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Hampus Hallman

@hampushallman

Data Scientist at Algorithmia, where I built an AWS-native streaming platform processing 45 million daily events.

At Algorithmia, I led architecture and production ownership of an AWS-native streaming platform processing 45 million daily events. It delivered enriched customer activity signals to product APIs and machine-learning services, with 99.95% pipeline availability.

I engineered event enrichment and data-quality pipelines that reduced processing failures by 58% and undetected data defects by 65%. I also improved customer-facing query latency by 42% and cut monthly AWS expenditure by 29%.

Previously, at Captario AB, I architected Python and SQL data platforms on AWS and built Kafka and Kinesis pipelines processing approximately 12 million events daily. Across my work in data science and software engineering, I’ve developed production data pipelines, machine-learning services, and customer-facing applications.

Experience

Work history, roles, and key accomplishments

Lead Data Scientist

Algorithmia

Sep 2024 - Apr 2026 (1 year 7 months)

Led architecture and production ownership of an AWS-native streaming data platform processing 45 million daily events. Engineered real-time ingestion and enrichment pipelines, reducing processing failures by 58% and AWS expenditure by 29%.

Senior Data Engineer

Captario AB

May 2019 - Aug 2024 (5 years 3 months)

Architected production-grade Python and SQL data platforms on AWS, integrating ingestion, enrichment, transformation, and serving layers. Designed Kafka and Kinesis pipelines processing 12 million daily events, reducing data availability latency from 15 minutes to under 90 seconds.

Python SQL AWS Kafka Amazon Kinesis AWS Glue PySpark PostgreSQL Amazon Redshift Terraform GitHub Actions Docker Prometheus Grafana Cloudwatch Data Quality CI CD ETL Data Modeling

Data Scientist

Cygni

Mar 2019 - May 2020 (1 year 2 months)

Developed production Python data pipelines using Pandas, NumPy, and Scikit-learn, transforming customer datasets into validated features. Designed incremental ETL workflows and built containerized inference services, improving data consistency by 34% and reducing processing times by 31%.

Python Pandas NumPy scikit learn SQL PostgreSQL ETL Docker REST APIs Pytest CI CD Data Quality

Software Engineer

Wrkat

Mar 2018 - Oct 2019 (1 year 7 months)

Engineered React and TypeScript applications consuming RESTful microservices, integrating customer activity data into responsive interfaces. Implemented Python and Node.js API integrations and optimized PostgreSQL queries, reducing API response latency by 28%.

React TypeScript Python NodeJS REST APIs PostgreSQL GitHub Actions Jest CI CD Integration Testing

Co-Founder & Software Engineer

Aidonair

Jan 2017 - Sep 2019 (2 years 8 months)

Architected and launched a cloud-hosted product platform using React, TypeScript, Python services, and PostgreSQL. Developed ETL processes and automated AWS deployments, reducing manual release effort by 50% and improving retrieval performance by 35%.