Zaid Afzal is an AI/ML Engineer with seven years of hands-on experience building backend, cloud-native, and machine learning systems that scale reliably. He has driven end-to-end projects—from ideation to deployment—across startups and clients in the UK and US, implementing serverless microservices, ETL pipelines, and real-time video analytics on AWS. His background spans production ML (BERT, YOLOv5), data collection and labeling automation, and integrating models into customer-facing products like a Chrome safety extension and a Slack NLP chatbot that reduced HR workload. Comfortable in Go and Python, he architects cost-effective, event-driven systems (Lambda, SQS, SNS, EventBridge, DynamoDB) and deploys ML with SageMaker and Docker on Fargate. Beyond feature work, he hires and mentors junior engineers and interns, blending hands-on coding with team-building and operational rigor.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National University of Computer and Emerging Sciences
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