About

I am deeply passionate about Artificial Intelligence and Machine Learning, with a strong interest in building intelligent systems that solve real-world problems. The ability to empower machines to learn, recognize patterns, and make predictions fascinates me and fuels my commitment to this field.

With hands-on experience in computer vision, deep learning, and real-time applications, I am focused on creating practical AI solutions—from fitness assessment tools to object detection systems. I strive to keep learning, innovate beyond limits, and contribute meaningfully to the evolving landscape of AI and ML.

What I’m currently learning and working on

  • machine learning icon

    Machine Learning

    Building scalable and efficient ML models to solve real-world problems and derive insights from data.

  • Deep Learning icon

    Deep Learning

    Applying CNNs and neural networks to solve complex tasks like handwritten recognition and satellite segmentation.

  • computer vision icon

    Computer Vision

    Developing intelligent vision-based systems for object detection, fitness tracking, and imagery analysis.

  • Technical knowledge icon

    Technical Knowledge

    I design and implement innovative AI projects by integrating technologies such as CNN, YOLO, U-Net, image segmentation, object detection, generative AI, and prompt engineering to deliver impactful real-world solutions.

Resume

Education

  1. JB Institute Of Engineering and Technology

    2021 — 2025

    B.Tech in Artificial Intelligence and Machine Learning | CGPA: 7.50

  2. Gayatri Junior College, Hyderabad

    2019 — 2021

    Intermediate XII in MPC | CGPA: 8.68

  3. Sri Gayatri e-techno School, Hyderabad

    2019

    Secondary Education | CGPA: 9.0

Experience

  1. Machine Learning Developer | Tenali’s Sports Tech Pvt. Ltd

    Project: Fitness Assessment Training using AI | May 2024 – Aug 2024

    • Developed CV system analyzing 100+ real-time exercise videos with rep counting and posture correction.


    • Automated email reporting for weekly summaries, improving user engagement.


    • Skills: Python, OpenCV, MediaPipe, Pose Estimation, Automation, Machine Learning.

  2. Machine Learning Intern | Teachnook Pvt. Ltd

    Project: Satellite Imagery Prediction & Analysis | Jan 2024 – Apr 2024

    • Applied U-Net on 1152+ annotated satellite images, reaching 85% IoU.


    • Aided planning and disaster response using semantic segmentation of urban areas.


    • Skills: Python, Keras, U-Net, Semantic Segmentation, Deep Learning.

  3. AI Intern | Verzeo (SmartKnower) Pvt. Ltd

    Project: Image Classification & Handwritten Digits Recognition | Sep 2023 – Dec 2023

    • Built CNN for CIFAR-10 (78% accuracy) and MNIST (98.08%) with GUI using Tkinter.


    • Implemented real-time image prediction with live input.


    • Skills: Python, TensorFlow, Keras, CNN, Tkinter, GUI Development, Machine Learning.

Projects

  1. Voice-Vision-Hand Controller Mouse

    April 2025 – April 2025

    • Developed a smart desktop controller using eye tracking, voice commands, and hand gestures for full mouse functionality.


    • Used LSTM architecture on eye movement data for smoother interaction.


    • Achieved over 80% precision in real-time environments.


    • Skills: Python, LSTM, OpenCV, MediaPipe, Dlib, Speech Recognition, Eye/Hand Tracking, HCI, Deep Learning.

  2. LeYOLO: Scalable and Efficient CNN for Object Detection

    March 2025 – March 2025

    • Hybrid model integrating YOLO, RetinaNet, and EfficientDet, reaching 92.3% accuracy & 85% F1-score.


    • Reduced FLOPs by 42%, achieving 64 FPS on edge devices.


    • Skills: Python, OpenCV, CNN, FPN, Hybrid Activations, Deep Learning.

My skills

  • Python
    80%
  • Machine Learning/Deep Learning
    70%
  • Computer Vision
    70%
  • Generative AI & Prompt Engineering
    60%

Publications & Research

  1. LeYOLO: A New Scalable and Efficient CNN Architecture for Object Detection – IJETRM (Publication)

  2. Fitness Assessment Vision with AIML: AI-powered workout tracking using OpenCV. (Research)

Certifications