Sunil Gopal C V

Software Engineer

I build exceptional and accessible digital experiences for the web.

About

As a passionate Software Engineer, I focus on developing robust full-stack applications and have a keen interest in AI and machine learning. My experience at HealthyKid involved scaling user engagement by 23% and significantly improving data accuracy through algorithm optimization.

I thrive on transforming complex problems into scalable, high-performance solutions. My work on projects like the VisionTutor AI platform and a high-accuracy Livestock Classification App demonstrates my ability to work with modern technologies like React, Python, and cloud infrastructure to deliver impactful products.

I'm a dedicated problem-solver, with over 500+ challenges completed on platforms like LeetCode, and am always eager to learn and contribute to innovative projects.

Sep — Dec 2024

Software Engineer Intern · HealthyKid

  • Scaled user engagement by 23% by designing and developing a comprehensive health scoring mobile application using React Native and an optimized backend architecture.
  • Improved health parameter accuracy by 20% through advanced research, algorithm optimization, and machine learning model integration.
  • Reduced database query latency by 17% through efficient schema design and query optimization.
VisionTutor - Multimodal AI Tutoring Platform project preview

VisionTutor - Multimodal AI Tutoring Platform

Built an innovative AI-powered tutoring system with real-time screen monitoring, speech interpretation, and multimodal reasoning, featuring a dual-platform architecture integrated with Gemini models for instant feedback.

  • WebSockets
  • Real-time APIs
  • Gemini AI
  • React
Livestock Image Classification App project preview

Livestock Image Classification App

Achieved 96.3% classification accuracy on livestock breed identification using EfficientNet-B2. Deployed on a scalable cloud infrastructure with 99.9% uptime, launched in partnership with the Agriculture Minister in Bidar.

  • PyTorch
  • React Native
  • Google Cloud
  • Docker
Flavor Finds - Full-Stack Recipe Application project preview

Flavor Finds - Full-Stack Recipe Application

Increased user engagement by 30% through a responsive and seamless user experience. Implemented enterprise-grade security with JWT, Firebase, and Google OAuth, built on a scalable backend with RESTful APIs.

  • MongoDB
  • Express.js
  • React
  • Node.js
  • Firebase