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Anders Huss

I thrive in the intersection of research, software engineering, and leadership.

Experience


CTO & Co-founderMovesta

May 2020 - Current, Stockholm

Movesta’s vision is to build the central node for the housing market ecosystem, making it more efficient and transparent.

  • Built up the team and technology platform from scratch.
  • Developed the market-leading automatic valuation model end-to-end, including data collection and ML pipelines.
  • Reached a revenue of € 20M second year of operation.
  • Raised € 5M in VC funding.

GCP. Python: ML-stack (TensorFlow, Luigi, W&B), FastAPI. Javascript: React, Redux, Firebase, Material UI. Docker.

Senior Machine Learning EngineerPeltarion

April 2019 - May 2020, Stockholm

Hired as lead ML Engineer in the Product team and tasked to bridge the gap to the Research department and ensure efficient integration of ML best practices and SOTA-methods into Peltarion’s no-code Deep Learning platform. Led the addition of:

GCP. Python: ML-stack (TensorFlow). Java. Docker.

CTO, Founding TeamSana Labs

Aug 2017 - Nov 2018, Stockholm

AI-powered personalized learning platform. First 5 months as advisor, before joining fulltime.

  • Led the development of a real-time educational content recommendation API, from early-stage research to production and launch with paying customers in < 8 months
  • Led the recruitment of the initial team
  • Raised a high-profile investor seed round at € 10M+ valuation

Golang, Python ML-stack (TensorFlow), GCP: ML Engine, App Engine, Data Flow (Scala), Big Table, Big Query, PostgreSQL

Head of Machine LearningWatty

Jan 2014 - Dec 2017, Stockholm

  • From Intern to heading the ML team (4-7 SWEs) in 1,5 years.
  • Drove the transition of Watty’s core technology for energy disaggregation to an end-to-end Deep Learning approach based on the application of Recurrent Neural Networks to asynchronous (event-driven) data streams.
  • Part of the strategic decision-making team (me + CEO and CTO) and had an active role in the fundraising of a € 3M seed round led by EQT Ventures.

AWS. Python: ML-stack (Pandas, Theano, TensorFlow). Cassandra, RabbitMQ, ELK-stack. Docker.

Education


MSc Machine LearningKTH

Aug 2013 - Dec 2014, Stockholm

Teaching assistant in Information Retrieval and Search Engines.
Half a semester remains to be completed for the diploma.

BSc Engineering PhysicsKTH

Aug 2007 - May 2009, Stockholm

Teaching assistant in Program Construction (Java).
Completed 3rd year in parallel with Military Officer Training.

BSc War StudiesFHS

Aug 2009 - May 2013, Stockholm

Including one semester of Learning and Leadership Theory.

Volunteering & Open Source


I am one of the co-founders of Stockholm AI and play an active role in the community through mentoring, moderating ML/AI-events, and giving technical talks. I am a proponent of open source and contribute when I find time, although as a startup founder (and parent) I have naturally dedicated most of my work to my commercial commitments.

Keras & TensorFlow Contributions

  • First accepted proposal for attention mechanisms in Keras: API Design Document, initial PR: #7980, example application replicating the “Neural Machine Translation” paper: #11421
  • RNN improvements: #11499, #11622, TensorFlow: #23676
  • Integration with Google Storage #11636

References


Integrity and genuine care for results and for those around me leave a mark. Please talk to those I have worked with. I am happy to provide contact details on requests.

“a great engineer and pleasure to work with [...] always be one step ahead in whatever he picks up”

Anton Osika, CTO @ Depict.ai (YC s20)

“an extraordinary intuition for machine learning, and is very good at seeing the broader picture”

Lars Sjösund, Research Engineer @ DeepMind