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Schedule Interview NowMy name is Tayyab T. and I have over 15 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Natural Language Processing, Python, Data Science, Artificial Neural Network, etc.. I hold a degree in Master of Science (MS), Bachelors. Some of the notable projects I've worked on include: TOP 1% TALENT ON UPWORK - EXPERT VETTED, Sports Data Analytics from Video and Live Feeds, AI-Powered Tool for Insurance Defence Teams, Reinforcement Learning-based Supply Chain Automation, DeepFake Detection, etc.. I am based in San Jose, United States. I've successfully completed 14 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Developed a system using Computer Vision and Machine Learning to analyze sports videos or live feeds, focusing on tracking player and ball movements with techniques like optical flow and object detect
We built a platform that provides AI-powered tools and verdict data analytics specifically for insurance defense teams. The platform aims to strengthen negotiation positions by replacing anecdotal evi
Developed a supply chain automation system enhancing the Economic Order Quantity (EOQ) model using reinforcement learning (RL) algorithms. The solution optimized procurement costs across multiple ware
A Deep Fake Detection System designed to identify and flag digitally manipulated images and videos, commonly known as "deep fakes." Utilizing machine learning and computer vision algorithms, the syste
Master of Science (MS) in Artificial Intelligence
2011-01-01-2013-12-01
Bachelors in Computer science
2006-09-10-2010-05-10