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Hi, I'm Andrew Saeed, a Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience. I specialize in designing, deploying, and scaling advanced machine learning systems across healthcare, fintech, retail, and enterprise SaaS sectors. I am passionate about building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying on cloud platforms like AWS, Azure, and GCP. I thrive on leading end-to-end MLOps orchestration, ensuring scalability, explainability, and ethical compliance in AI projects. Mentoring teams and aligning AI initiatives with business goals excites me as much as delivering impactful NLP, computer vision, forecasting, and recommendation systems. I’m always eager to accelerate AI innovation and drive optimization for data-driven products.…Hi, I'm Andrew Saeed, a Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience. I specialize in designing, deploying, and scaling advanced machine learning systems across healthcare, fintech, retail, and enterprise SaaS sectors. I am passionate about building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying on cloud platforms like AWS, Azure, and GCP. I thrive on leading end-to-end MLOps orchestration, ensuring scalability, explainability, and ethical compliance in AI projects. Mentoring teams and aligning AI initiatives with business goals excites me as much as delivering impactful NLP, computer vision, forecasting, and recommendation systems. I’m always eager to accelerate AI innovation and drive optimization for data-driven products.

Andrew Saeed

AI Engineer, Data Scientist, AI Ethics Consultant

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Hi, I'm Andrew Saeed, a Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience. I specialize in designing, deploying, and scaling advanced machine learning systems across healthcare, fintech, retail, and enterprise SaaS sectors. I am passionate about building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying on cloud platforms like AWS, Azure, and GCP. I thrive on leading end-to-end MLOps orchestration, ensuring scalability, explainability, and ethical compliance in AI projects. Mentoring teams and aligning AI initiatives with business goals excites me as much as delivering impactful NLP, computer vision, forecasting, and recommendation systems. I’m always eager to accelerate AI innovation and drive optimization for data-driven products.…Hi, I'm Andrew Saeed, a Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience. I specialize in designing, deploying, and scaling advanced machine learning systems across healthcare, fintech, retail, and enterprise SaaS sectors. I am passionate about building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying on cloud platforms like AWS, Azure, and GCP. I thrive on leading end-to-end MLOps orchestration, ensuring scalability, explainability, and ethical compliance in AI projects. Mentoring teams and aligning AI initiatives with business goals excites me as much as delivering impactful NLP, computer vision, forecasting, and recommendation systems. I’m always eager to accelerate AI innovation and drive optimization for data-driven products.

Available to hire

Hi, I’m Andrew Saeed, a Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience. I specialize in designing, deploying, and scaling advanced machine learning systems across healthcare, fintech, retail, and enterprise SaaS sectors. I am passionate about building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying on cloud platforms like AWS, Azure, and GCP.

I thrive on leading end-to-end MLOps orchestration, ensuring scalability, explainability, and ethical compliance in AI projects. Mentoring teams and aligning AI initiatives with business goals excites me as much as delivering impactful NLP, computer vision, forecasting, and recommendation systems. I’m always eager to accelerate AI innovation and drive optimization for data-driven products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at Algorithimia

September 30, 2024 - July 25, 2025

Built scalable ML pipelines for customer segmentation, predictive scoring, and recommendation engines using collaborative filtering. Engineered end-to-end ETL pipelines on GCP using Apache Beam and BigQuery, enabling real-time analytics. Designed deep learning computer vision models (YOLOv5, EfficientNet) to automate manufacturing defect detection. Developed feature stores and version control systems using DVC, integrated with GCP Data Catalog. Reduced model drift with online learning, real-time monitoring, and concept drift detection algorithms.

Lead Machine Learning Engineer at Glean

October 1, 2024 - Present

Architected and deployed real-time fraud detection models using ensemble techniques. Designed and managed MLOps pipelines with Kubeflow, MLflow, Jenkins, ensuring continuous training and delivery. Led the migration of 20+ legacy models to AWS SageMaker. Developed NLP systems using BERT/RoBERTa for secure document classification in finance and legal domains. Built model drift monitoring with CloudWatch, custom alerts, and retraining triggers integrated with Airflow DAGs. Conducted model governance audits and ensured compliance with AI ethics, model transparency, and GDPR standards. Mentored and led a cross-functional team of 7, including ML Engineers, Data Scientists, and DevOps engineers. Presented strategic AI initiatives to executives, aligning technical delivery with OKRs and revenue-impact KPIs. Led integration of SHAP and LIME for explainability and co-authored internal AI Ethics framework focused on fairness, reproducibility, and bias detection.

Machine Learning Engineer at Microsoft

December 31, 2020 - July 25, 2025

Developed object detection pipelines using YOLOv3 and EfficientNet for industrial visual inspection tasks. Built recommender systems with matrix factorization and gradient boosting. Automated ETL and streaming data pipelines using BigQuery and Apache Beam; integrated with DataFlow and Pub/Sub. Led ethical AI development for customer-facing ML tools; implemented model explainability dashboards. Managed deployment of production models using Azure ML endpoints and version control with Git and CI/CD pipelines. Conducted A/B testing for personalization models, enabling performance monitoring across key business segments. Presented use case outcomes to UK-based enterprise clients in retail and manufacturing. Collaborated with product managers to scope ML deliverables within agile sprints.

Machine Learning Engineer at Sentera

December 31, 2018 - July 25, 2025

Developed custom NLP pipelines for marketing personalization and sentiment analysis using spaCy and Transformers. Implemented uplift modeling for conversion optimization. Created Flask-based ML microservices for content recommendation, deployed via Docker and Jenkins pipelines. Designed predictive models for churn detection using ensemble learning and time-series features. Built real-time data collection and model inference pipelines integrated with CRM systems. Developed internal analytics dashboards in Streamlit and Power BI to visualize model KPIs. Introduced MLOps practices for reproducibility, version control, and monitoring in early-stage deployments. Participated in product roadmap planning to incorporate AI-first features across marketing automation tools.