Open to opportunities

Babak Baradaran

@babakbaradaran

Message

I build production generative AI, ML platforms, and recommendation systems that deliver measurable business outcomes.

Canada

Message

What I'm looking for

I'm looking to lead end-to-end AI and ML products, from architecture through deployment and monitoring, with measurable business impact in generative AI, agents, forecasting, and enterprise MLOps.

I've led production AI and ML delivery at Lululemon, Norland Limited, DHL Supply Chain, and Digital Ascent Technologies, from forecasting platforms and recommenders to document-understanding systems and enterprise LLMOps.

At Lululemon, I own the roadmap for global ML forecasting platforms across APAC, EMEA, and North America, and built a personalized recommender serving millions of shoppers that lifted conversion by 12%. At Norland, I shipped a Google Document AI system processing 200k+ invoices and recovering $1.2M in annual leakage, while SageMaker agents reduced forecasting error by 20%.

I bring 10+ years of hands-on experience spanning generative AI, agents, machine learning, data engineering, cloud MLOps, deployment, monitoring, and continuous improvement across AWS, Azure, GCP, Databricks, and Snowflake.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Lululemon Athletica

Oct 2025 - Present (10 months)

Owned the roadmap for global ML forecasting platforms across APAC, EMEA, and North America. Led Databricks pipeline redesign and built automated model lifecycle frameworks, improving reliability and reducing time from idea to outcome. Deployed a personalized recommender serving millions of shoppers, lifting conversion by 12%.

Machine Learning Forecasting Databricks Model Lifecycle Experimentation Governance Validation Deployment

Senior AI Systems Engineer

Norland Limited

Dec 2024 - Oct 2025 (10 months)

Shipped a production document-understanding system on Google Document AI with custom NLP parsers, processing 200k+ invoices and recovering $1.2M in annual leakage. Deployed SageMaker agents for capital investment ROI simulation, cutting forecasting error by 20%. Standardized the LLMOps pipeline on MLflow, reducing development-to-production time by 25%.

NLP Sagemaker MLFlow LLMOps MLOps Python AWS

Data Engineer

DHL Supply Chain

Feb 2024 - Jul 2024 (5 months)

Built Airflow ETL across 10+ global sources, reducing reporting latency by 40%. Tuned Snowflake partitioning and indexing for 35% faster queries.

Airflow ETL Snowflake Data Engineering SQL

Senior Machine Learning Engineer

Digital Ascent Technologies

Jun 2020 - Feb 2024 (3 years 8 months)

Fine-tuned and deployed BERT models for churn prediction at 85% accuracy, preventing $3M in annual client losses. Cut transformer inference memory by 40% via distillation and led 5 engineers migrating the platform to Databricks.

BERT Fine Tuning Distillation Databricks Machine Learning PyTorch TensorFlow Leadership

Data Scientist

Trendyol

Apr 2019 - Apr 2020 (1 year)

Forecasted SKU-level demand with Prophet and XGBoost, increasing inventory turnover by 15%. Engineered Spark/TensorFlow recommendation features, lifting peak click-through rate by 10%.

Prophet XGBoost Spark TensorFlow Demand Forecasting Recommendation Systems