PARUKURU VINAY REDDY

Entry-Level Machine Learning, Full Stack, and Software Development Professional
Tirupati, IN.

About

Highly motivated Computer Science graduate with a strong foundation in AI/ML, Full Stack, and IoT development, seeking entry-level opportunities in software engineering or data-related roles. Proven ability to deliver impactful projects, including an ESP32-based system improving efficiency by 25% and an AI model achieving 92% accuracy. Eager to apply problem-solving skills and a quick learning mindset to contribute to innovative tech projects and drive measurable outcomes.

Education

Vel Tech University
Avadi, Tamil Nadu, India

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Bachelor of Technology

Computer Science Engineering

Grade: CGPA: 7.56/10.0

Sri Viswasanthi Educational Institutions
Vijayawada, AP, India

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Intermediate (Class XI-XII)

MPC Stream

Grade: Score: 736/1000 (73.6%)

Academic Height Public School
Tirupati, AP, India

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Secondary School Certificate (Class X)

General Studies

Grade: CGPA: 8.7/10.0

Languages

Telugu
English
Tamil

Certificates

ML Model Development, Database Design, API Development, Mobile App Development

Issued By

Self-Paced Learning

Cloud Arcade Facilitator 2025 Cohort 2

Issued By

Google Cloud Arcade Program

Skills

Programming Languages

Python, C, JavaScript (Frontend & Backend), MERN Stack, MEAN Stack.

AI/ML Frameworks & Libraries

TensorFlow, PyTorch, OpenCV, YOLO.

Databases

MySQL, MongoDB, PostgreSQL.

IoT

ESP32, Arduino, Sensors.

Tools & Platforms

Git, GitHub, AWS, Docker, Jupyter, VS Code, Firebase.

Projects

Multi-Modal Accessibility Device

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Summary

Engineered an assistive device for deaf/mute communication, leveraging AI and hardware for high accuracy.

Acne Detection Mobile App

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Summary

Developed a cross-platform mobile application utilizing YOLO v9 for real-time acne detection and medical interface.

Smart Agricultural Storage System

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Summary

Developed an ESP32-based system for agricultural storage, integrating IoT, ML, and web development to provide real-time data visualization and predictive analytics.

Emotion-Based Music Recommendation

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Summary

Designed and developed a web application for personalized music recommendations based on emotion detection.

College Hackathons

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Summary

Participated in multiple college hackathons and programming events, developing full-stack applications under time constraints.

Agricultural Equipment Rental Platform

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Summary

Created a robust full-stack web application for agricultural equipment rental, designed to support high concurrent user loads.

National Hackathon - Tank Detection System

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Summary

Developed a LiDAR and ML-based vehicle detection system for a national-level competition, earning a Top 10 position.