Open to opportunities

Andrew Saeed

@andrewsaeed

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Senior Machine Learning Engineer specializing in AI/ML architecture.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, with opportunities for growth in AI/ML technologies.

I am a results-driven Senior Machine Learning Engineer and AI/ML Architect with over 12 years of experience in designing, deploying, and scaling advanced machine learning systems across various sectors including healthcare, fintech, retail, and enterprise SaaS. My expertise lies in building production-grade ML pipelines using Python, TensorFlow, and PyTorch, and deploying them on cloud-native platforms like AWS SageMaker, Azure ML, and GCP Vertex AI.

Throughout my career, I have demonstrated leadership in end-to-end MLOps orchestration, including CI/CD pipelines, model monitoring, and automated retraining. I have a strong track record of delivering impactful NLP, computer vision, and recommendation systems while ensuring scalability and ethical compliance. As a mentor and collaborator, I excel at aligning technical execution with business KPIs, driving optimization across data-driven products, and accelerating AI innovation.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Glean

Oct 2024 - Present (10 months)

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.

Kubeflow MLFlow Jenkins AWS Sagemaker BERT RoBERTa Cloudwatch Airflow GDPR

Senior Data Scientist

Algorithimia

Jan 2021 - Present (4 years 7 months)

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.

YOLO V5 Apache Beam BigQuery YOLOv5 GCP Data Catalog SHAP LIME CI CD

Machine Learning Engineer

Microsoft

Jan 2019 - Present (6 years 7 months)

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.

YOLOv3 BigQuery Apache Beam Dataflow Pub Sub Git CI CD A B Testing

Machine Learning Engineer

Sentera

Mar 2011 - Present (14 years 5 months)

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 + Jenkins pipelines.

SpaCy Transformers Flask Docker Jenkins Streamlit Power BI MLOps

Education

Degrees, certifications, and relevant coursework

University of the Punjab

Bachelor of Science, Computer Science

Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained a strong foundation in software development and computational theory.