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AI/ML Engineer with 2.5+ years of experience building AI automation, computer vision, deep learning, and client-facing AI solutions. Progressed from award-winning sign-language research and machine learning model development to computer vision applications and AI-powered workflow automation. Delivered 95% dispatch automation and a 91%-accurate signlanguage model through technical ownership, stakeholder collaboration, model evaluation, and practical problem solving.…AI/ML Engineer with 2.5+ years of experience building AI automation, computer vision, deep learning, and client-facing AI solutions. Progressed from award-winning sign-language research and machine learning model development to computer vision applications and AI-powered workflow automation. Delivered 95% dispatch automation and a 91%-accurate signlanguage model through technical ownership, stakeholder collaboration, model evaluation, and practical problem solving.

Muhammad Hazrat

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AI/ML Engineer with 2.5+ years of experience building AI automation, computer vision, deep learning, and client-facing AI solutions. Progressed from award-winning sign-language research and machine learning model development to computer vision applications and AI-powered workflow automation. Delivered 95% dispatch automation and a 91%-accurate signlanguage model through technical ownership, stakeholder collaboration, model evaluation, and practical problem solving.…AI/ML Engineer with 2.5+ years of experience building AI automation, computer vision, deep learning, and client-facing AI solutions. Progressed from award-winning sign-language research and machine learning model development to computer vision applications and AI-powered workflow automation. Delivered 95% dispatch automation and a 91%-accurate signlanguage model through technical ownership, stakeholder collaboration, model evaluation, and practical problem solving.

Available to hire

AI/ML Engineer with 2.5+ years of experience building AI automation, computer vision, deep learning, and client-facing AI
solutions. Progressed from award-winning sign-language research and machine learning model development to computer
vision applications and AI-powered workflow automation. Delivered 95% dispatch automation and a 91%-accurate signlanguage model through technical ownership, stakeholder collaboration, model evaluation, and practical problem solving.

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Experience Level

Expert

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Work Experience

AI Integration Engineer & IT Technician at BizTech Helpers

May 1, 2025 - Present

Automated 95% of previously manual IT dispatch steps by integrating ConnectWise PSA API with Microsoft Power Automate and Microsoft Teams, enabling real-time alerts, AI-assisted ticket triage, and cross-client coordination. Implemented Microsoft 365 Copilot and Hatz.ai across client workflows, automating repetitive tasks and delivering individual/group training that improved AI adoption and documented workflow efficiency by 30%. Integrated PIA.ai APIs into managed service provider operations to standardize AI-assisted ticket handling and reduce resolution time by 25%. Developed CloudRadial portal solutions and LLM-based support workflows using ChatGPT and Gemini to improve ticket submission, client communication, troubleshooting consistency, and overall support-process efficiency by 40%.

Machine Learning Engineer Intern at VentureDive Ltd.

June 1, 2024 - September 30, 2024

Built a computer vision virtual try-on pipeline using image preprocessing and prototyping workflows, increasing product-trial engagement by 30% through stakeholder testing. Optimized virtual try-on quality via image-processing algorithm research, visual evaluation, and computer vision tuning, improving user satisfaction by 20% across four months. Developed reusable computer vision workflows for ML experimentation, model evaluation, prototype validation, and product visualization to improve testing consistency and reproducibility. Collaborated with engineering and product stakeholders to refine requirements, convert user feedback into acceptance criteria, and validate prototypes.

Machine Learning Capstone Researcher at Forman Christian College University

August 1, 2022 - August 1, 2023

Engineered HandAI, a real-time Pakistan Sign Language translation application, using machine learning with dataset curation and preprocessing to achieve 91% recognition accuracy and improve accessibility for deaf users. Designed a deep learning pipeline with MediaPipe Holistic, TensorFlow, Keras, and LSTM models to extract hand, facial, and pose keypoints and achieve 91% sequence-based gesture recognition across input modalities. Improved real-time inference by converting models to TensorFlow Lite and integrating a Flask REST API for on-device predictions and mobile deployment. Drove 12 months of product iteration and user-feedback analysis, collaborating with faculty and stakeholders and securing two innovation awards (APICTA and PASHA) for HandAI.