Ashish  ·  Senior Python Full Stack Developer  ·  5+ yrs

Overview: Led the development of a full-stack e-commerce platform, managing product listings, user authentication, and payment processing. Responsibilities: Developed backend services using FastAPI and integrated them with the front-end built in React.js and TypeScript. Designed the database schema using PostgreSQL, ensuring optimized queries for real-time inventory management. Implemented RESTful APIs and collaborated with the front-end team for seamless data flow. Ensured adherence to SOLID principles and conducted code reviews to maintain code quality.

Overview: Developed a cloud-based healthcare management system for patient data and appointment scheduling. Responsibilities: Built secure backend services using FastAPI for managing patient records and appointments. Developed front-end components using React.js and TypeScript, ensuring responsiveness and performance. Optimized database queries using MongoDB for real-time data access. Collaborated with UX/UI designers to implement user-friendly interfaces, enhancing patient and doctor interactions.

Overview: Built a real-time financial analytics dashboard to monitor and predict market trends using Python and FastAPI. Responsibilities: Developed backend services using FastAPI for real-time data aggregation and processing. Created data visualization dashboards using React.js for presenting financial metrics and trends. Worked closely with the data science team to implement algorithms and optimize the performance of analytics services. Ensured the system adhered to SOLID principles for maintainability and scalability.

Overview: Developed a logistics management platform for real-time tracking of shipments, inventory management, and automated reporting. Responsibilities: Built a scalable backend with FastAPI to manage logistics operations, including shipment tracking and inventory updates. Integrated the front-end interface using React.js and TypeScript to provide real-time shipment status updates to users. Designed and optimized the database schema using PostgreSQL for efficient data retrieval and transaction handling. Collaborated with the operations team to implement automated reporting features, providing insights on shipment and inventory performance.

Overview: A machine learning project that detects if a person entering a room has a mask or not, displaying visual cues based on detection. Responsibilities: Designed and developed object detection algorithms. Collaborated with cross-functional teams on the project.