Yasir Mahmud
@yasirmahmud
Principal Machine Learning Engineer specializing in NLP, computer vision, and production MLOps.
What I'm looking for
I am a Principal Machine Learning Engineer with 11+ years delivering enterprise-scale ML solutions across NLP, computer vision, deep learning, and generative AI. I build and optimize ML platforms, deploy production-ready models, and apply advanced methods like transformers and graph neural networks to solve high-impact business problems.
At Sparq I architected platforms handling millions of transactions daily, reduced time-to-market for ML features by 35%, and established governance for monitoring, fairness, and explainability. I have improved inference latency, enabled scalable data pipelines across cloud providers, and mentored engineers to raise organizational ML maturity.
I prioritize reliable, compliant, and measurable AI systems—combining research, MLOps, and stakeholder alignment to accelerate innovation and deliver business value.
Experience
Work history, roles, and key accomplishments
Principal Machine Learning Engineer
Sparq
Jun 2022 - Present (3 years 4 months)
Architected enterprise-scale ML platforms supporting millions of daily transactions, reduced time-to-market for ML features by 35%, and established governance for monitoring, fairness, and explainability.
Senior Machine Learning Engineer
Ispectra
Jul 2019 - May 2022 (2 years 10 months)
Designed and deployed production ML models improving predictive accuracy by 20%, streamlined CI/CD for models to cut deployment cycles from weeks to days, and improved inference latency by 40% via model compression.
Data Scientist
Centaur Labs
Mar 2017 - Jun 2019 (2 years 3 months)
Built predictive and prescriptive models from large structured and unstructured datasets, produced interactive dashboards for stakeholders, and validated impacts via A/B testing to inform business decisions.
AI/ML Associate Engineer
12C Inc.
Jun 2014 - Feb 2017 (2 years 8 months)
Prepared datasets and feature pipelines that reduced manual effort by 25%, prototyped baseline ML models using TensorFlow and PyTorch, and contributed to reproducible evaluation and documentation.
Education
Degrees, certifications, and relevant coursework
null
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science; coursework and projects focused on software engineering and foundational computer science principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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