Hiral  ·  Senior Azure Databricks Data Engineer  ·  6+ yrs

Overview: Developed a decentralized crowdfunding platform based on Blockchain technology. Responsibilities: Designed and implemented Solidity Smart Contracts to automate campaign creation and donation processes. Integrated Metamask wallet and ThirdWeb for seamless user transactions. Developed the frontend using ReactJS, ensuring a responsive and mobile-friendly interface. Conducted thorough testing on the Sepolia Test network to ensure the security and efficiency of smart contracts. Managed deployment and monitoring of the application on the Blockchain network.

Overview: Developed a web-based medical image viewer with desktop-level functionality. Responsibilities: Developed core functionality for viewing and editing DICOM images using Python and Django. Integrated image processing techniques like Segmentation and Morphology for advanced analysis. Built a scalable backend using Django and FastAPI for efficient data handling. Implemented user-friendly interfaces with JavaScript, HTML, and CSS. Conducted testing and debugging to ensure cross-platform compatibility and performance.

Overview: Developed a Python-based Django web application for smart surveillance. Responsibilities: Developed and integrated features like motion and face detection using Python and Django. Designed efficient database structures for handling surveillance data with SQLite. Created REST APIs with Django REST Framework for mobile integration. Implemented notification systems for alerts via WhatsApp, SMS, and email. Conducted comprehensive testing using Postman to ensure API reliability and functionality.

Overview: Developed an object detection application using Google Cloud Vision. Responsibilities: Integrated Google Cloud Vision API for object detection in images and videos. Developed Python scripts to interact with the Cloud Vision API, handling image uploads and processing. Implemented logic for detecting multiple object types, including faces and text. Ensured efficient data handling and processing within the cloud environment. Conducted testing and validation of the object detection models to ensure accuracy.

Overview: Developed a face recognition project for employee attendance management. Responsibilities: Developed the face recognition model using Python, achieving a 98% accuracy rate. Integrated AWS services for cloud-based processing and storage of face recognition data. Implemented a touchless attendance system, enhancing workplace safety during the pandemic. Optimized the model for real-time processing to ensure efficient attendance tracking. Conducted deployment and monitoring of the system on AWS, ensuring scalability and reliability.