Open to opportunities

ali baig

@alibaig

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Machine Learning Architect with 7+ years of AI/ML expertise.

Pakistan

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful solutions.

I am a Machine Learning Architect and Technical Leader with over 7 years of experience in designing end-to-end AI/ML solutions across various sectors, including healthcare and public safety. My expertise lies in NLP, computer vision, and data science, where I have successfully led cross-functional teams to deliver more than 15 impactful projects. Notably, I have developed ISO 27001-compliant diagnostic tools and ethical AI systems that have been adopted by national agencies, showcasing my ability to translate complex data into actionable insights.

In my current role as a Senior Machine Learning Consultant at VSTINC, I architect scalable healthcare data solutions that unify fragmented patient records, driving clinical insights with a focus on privacy compliance. My work includes designing probabilistic matching algorithms and building GDPR/HIPAA-aligned data workflows. I have also mentored engineers in MLOps best practices, significantly reducing model deployment times and improving reproducibility. My passion for innovation drives me to continuously seek ways to enhance clinical decision-making through advanced AI technologies.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Consultant

Current

VSTINC

Jan 2024 - Present (1 year 5 months)

Architected scalable, privacy-first healthcare data solutions to unify fragmented patient records and drive clinical insights. Designed probabilistic matching algorithms to reconcile 10M+ patient records with 98% accuracy, and engineered Snowflake-based ETL/ELT pipelines to harmonize multi-source healthcare data. Built GDPR/HIPAA-aligned data unification workflows, enabling holistic patient journe

Python Snowflake ETL GDPR HIPAA Anomaly Detection

Machine Learning Engineering Manager

AI4LYF

Jan 2023 - Dec 2024 (1 year 11 months)

Architected diagnostic systems for 5+ disease verticals, leveraging multi-modal data fusion to improve clinical decision accuracy by 25%. Led cross-functional teams to deploy ISO 27001-compliant ML workflows, ensuring HIPAA adherence for 500k+ patient records. Mentored 8 engineers in MLOps best practices, slashing model deployment time from 14 days to 3 and improving reproducibility.

PyTorch Docker MLOps Agile Jira Snowflake NLP TensorFlow AWS Lambda

AI Principle

NOBORDERZ

Jan 2020 - Dec 2023 (3 years 11 months)

Led global AI/ML initiatives for blockchain ecosystems, blending generative AI with decentralized technologies to serve 25,000+ daily active users. Built and managed a 15+ member AI team, delivering 10+ products including AI-generated NFT collections and multilingual bots. Architected XANA Genesis, the first AI-generated NFT collection, and pioneered multilingual AI bots driving 1.5M+ conversation

Generative AI Blockchain NFT Smart Contracts NLP Reinforcement Learning Social Media Bots Python

Research Officer

National Centre for Artificial Intelligence (NCAI), KICS UET

Jan 2016 - Dec 2020 (4 years 11 months)

Led multidisciplinary teams to design, develop, and deploy AI/ML solutions for national security, public safety, and smart city infrastructure. Architected Mask R-CNN-based crowd segmentation systems, achieving 93% mAP accuracy, and developed 3D-CNN anomaly detection models for suspicious activity recognition. Built Dlib/OpenCV-powered facial recognition systems for real-time attendance tracking,