Martin Hwasser
AI Engineer at Stilla
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolMartin Hwasser is an AI engineer with 15+ years in software development and seven years focused on machine learning, currently building AI products at Stilla after leading ML efforts at Northvolt. He specializes in taking prototypes to production across sectors—manufacturing AI, edge defect detection, agentic systems, and battery modeling—while also coaching and scaling teams. A practical back-end and data engineer, he has contributed to Airbyte by enhancing vector database connectors (Pinecone, Chroma) and integrating multiple embedders including Azure OpenAI. Martin combines academic rigor (MSc in Machine Learning from KTH) with hands-on product experience dating back to founding engineering roles at Readmill and early mobile/iOS work. Based in Stockholm, he’s passionate about continuous learning and solving messy real-world data problems, often bridging research ideas with production-grade pipelines. An uncommon strength is his fluency across embedded ML, data engineering, and deployment—making him effective at shipping end-to-end AI systems.
15 years of coding experience
10 years of employment as a software developer
Music Production, Music Production at KulturamaMaster's degree Machine Learning, Master's degree Machine Learning at KTH Royal Institute of TechnologyFrench, French at Stockholm University
Stackoverflow
3,373reputation
230kreached
76answers
14questions
ios
top-5%
objective-c
top-5%
Github Skills (29)
python10
airbyte10
data-engineering10
vector-database10
data-integration10
langchain9
ios9
objective-c9
pinecone9
azure-openai9
openai9
data-pipeline8
data-pipelines8
etl8
chromadb8
Programming languages (11)
Github contributions (5)
airbytehq/airbyte
Sep 2023 - Nov 2023
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:7 PRs, 6 comments, 3 issues in 2 months
Contributions summary:Martin primarily contributed to the development of destination connectors, particularly for vector databases like Pinecone and Chroma, within the Airbyte data integration platform. Their work involved integrating with various embedders (Azure OpenAI, OpenAI, Cohere), managing configurations, and implementing indexing functionalities. They also added support for Azure OpenAI and refactored vector-based CDK components, specifically adding the ability to remap field names. Overall, the user focused on enhancing the platform's capabilities related to vector database integrations and data processing for AI-related applications.
operationpythondataintegration-platformdata-warehouse
hwaxxer/dotfiles
Mar 2016 - Mar 2025
Contributions:14 pushes, 1 branch in 9 years 1 month
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