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SY

Siva Naga Sai Abhinav Yellapragada

B.Tech CSE student · Full Stack Developer · AI/ML Enthusiast

Guntur, Andhra Pradesh, India

@abhinav_ysns

LinkedIn GitHub

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🎓 B.Tech in Computer Science and Engineering at Indian Institute of Information Technology, Sri City, AP · Graduating 2027

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About

Computer Science and Engineering undergraduate at IIIT Sri City with hands-on experience in full-stack development, APIs, and machine learning projects. Also involved in undergraduate research on small object detection in aerial imagery and hackathon leadership.

Experience

  • Undergraduate Researcher – Small Object Detection in Aerial Imagery
    IIIT Sri City
    Aug 2026 – Present

    Fine-tuned YOLO11n on the VisDrone dataset for real-time detection of small objects in drone imagery. Added a high-resolution P2 detection head, implemented SAHI sliced inference, and built a Colab training pipeline with Google Drive checkpointing.

  • Team Lead & Developer – IdeaVerse Hackathon 2026 (Winner)
    IIIT Sri City
    Mar 2026 – 2026

    Led a team building a dual-mode transportation platform; winner among 50+ teams.

Education

  • B.Tech
    Indian Institute of Information Technology, Sri City, AP
    Computer Science and Engineering (CSE) · 2023 – 2027
  • Class 12
    Sri Chaitanya Junior College, Guntur
    Science · 2021 – 2023
  • Class 10
    Ushodaya English Medium School
    2021

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Full-stack Development
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS Oop HTML Java Yolo NumPy React Python Pandas OpenCV Node.js PyTorch Next.js LangChain Express.js JavaScript TensorFlow TypeScript Tailwind CSS scikit-learn Database Management Systems Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Ultralytics Google Colab Google Drive
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux MySQL Redis Docker GitHub MongoDB Postman Amazon Web Services AWS

Projects

  • QuantumQuisine
    NextJS, TypeScript

    Developed an AI recipe platform using NextJS and TypeScript. Used Arcjet for rate limiting, Gemini API for recipe generation, mealdb API for cuisines, and Strapi as a headless CMS with Neon (PostgreSQL).

  • API Gateway
    NodeJS, ExpressJS, TypeScript, Neon (PostgreSQL)

    Built a microservices-based API Gateway with rate limiting, caching, and real-time metrics. Implemented Token Bucket rate limiting and LRU cache and validated performance through load testing with Autocannon.

  • SmartExchange
    MERN Stack, Redis, Docker

    Built a full-stack marketplace for refurbished phones, laptops, and accessories with authentication, cart, checkout, order management, multi-role workflows, inventory management, listing verification, notifications, analytics, and product listing operations. Improved backend performance using Redis caching and Docker-based containerization.

  • QuantumQuisine
    NextJS, TypeScript

    Developed an AI recipe platform using NextJS and TypeScript. Used Arcjet for rate limiting, Gemini API for recipe generation, mealdb API for cuisines, and Strapi as a headless CMS with Neon (PostgreSQL).

  • API Gateway
    NodeJS, ExpressJS, TypeScript, Neon (PostgreSQL)

    Built a microservices-based API Gateway with rate limiting, caching, and real-time metrics. Implemented Token Bucket rate limiting and LRU cache and validated performance through load testing with Autocannon.

  • SmartExchange
    MERN Stack, Redis, Docker

    Built a full-stack marketplace for refurbished phones, laptops, and accessories with authentication, cart, checkout, order management, multi-role workflows, inventory management, listing verification, notifications, analytics, and product listing operations. Improved backend performance using Redis caching and Docker-based containerization.

Courses & certifications

  • Machine Learning · Udemy
  • Machine Learning · Udemy

🏆 Achievements & awards

  • LeetCode Max Rating: 1983 (Knight)
  • Codeforces Max Rating: 1322 (Pupil)
  • CodeChef Max Rating: 1611 (3-Star)

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