Mikko Kotila
Advisor at Autonomio
Helsinki, Finland
Summary
🤩
Rockstar🎓
Top SchoolMikko Kotila is an advisor and serial founder with over 25 years of hands-on experience turning research-led ideas into high-performance, productized software and media businesses. Based in Helsinki, he blends deep practical expertise in scalable analytics, NLP and computational efficiency with a persistent focus on emerging risks in advertising tech and decentralization—work that has drawn coverage from the Financial Times, Wall Street Journal and Bloomberg. He has co-founded and led multiple startups (including STATSIT, Cavai and Aecmaster), driven engineering breakthroughs that improved throughput and storage efficiency by orders of magnitude, and helped raise venture financing while serving as CTO and technical lead. An active open-source educator, Mikko contributes pedagogical Jupyter notebooks and backend work on hyperparameter tooling, reflecting a commitment to accessible numerical computing and ML infrastructure. His advisory roles span UNICEF, WFA and numerous startups, where he translates breakthrough technology and data opportunities into measurable strategy and product outcomes. A self-taught technologist comfortable from low-level optimization to organizational strategy, he combines research credibility with relentless product focus.
10 years of coding experience
19 years of employment as a software developer
I have no formal education
English, Finnish, Japanese, Chinese, Indonesian, Swedish, bahasa malayu
Stackoverflow
1,413reputation
1.2mreached
26answers
5questions
pandas
top-5%
python
top-5%
Github Skills (15)
algorithm10
hyperparameter-optimization10
keras10
jupyter-notebook10
machine-learning10
deep-learning10
tensorflow10
py10
python10
pandas9
seaborn6
string-length6
lstm6
dataframe6
matplotlib6
Programming languages (20)
Github contributions (5)
autonomio/talos
May 2018 - Sep 2022
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 releases, 1 review, 503 commits in 4 years 5 months
Contributions summary:Mikko appears to be a back-end developer primarily focused on contributing to a hyperparameter optimization framework for deep learning. Their initial commit and subsequent changes involve creating the core functionality of a `Hyperio` class, which includes data splitting, early stopping callbacks, and parameter grid creation. They further developed the functionality for running, logging, and saving the results from hyperparameter scans.
pytorchhyperparameterdeep-learningoptimizationmachine-learning
eka-foundation/numerical-computing-is-fun
May 2017 - Jan 2019
Learning numerical computing with notebooks for all ages.
Role in this project:Technical Writer & Educator
Technical Writer & EducatorContributions:32 commits, 2 PRs, 28 pushes in 1 year 9 months
Contributions summary:Mikko primarily contributes to the repository by creating and expanding upon Jupyter notebooks that serve as educational guides for numerical computing. Their work focuses on introducing fundamental programming concepts in Python and applying them to mathematical problems, including prime numbers. The commits demonstrate a focus on pedagogical content, including explanations, examples, and visual aids, aimed at a broad audience. The user's contributions are centered on creating accessible learning materials.
agespythonnumerical-computingmathematicsmathematica
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