Vamsi Poliparthi
Full Stack Developer | Machine Learning Enthusiast
Computer Science Engineering student at MVGR College of Engineering, specializing in the development of scalable web applications and advanced AI/ML technologies. Proficient in Django, Flask, and data science tools, with professional experience as a part-time AI Research Intern at Kapil Agro, Hyderabad.
Technical Skills
Programming
Web Development
Databases
Data Science
Concepts
Tools
Education
B.Tech in Computer Science and Engineering
MVGR College of Engineering, Vizianagaram, India
Expected Graduation: May 2026 | GPA: 7.8
Intermediate (MPC)
Narayana Junior College, Vizag, India
Graduation: May 2022 | GPA: 90.2%
Secondary School Certificate (SSC)
Sri Chaitanya School, Vizianagaram, India
Graduation: April 2020 | GPA: 98%
Experience
AI Research Intern (Part-Time)
Kapil Agro, Hyderabad, India
May 2024 - June 2024
- Developed AI solutions for mango tree disease prediction using CNN models.
- Built models for mango tree detection in images/videos using YOLO frameworks.
- Created and annotated datasets for mango tree disease detection.
- Curated proprietary datasets to improve model accuracy.
- Supported deep learning-based disease classification for regional agriculture.
- Assisted in dataset enhancement, model training, and AI deployment.
Certifications
Projects
Vehicle Rental System
Developed a Django-based vehicle rental platform with custom authentication, booking system, and real-time pricing. Integrated SQLite database with Django ORM for efficient data management.
Telemedicine Platform
Full-stack web application using Flask with features like appointment scheduling, real-time video chat, lab report uploads, and anemia detection using machine learning.
Emotion Detection
Real-time emotion detection system using OpenCV and machine learning with 90% accuracy. Processes live video feed to classify emotions and provide analytics.
Attendance System
Automated attendance tracking using facial recognition and machine learning, reducing manual effort by 40%. Generates reports and analytics for administrators.
Child Labour Monitoring
Website for monitoring and reporting child labor cases with interactive UI built using HTML, CSS, and JavaScript. Includes reporting system and awareness resources.
Get In Touch
I'm currently seeking full-time job opportunities in software development and AI/ML. Let's connect to discuss potential roles or collaborations!