Sreelal's Devfolio Profile

👋 About Me

Hi, I'm Sreelal! I'm an Electrical Engineer turned Software Developer with a passion for combining technology and sustainability. With hands-on experience in Machine Learning, IoT, Blockchain, and Data Science, I thrive in creating innovative solutions to modern challenges. Whether it's designing AI-powered tools or building full-stack applications, I'm always excited to work on projects that make a difference.

Key Areas of Expertise:

• Machine Learning: Skilled in building ML models for predictive analysis, optimization, and AI-driven automation.
• Blockchain Development: Working on decentralized apps (dApps) to create transparent, secure systems.
• IoT & Embedded Systems: Creating sensor-based systems and optimizing them for real-time applications.
• Web & Mobile Development: Proficient in full-stack development, with React, Node.js, and React Native.
• Sustainable Technologies: Passionate about projects that aim to reduce carbon footprints and promote eco-friendly practices.

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🚀 Projects

1. Vrishti: AI-Powered Circular Economy for Construction

• Role: Project Lead & AI Developer
• Overview: A marketplace for reusable construction materials. We use AI to generate 3D models, predict product lifecycle, and calculate sustainability scores. Rewards are given to users with high sustainability scores in the form of Vrishti coins.
• Tech Stack: Python, TensorFlow, React, Node.js, AWS, Web3 (for future scope).

2. AI-Enhanced Stock Market Insights

• Role: Data Scientist & Developer
• Overview: Developed an AI-based model for predicting stock movements using historical data, technical indicators, and sentiment analysis. Helps traders make informed decisions with real-time insights.
• Tech Stack: Python, Pandas, Scikit-Learn, React.

3. Swarm Drone Search Mission

• Role: Embedded Systems & Software Engineer
• Overview: A drone-based swarm system for search and rescue missions in forested areas. Designed and programmed autonomous drones to work in sync to complete complex tasks.
• Tech Stack: Arduino, Python, ROS, OpenCV, IoT sensors.

4. Rash Driving Detection System

• Role: IoT Engineer & ML Developer
• Overview: Built a smart detection system using ultrasonic sensors, accelerometers, and gyroscopes to identify rash driving patterns. A scoring system similar to CIBIL was developed to rank vehicle safety.
• Tech Stack: ESP8266, Python, Sensors, Machine Learning.

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🎯 Skills

• Languages: Python, JavaScript (React, Node.js), TypeScript, SQL, HTML/CSS
• Frameworks: React, React Three Fiber, Express, Flask
• AI/ML: TensorFlow, Keras, Scikit-Learn, PyTorch
• Blockchain: Solidity, Web3.js
• Cloud: AWS (EC2, S3), Docker, Nginx
• IoT: Arduino, ESP8266, MQTT

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📈 Future Goals

• Diving deeper into Web3 development for sustainable projects.
• Expanding expertise in AI for sustainability, particularly in construction and mobility sectors.
• Exploring opportunities to combine Machine Learning with IoT for smart city solutions.

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📫 Let's Connect!

• Email: [email protected]