Ayaz Saiyed is a seasoned Python Full Stack Developer with extensive experience in developing robust backend systems and cloud-native solutions. He has a proven track record in AI/ML and Computer Vision, having successfully implemented various projects that leverage advanced technologies. His expertise spans across multiple domains including financial services and data analytics, making him a versatile asset for any development team.
Proven experience in cloud-native solutions on AWS and Google Cloud Platform.
Extensive backend development expertise with Python-based frameworks like Django and Flask.
Demonstrated capability in AI/ML and Computer Vision model development.
Automated critical DevOps operations using Python scripting and Terraform.
Implemented scalable backend solutions on AWS Lambda, DynamoDB, and API Gateway for large-scale applications.
Developed multiple AI/ML and Computer Vision systems for real-time detection with 99% accuracy.
Automated critical DevOps operations, including Python scripting for ElasticSearch.
Created robust data accuracy frameworks for financial data in a stock-broking environment.
Face Recognition — deep learning + computer vision for accurate face detection + recognition from live video streams.
Key outcomes:
Created an accurate face recognition system using deep learning and computer vision.
Implemented real-time face detection and naming of recognized individuals.
Work Point — freelancing website connecting clients posting jobs with users proposing services + chat + token authentication.
Key outcomes:
Designed and integrated robust APIs with the frontend for a freelancing platform.
Contributed to front-end and backend functionality development.
Key outcomes:
Managed the backend development of a Flask web application with user authentication and task management.
Blog Web Application — Django web app for author registration + blog writing + reading + comments + likes.
Key outcomes:
Developed a Django backend with GraphQL APIs for a blogging platform.
Integrated Flask for API functionality.
Pose Estimation Suggestor — MediaPipe Library suggesting optimal exercise position.
Key outcomes:
Developed an AI script for accurate pose estimation using MediaPipe.
Ayaz Saiyad
Python Full Stack Developer