Skills
Project history
Technologies: Solidity • Dapp • Smart contract • Web3.js • Ethers.js • NFT’s • Metamask • Alchemy • Infura • Pinata • Hardhat • Truffle • Remix • ReactJs • NextJs • Sass • Bootstrap • JavaScript • TypeScript • Machine learning
• Developed a scalable, secure and user-friendly Web site which ensures high traffic for the products of company resulting 30% increase in profits.
• Developed Single Page Application (SPA) and Responsive Web Design (RWD) with Typescript / React / NextJS/ Bootstrap.
• Designed and developed fully functional DeFi / Dapps with React.js Front-end communicating with the Ethereum blockchain.
• Designed, built and scaled NFT marketplace which handles writing/minting NFTs across different chains.
• Developed signal and trading bots using cryptocurrency exchange APIs in Node.js.
Technologies: • Drone • Robotics • C/C++ • Python • Algorithm • RTOS • Firmware • Machine Learning • Matlab • Mathematics • Qt • FFmpeg
- Developed Drone Light Show Software and Unmanned Aerial Vehicle’s Firmware for drone swarm flight.
- Worked on drone simulation and software development to control UAV platforms using C++, ROS and Matalb simulink.
- Developed a real-time object detection and classification algorithm, facilitating obstacle avoidance for autonomous vehicles.
- Developed a real-time video stream application for FPV drone controlling using C++, FFmpeg, GStreamer and OpenCV.
- Experienced using Modern C++ standard version, standard library, STL containers, TCP/IP Socket programming and Multi threading on Windows, UNIX and Linux platforms.
- Worked on embedded programming for a real-time power management application on a micro-controller.
- Built performant systems, such as high performance & low latency C++ applications, running under Linux OS.
Technologies: • Deep Learning • OpenCV • C++ • Python •Tensorflow • Keras • AWS • MERN stack • React-native
- Solved complex problems based on mathematical modeling and algorithm analysis with C/C++, Python.
- Deployed modern NLP models in production, developed machine learning solutions to process data, train models, and predict user behavior using CNN, TensorFlow and PyTorch.
- Developed deep learning algorithms for automated object detection and feature extraction from LiDAR point cloud data using inputs from a variety of sensors.
- Detected and identified objects on satellite, drone and ground-based images using CNN
- Implemented text recognition from images using recurrent convolutional neural networks.
- Researched and evaluated new model architectures which improve the accuracy of prediction models.
- Built web and mobile application integrating with real-time pose estimation algorithm using tensorflow.js.