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ashrafml engineer

@ashrafmlengineer

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Principal Machine Learning Engineer specializing in NLP, computer vision, and production MLOps.

United States

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What I'm looking for

I seek senior roles building production ML platforms and models where I can lead technical strategy, mentor teams, and deliver compliant, scalable AI solutions.

I am a Principal Machine Learning Engineer with 11+ years of experience delivering enterprise-scale AI/ML solutions across NLP, computer vision, deep learning, and generative AI.

I have architected cloud-native MLOps platforms, deployed production-ready models, and integrated distributed data pipelines to support millions of transactions daily while reducing time-to-market and deployment cycles.

My technical leadership includes mentoring teams, defining AI strategy, and establishing governance for model monitoring, fairness, and explainability to ensure compliant, reliable systems.

I drive measurable business impact through optimized inference, model compression, and advanced methods (transformers, GNNs, XAI), and I partner closely with product and engineering teams to translate research into production.

Experience

Work history, roles, and key accomplishments

Current

Principal Machine Learning Engineer

Current

Sparq

Jun 2022 - Present (4 years)

Architected enterprise-scale ML platforms supporting millions of daily transactions, reducing time-to-market for new ML features by 35% and establishing governance for monitoring, fairness, and explainability.

MLOps Transformers Model Monitoring Explainable AI Team Leadership

Senior Machine Learning Engineer

Ispectra

Jul 2019 - May 2022 (2 years 10 months)

Designed and deployed classification, ranking, and recommendation models that boosted predictive accuracy by 20% and reduced deployment cycles from weeks to days via CI/CD and automated monitoring.

Model Compression CI CD Python

Data Scientist

Centaur Labs

Mar 2017 - Jun 2019 (2 years 3 months)

Built predictive and prescriptive models and interactive dashboards that improved decision-making across forecasting, personalization, and anomaly detection, validated via controlled experiments.

Statistical Modeling Python R SQL A B Testing Data Visualization

AI/ML Associate Engineer

12C Inc.

Jun 2014 - Feb 2017 (2 years 8 months)

Supported dataset preparation and feature extraction, prototyped baseline ML models and automated preprocessing workflows, reducing manual effort by 25% and improving reproducibility.

data preprocessing Feature Extraction TensorFlow PyTorch scikit learn Hyperparameter Tuning Documentation