Aapo Kyrölä

Helsinki, Finland

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Summary

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Rockstar

Aapo Kyrölä is an entrepreneur and engineering leader with 12 years of experience building scalable AI and distributed systems, currently developing Time Atlas Labs in Helsinki. He founded the Moves app and was an early creator at Habbo Hotel, later contributing at Facebook, NVIDIA and Cerebras, and holds a PhD from CMU. Technically hands-on, he has contributed to major open-source ML infrastructure—adding multinode AWS Batch support to Netflix’s Metaflow—and worked on large-scale graph processing in GraphChi’s C++ codebase. He combines product-level founder instincts with deep systems and MLOps expertise, moving prototypes into production-ready, distributed workflows. Less obvious: his background spans both social consumer products and cutting-edge AI hardware/software firms, giving him rare perspective on user-facing product design and low-level performance engineering.

12 years of coding experience

Stackoverflow

Stats

1,100reputation

75kreached

20answers

0questions

Badges

vectorization

top-5%

Github Skills (27)

graph-algorithms10

c-language10

preprocessing10

python10

preprocess10

data-structure10

mlops10

aws10

data-structures10

cprogramming-language10

aws-batch10

template-metaprogramming9

vectorization9

machine-learning8

kubernetes7

Programming languages (4)

JavaC++ShellPython

Github contributions (5)

GraphChi/graphchi-cpp

Jul 2013 - Jan 2019

GraphChi's C++ version. Big Data - small machine.

Role in this project:

Back-end Developer

Contributions:77 commits, 1 PR, 4 pushes in 5 years 6 months

Contributions summary:Aapo appears to have contributed to the C++ version of the GraphChi project by restoring a templated version of a file and merging changes related to preprocessing. Their work involved modifications to the `conversions.hpp` and `sharder.hpp` files, indicating involvement in data processing and graph construction. Furthermore, the commits touch upon toolkits, suggesting broader system integration or maintenance responsibilities.

small-datacppmachine-learningbig-data

Netflix/metaflow

Sep 2021 - Jan 2022

Build, Manage and Deploy AI/ML Systems

Role in this project:

MLOps Engineer

Contributions:26 reviews, 33 commits, 26 PRs in 4 months

Contributions summary:Aapo's commits primarily focus on enhancing the `netflix/metaflow` repository by adding support for multinode execution within the AWS Batch plugin. This includes modifying the `batch_client`, `batch_decorator` and other related files to enable parallel processing. Furthermore, the user made changes to enable multinode for UBF(unbounded-for-each) support, demonstrating expertise in integrating cloud-based services with Metaflow's core functionalities. These modifications allow for distributed tasks to be performed via AWS Batch and improve execution speed and resource utilization of the ML workflows.

pythonml-infrastructureclir-packagescience

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