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Austin Saeed

@austinsaeed

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Accomplished Lead AI/ML Engineer with over 10 years of experience.

United States

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What I'm looking for

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

I am an accomplished Lead AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying scalable machine learning systems in production environments. My expertise spans deep learning, generative AI, computer vision, NLP, and MLOps. I have a proven track record of leading cross-functional teams and mentoring junior engineers while driving innovation in AI-powered product development.

Throughout my career, I have designed and deployed end-to-end machine learning pipelines, built scalable MLOps workflows, and integrated real-time computer vision models into edge devices. My strong hands-on experience with frameworks like TensorFlow, PyTorch, and Scikit-learn, along with cloud platforms such as AWS and GCP, has enabled me to optimize model performance and ensure consistent accuracy in production. I am passionate about delivering impact through ML strategy, model governance, and end-to-end ML lifecycle management.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Covariant

Jan 2022 - Present (3 years 7 months)

Designed and deployed end-to-end machine learning pipelines on AWS SageMaker, incorporating data preprocessing, feature engineering, model training, and batch inference. Led a team of ML and data engineers to develop a multi-modal LLM-based recommendation system using Transformers and LangChain.

AWS Sagemaker LLMs)Transformers Lang Chain MLFlow Airflow Docker Kubernetes OpenCV YOLOv5 YOLO V5

Senior Machine Learning Engineer

Amazon

May 2019 - Dec 2021 (2 years 7 months)

Built and deployed forecasting models using XGBoost, Prophet, and LSTM for demand prediction across retail clients. Created custom NLP pipelines for entity extraction and document classification using SpaCy and BERT.

XGBoost Prophet NLP SpaCy BERT fastAPI Docker Prometheus Grafana Apache Spark Airflow GitHub Actions)MLFlow Onnx

ML Engineer & Data Scientist

Deepgram

Jan 2017 - Apr 2019 (2 years 3 months)

Engineered classification models using Scikit-learn and XGBoost for fraud detection in financial transactions. Developed and deployed clustering algorithms for customer segmentation, driving targeted marketing campaigns.

scikit learn XGBoost Apache Spark Hive RESTful APIs

Data Scientist

Enigma Tech.

Jun 2014 - Dec 2016 (2 years 6 months)

Built regression and classification models to analyze user behavior and product usage data. Conducted feature engineering and exploratory data analysis to improve model performance.

Regression Models Classification Tableau SQL Python