I am a computer science undergraduate with experience in programming, web development, and systems design. I have built web applications using React, Node.js, and MongoDB, and I write code in Python, Java, and C++. I have worked on projects involving artificial intelligence and IoT, including developing systems for real-world applications. My work includes writing efficient code, troubleshooting issues, and integrating various technologies to create functional solutions. I am prepared to apply my skills to tasks such as developing software, improving processes, and solving problems that support the goals of your company.

• Programming Languages: Python Java C C++
• Web Development: HTML CSS JavaScript React Node.js
• Databases: MySQL MongoDB

• B.Tech in Computer Science and Engineering : SRM Institute of Science and Technology, 2022 - Present
• Higher Secondary: Palaghat Lions School, Kerala, 2018 - 2022

• Atari Breakout with Deep Reinforcement Learning
  
  
  Developed an AI agent using Deep Q-Learning in Python to play Atari Breakout, achieving performance beyond human levels. The agent was trained with OpenAI Gym and NumPy, utilizing rewards and penalties to adapt to the game environment. The techniques used in this project can be applied to fields like robotics, autonomous navigation, and other dynamic decision-making systems.
  



• AI-Powered Solar Power Efficiency Calculator
  
  
  Built a web application using React, Node.js, and Machine Learning techniques to optimize solar panel efficiency. The app analyzes environmental factors such as sunlight intensity and temperature to predict and recommend optimal configurations for solar panels. This project promotes energy efficiency and cost savings while supporting sustainable energy adoption.
  



• Ammonia Detector Using IoT
  
  
  Designed and implemented an industrial safety system using Arduino, IoT, and gas sensors to detect ammonia leaks. The system was rigorously tested for accuracy and reliability, providing real-time alerts to ensure safety in hazardous environments. This solution improves industrial safety and mitigates risks associated with ammonia exposure.
  



• Ultrasonic Sensor System for Accident Prevention in Hairpin Bends
  
  
  Developed a collision detection system using Ultrasonic Sensors, Python, and Machine Learning. The system provides real-time alerts to drivers on hairpin bends, significantly reducing the risk of accidents. The integration of sensor data and predictive algorithms ensures timely and reliable warnings to enhance road safety.