Kasra Babazadeh Mahalleh

• Led the architecture and implementation of a real-time AI-driven face recognition platform, integrating TensorFlow, OpenCV, and PyTorch models into a FastAPI backend with PostgreSQL for metadata storage. • Owned the design and deployment of a production-ready RAG-based customer support chatbot using LangChain, Hugging Face Transformers, and FAISS. • Built real-time streaming pipelines using RabbitMQ, Redis, and WebSockets, enabling instant face recognition visualization via a React dashboard.

• Designed, developed, and deployed full-stack web applications for clients across various industries. • Built scalable RESTful APIs, integrated third-party services, and managed PostgreSQL databases, ensuring secure, reliable, and high-performance applications tailored to client requirements. • Led end-to-end project lifecycle, including requirements gathering, system architecture, development, testing, deployment, and ongoing maintenance.

• Developed and maintained scalable backend applications using Python, Django, and FastAPI, designing RESTful APIs and microservices to support business-critical features. • Designed and optimized PostgreSQL database schemas, queries, and indexing strategies, improving application performance and ensuring data integrity across high-traffic systems. • Implemented Redis-based caching and background processing solutions, reducing API response times and enhancing overall system scalability and reliability.

• Developed responsive and dynamic web applications using React, building reusable components and implementing modern UI/UX designs with Bootstrap. • Integrated frontend applications with RESTful APIs, managing application state and ensuring seamless data flow to deliver smooth and interactive user experiences. • Optimized application performance through component reusability, code splitting, lazy loading, and efficient rendering techniques, improving responsiveness across devices and browsers.