpenCV, organizing training and test sets, and achieving 97.86% accuracy.
  • Trained deep learning models for image classification, leading to the publication of two papers in peer-reviewed journals focusing on advancements in facial recognition technology.

SCRAM

DESCRIPTION: Engineered a robust, secure Django-based system for comprehensive college resource and access management, incorporating advanced features such as user management, complaint registration, and a chatbot assistant. Seamlessly integrated Gemini-Pro LLM with Google API and introduced face recognition technology for enhanced attendance tracking.


TECHNOLOGY: Gemini-pro (LLM) | Django | Tensorflow | Keras | OpenCV


  • Devised robust user authentication and 2-FS password authentication, enhancing system security and reliability.
  • Led the project team, developing comprehensive Django templates and seamlessly integrating custom chatbot functionalities using LLM.

Object Segmentation

DESCRIPTION: Developed a versatile Python script leveraging OpenCV and scikit-image for advanced image processing tasks, including object segmentation using YOLOv8. Implemented functionalities such as grayscale contrast enhancement, image similarity measurement (SSIM), and object detection (YOLO).


TECHNOLOGY: YoloV8 | OpenCV | Sklearn


  • Engineered robust image processing capabilities with detailed evaluation and visualization of results, demonstrating significant improvements in processing accuracy and efficiency.
  • Planned future integration of advanced deep learning models to expand functionality and further enhance system performance.
Portfolio Image

Personal Portfolio Website

DESCRIPTION: Created a responsive portfolio website using HTML, CSS, and JavaScript, focusing on strong UI/UX. Published the site on GitHub Pages for global access. The site includes sections like Home, About, Services, Portfolio, and Contact to showcase my skills and projects.


TECHNOLOGY: HTML | CSS | JavaScript | GitHub Pages | EmailJS | Tidio AI Chatbot


  • Added a contact form with EmailJS for easy communication and an AI chatbot (Tidio's Lyro) to engage users and provide more details about me.
  • Used AI-generated images to create unique visuals and personalize the portfolio.
  • This project sparked my interest in web development, turning my initial reluctance into excitement for building dynamic websites.

MNIST: CNN Architectures Comparison

DESCRIPTION: Compared deep learning architectures like LeNet, AlexNet, ZFNet and VGG16 for digit recognition, achieving 99.55% accuracy using transfer learning. Applied CNNs effectively for image recognition tasks. Optimized training with data preprocessing and learning rate scheduling.


TECHNOLOGY: Python | TensorFlow | Keras | CNN


  • Achieved high accuracy with AlexNet and LeNet architectures on the MNIST dataset.
  • Utilized transfer learning to enhance model performance.
  • Applied data preprocessing and learning rate scheduling techniques to optimize training.
Repository Image

Academic Labs and Projects Repository

DESCRIPTION: This repository contains academic lab work, additional learnings, and basic projects. Created during my second year of B-Tech, it showcases various resources to help students learn and practice skills in subjects like programming, Django, and Machine Learning. I'm grateful to my HOD for introducing me to version control systems and GitHub.


  • Provides resources for students to enhance their skills in programming, Django, and Machine Learning.
  • Includes examples of simple projects for students to practice and improve their understanding of various subjects.
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Contact Me

bandreddysarathchandra@gmail.com

+91 6305419947

Download Resume

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