Hannes Kindbom
Senior Data Scientist
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHannes Kindbom is a Senior Data Scientist with 7 years of hands-on experience building and shipping LLM-powered products and end-to-end ML systems across cloud platforms (AWS, GCP) for fintech and insurtech. He led the creation of 9fin AI—an agentic RAG system and earnings-transcript tool—and has deep expertise in NLP/LLMs, entity linking, search, and production orchestration using SageMaker, BigQuery, dbt, Elasticsearch and serverless components. Known for breadth as much as depth, he combines research experience, full-stack implementation skills and analytics engineering to own the full product-to-model lifecycle. A double master’s graduate from KTH with psychology and neuroscience coursework, he brings an unusual mix of technical rigor and human-centred insight to data problems. He’s a team player with top-5 placement in the Amazon Alexa Prize and a track record of quickly stepping into leadership roles, from public talks to spearheading AI initiatives. Based in London, he’s currently expanding into finance-focused projects and project management while exploring crypto and international perspectives.
7 years of coding experience
5 years of employment as a software developer
Natural Science Programme, 22/22.5, Natural Science Programme, 22/22.5 at Blackebergs gymnasiumM.Sc. Machine Learning, M.Sc. Machine Learning at KTH Royal Institute of TechnologyNational University of Singapore
Swedish, English, Spanish, Chinese
Github Skills (3)
python9
kubernetes9
face8
Programming languages (5)
Github contributions (5)
hkindbom/attribution-modelling
May 2021 - Jul 2021
Repository for two master thesis projects (machine learning and mathematics) within attribution modelling at KTH Royal Institute of Technology
Contributions:1 PR, 1 push, 1 branch in 2 months
machine-learning-projectsmathematicsmastermachine-learningattribution
hkindbom/SF2935-Statistical-Learning
Sep 2019 - Oct 2019
Contributions:6 pushes, 1 branch in 1 month
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