Mykola Pavlov
Head Of Machine Learning at Miltech FTW!
Kharkiv, Kharkiv Oblast, Ukraine
Summary
👤
Senior🎓
Top SchoolMykola Pavlov is a Head of Machine Learning with 13 years of experience building production-ready AI and signal-processing solutions, currently leading ML efforts at Miltech FTW! in Kharkiv. He blends deep data science expertise (time series, DSP, prediction modeling) with strong software engineering skills in Spark, Python, Scala and R, and a history of shipping cross-platform products — including MLPNeuralNet, a popular fast MLP library for iOS/macOS with notable community adoption. A long-time organizer of the Kharkiv AI Club, he pairs hands-on model implementation and testing with product-focused thinking from multiple startup and ambassador roles. His background spans from embedded motion-tracking apps (30k downloads) to revenue-intelligence analytics, and he often brings signal-processing intuition to ML problems where temporal structure matters.
13 years of coding experience
15 years of employment as a software developer
Kharkiv National University of Radio Electronics
English, Russian, Ukrainian
Stackoverflow
706reputation
66kreached
2answers
4questions
Github Skills (17)
objective-c10
acc10
acceleration10
machine-learning10
accelerator10
neural-network10
ios9
c178
c118
data-visualization6
cluster-analysis6
igraph6
subgraph6
iphone6
accelerate-framework6
Programming languages (10)
Github contributions (5)
nikolaypavlov/MLPNeuralNet
Sep 2013 - Jul 2016
Fast multilayer perceptron neural network library for iOS and Mac OS X
Role in this project:
ML Engineer
ML EngineerContributions:125 commits, 8 PRs, 33 pushes in 2 years 10 months
Contributions summary:Mykola primarily focused on developing a multilayer perceptron neural network library. They introduced the core MLPNeuralNet class and implemented the forward propagation algorithm, including activation functions like sigmoid, tangent, and ReLU. Furthermore, they added test cases demonstrating the functionality of the neural network for AND, OR, XNOR, and a Python Neurolab compatibility test. They also addressed bugs related to index and weight matrix size calculations.
iosmacosneural-networkperceptron
nikolaypavlov/r-workshop
Dec 2015 - Jun 2016
Contributions:7 commits, 4 pushes, 1 branch in 6 months
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