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Ayaz Mehmood

@ayazmehmood

Data Scientist at Managed Self Limited (Klarity), developing cancer risk models from clinical data and predictive models for chronic disease.

Pakistan

Message

What I'm looking for

I'm seeking a role with an innovative Data Science/AI company where I can build and deploy impactful AI products.

At Managed Self Limited (Klarity), I developed models to predict five-year risk for common cancers and built predictive models for chronic conditions using longitudinal EHR data. I also modeled biological age and mortality, applying explainable AI to clinical, insurance, EMR, longitudinal and imaging data.

At Dream Shake Media LLC, I developed a custom Flux logo-generation model and a pipeline for placing logos on products. My work has also included a deployed resume parser at Glowlogix and medical imaging research at Medical Imaging and Diagnostic Lab (NCAI), including work as part of the team that developed an AI-based DICOM Viewer.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Managed Self Limited (Klarity)

Oct 2024 - Present (2 years)

Developed ML models for cancer risk prediction, chronic disease modeling, biological age, and mortality prediction using EHR and insurance data. Applied explainable AI for interpretable predictions and collaborated with cross-functional teams to integrate models into healthcare technologies.

Machine Learning Deep Learning Electronic Health Records (EHR)Longitudinal Data Insurance Data Explainable AI Tumor Models Disease Modeling Biological Age Mortality Analytics

Generative AI Engineer

Dream Shake Media LLC

May 2024 - Nov 2024 (6 months)

Worked on AI development and backend for creativecor.com, developing a custom logo generation model using Flux and a logo add-on pipeline for products.

Generative AI Flux Text to Image Backend Development Logo Design

Data Science and Machine Learning Engineer

Glowlogix

Jul 2023 - Sep 2024 (1 year 2 months)

Developed and deployed a Resume Parser, employee retention prediction, applicant suitability testing, a chatbot for employee FAQs, and a Python SDK for ZKTeco devices. Also developed a Face Recognition Module with a vector database.

Python Machine Learning Resume Parsing Chatbot Development Face Recognition Vector Databases ZKTECO

Research Assistant

Medical Imaging and Diagnostic Lab (NCAI)

Oct 2022 - Jul 2023 (9 months)

Contributed to the development of the first AI-based DICOM Viewer for medical imaging and worked on projects for breast cancer, TB, and brain tumor classification, detection, and segmentation.

Medical Imaging DICOM Image Classification Détection Segmentation Deep Learning

AI Research Scholar

Smart IoT Lab (NCCS)

Apr 2022 - Oct 2022 (6 months)

Designed and tested AI systems for industrial applications, coordinating with engineers and programmers to meet deadlines. Developed an AI-based real-time attendance marking system using face recognition.

AI Systems Face Recognition Industrial Applications Research

Education

Degrees, certifications, and relevant coursework

National University of Sciences & Technology (NUST)

Master of Science, Data Science

2023 - 2026

Grade: 3.5

Completed Master of Science in Data Science with a CGPA of 3.5. Thesis focused on breast cancer mammogram classification using multi-view fusion and LoRA-adapted foundation models, with two papers under review.