Open to opportunities

Milos Stamenic

@milosstamenic

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AWS data engineer and ML practitioner who builds scalable pipelines, analytics, and production ML solutions.

Canada

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What I'm looking for

I seek a role where I can build production-grade data platforms and ML systems, drive analytics migrations, and work with cross-functional teams to deliver measurable business impact.

I am an AWS-certified Data Engineer and ML practitioner who designs secure, cost-predictable data platforms and production ML systems. I build streaming and batch ingestion pipelines, ELT into Redshift, and infrastructure-as-code to improve reliability and observability.

My work includes engineering a RAG customer-support chatbot with end-to-end logging and analytics that reduced support tickets by ~45%, leading a company-wide BI migration that cut license costs by 40%, and designing OCR+LLM inspection systems that trimmed manual review time by 65%.

I also develop ML models for churn prediction, inventory forecasting, and metabolomics research, author modular dbt models with CI/CD, and deploy models using TensorFlow, PyTorch, SageMaker and related AWS services.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Happiest Baby

Jul 2023 - Present (2 years 3 months)

Designed and operated a secure, scalable AWS data platform with streaming and batch ingestion, ELT into Redshift, IaC and observability, improving reliability and cost predictability; led a company-wide BI migration that reduced BI license costs by 40%.

SQL DBT Redshift AWS Glue Kinesis S3 Athena Terraform CI CD

Machine Learning Engineer

Happiest Baby

Dec 2022 - Jul 2023 (7 months)

Built ML systems including a RAG customer-support chatbot and OCR-LLM inspection pipeline that reduced support tickets ~45% and trimmed manual review time 65%; developed churn and demand-forecasting models to improve product and inventory outcomes.

PyTorch TensorFlow Sagemaker Bedrock CI CD

Research Data Scientist

University of Toronto

Jun 2022 - Sep 2022 (3 months)

Developed bioinformatic tools and Python/R algorithms for metabolomics data processing and contaminant reduction, enabling quantitative analysis and metabolite identification.