Y H OUSAF ASHMI

- Develop scalable backend systems using Django as a full-stack framework and Django REST Framework (DRF) for high-performance RESTful APIs. - Collaborate closely with AI engineers to integrate computer vision and deep learning models into production-grade web applications and surveillance systems. - Work with real-time RTSP/IP camera streams for live video ingestion, processing, and analytics. - Designed and implemented asynchronous processing pipelines for high-volume video frame streams using Celery, Redis, and concurrent Python techniques. - Integrated state-of-the-art computer vision models for real-time surveillance analytics, object detection, and intelligent event processing from IP surveillance cameras. - Optimized backend architecture for handling large-scale streaming workloads with low-latency processing and scalable task execution. - Built secure APIs and backend services for AI-powered monitoring and automation systems.

- Designed and developed scalable backend applications using Django and Django REST Framework (DRF). - Implemented real-time communication with Django Channels and WebSockets for seamless alerts and device interactions. - Built and optimized background task processing pipelines using Celery and Redis for asynchronous workloads. - Integrated and managed LiDAR scan data ingestion pipelines while efficiently storing large datasets on AWS S3. - Developed secure and optimized APIs to handle data from edge devices with high reliability and scalability. - Collaborated with cross-functional teams to optimize backend architecture and improve system performance.

- Designed and developed performant backend services using Flask and FastAPI. - Built RESTful APIs and WebSocket-based systems for real-time communication with mobile devices. - Leveraged FastAPI async capabilities and Python concurrency features for high-performance software systems. - Implemented SQL and NoSQL database solutions including PostgreSQL with asynchronous ORM support. - Developed custom middlewares to improve security and request/response handling.

- Designed and developed scalable backend services and microservices in Python. - Built data storage and retrieval systems using SQL and NoSQL databases. - Integrated backend APIs with PyQt desktop applications and GUI systems. - Deployed applications on AWS and GCP ensuring reliability and scalability. - Containerized applications using Docker and managed cloud deployments.

- Designed backend systems using FastAPI and Django REST Framework. - Implemented JWT and OAuth authentication systems for secure APIs. - Integrated OpenAI and Hugging Face LLMs into backend applications. - Worked with PostgreSQL, DynamoDB, MongoDB, and vector databases (ChromaDB, Pinecone, Qdrant). - Containerized applications with Docker and deployed services on AWS EC2 and Lambda. - Integrated Stripe payment systems for secure online transactions.