Shreya Naik

About

AI & Data Science undergraduate with strong programming skills in Python, C++, and C, and hands-on experience in machine learning, deep learning, computer vision, and large language models. Experienced in building practical AI and software solutions using TensorFlow, Scikit-learn, OpenCV, LangGraph, PostgreSQL, Git, and Docker.

Education

• B.E. in Artificial Intelligence and Data Science
  Shri Madhwa Vadiraja Institute of Technology and Management
  Artificial Intelligence and Data Science · 2027
• High School
  Secondary School
• Higher Secondary
  Higher Secondary School

Skills

• SQL <3 months
• C <3 months
• Computer Vision <3 months
• Deep Learning <3 months
• Express.js <3 months
• Python <3 months
• Machine Learning <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• scikit-learn <3 months
• OpenCV <3 months
• TensorFlow <3 months
• Next.js <3 months
• CNN (Convolutional Neural Network) <3 months
• OpenAI API <3 months
• API Integration Understanding <3 months
• Natural Language Processing <3 months
• RAG <3 months
• LLMs <3 months
• LangGraph <3 months
• Data Structures and Algorithms <3 months
• Google Gemini Api <3 months
• Oop <3 months
• Mediapipe <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months

Tools / apps / platforms

• Docker <3 months
• Git <3 months
• GitHub <3 months
• Google Colab <3 months
• MongoDB <3 months
• MySQL <3 months
• Ollama <3 months
• PostgreSQL <3 months

Projects

• Indigenous Bird Classification System
  Deep Learning, Machine Learning, CNN, Google Perch 2.0, BirdNET, MobileNet, EfficientNet

  Major ongoing project developing an AI-powered indigenous bird species classification system and comparing multiple model approaches to improve accuracy.

• Medical Image Analysis
  Deep Learning, BRATS, SPINE, U-Net

  National-level hackathon project for medical image preprocessing, enhancement, and U-Net-based segmentation; contributed to first-place finish.

• Autonomous Medical Resource Triage Agent
  LangGraph, PostgreSQL

  Built an intelligent hospital resource triage system for patient prioritization and medical resource allocation using agentic workflow orchestration.

• AI-Based Hand Gesture Control System
  Python, OpenCV, MediaPipe, Machine Learning

  Developed a touchless media control system with real-time hand gesture recognition for playback, navigation, and volume control.

🏆 Achievements & awards

• 1st Place – National Level Hackathon

  Won at JNNCE Shivamogga among 110+ participating teams.

• Winner – State Level Hackathon

  Won at JNNCE College among 100+ participating teams.

• Winner – Poster Presentation

  Won at MAHE Manipal among 20+ participating teams.

• Winner – Ideathon

  Won at JNNCE College.

• Selected for IEEE Eureka 2026 – Pune Section · 2026

  Shortlisted among 20 teams from 600+ participating teams.

⚽ Extracurricular activities

• Treasurer – ACM Club

  Served as treasurer of the ACM Club at SMVITM.

• IEEE Eureka events

  Conducted and participated in IEEE Eureka events.