Syed Umair Aziz
Principal Ai Software Engineer @Fleetworthy
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WORK HISTORY
Principal Ai Software Engineer @Fleetworthy
Leading the architectural strategy for next-generation AI compliance engines. Orchestrating the transition from legacy workflows to agentic AI systems that automate high-stakes fleet documentation and safety verification.
EDUCATION
University of Saskatchewan
M.Sc, Computer Science
National University of Computer and Emerging Sciences
Bachelor's Degree, Computer Science
SKILLS
ABOUT SYED UMAIR AZIZ
As a Principal AI Engineer with over 8 years of experience, I specialize in architecting end-to-end intelligent pipelines that transform unstructured, multi-modal data into actionable business logic. My passion lies in solving the \"last mile\" problem—taking models from accurate demos to resilient, scalable systems.Core Expertise & Architecture I focus on building systems that survive the real world. My recent work in Intelligent Document Processing (IDP) and LLM Orchestration involves:Agentic Workflows: Engineering adaptive pipelines that handle diverse sources (HTML, complex PDFs) by dynamically routing between LLMs and layout-aware models (LayoutLM, GeoLayout).High-Stakes Accuracy: Designing solutions for tax and licensing workflows where the margin for error is zero, utilizing intelligent source identification to minimize hallucinations.Technical Leadership My background combines deep-tier engineering with strategic oversight:Deep Learning & Vision: Fine-tuning and deploying state-of-the-art architectures (YOLO, Mask RCNN, Florence) for production inference.Infrastructure & DevOps: Architecting AWS ecosystems, optimizing CI/CD with Docker/Jenkins, and managing data lifecycles for massive datasets.Pragmatic AI: A proven track record of applying the right tool for the job—blending classical ML (SVM, Random Forest) with modern Generative AI to ensure cost-effectiveness and speed.Advisory & Strategy Beyond core engineering, I act as a technical advisor for organizations looking to move past AI hype into deployment. I help teams navigate model selection, inference optimization, and build vs. buy decisions to drive tangible value.
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