About Me

Anton Maksimov

Last updated: 2026-05-28

I'm broadly interested in how the technologies work and ultimately - the world. Previously being immersed into maths, physics and biology, now I explore machine learning and artificial intelligence as a whole, not forgetting also to expose myself to music, long-waiting humanities (philosophy, sociology, psychology, ...) and volunteering in organizing different communities.

Career

(Senior) AI Engineer, Intellis AG, Zug

Machine Learning (Pytorch, Python)

Nov. 2024 - Jan. 2026
Leading AI-trader development - for prediction of prices of various assets

Machine Learning/Software Engineer, xorlab AG, Zurich

Machine Learning (Python) and general Software Engineering (Java) - for automatic spam/phishing email detection

Nov. 2021 - Aug. 2024
Leading ML development project from scratch to production

Education

MSc, ETH Zurich

Computational Science and Engineering, specialization in Robotics

Sep. 2019 - Sep. 2021
GPA 5.55/6.00

BSc, Moscow Institute of Physics and Technology

Applied Mathematics and Physics with advanced program, specialization in Bio- and Computational Physics

Sep. 2015 - Aug. 2019
GPA 4.96/5.00

Projects

2026

Telegram bot for book clubs

Bot allowing users to add and vote on the books, with extended security and admin capabilities

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2021

Master thesis "Hyperbolic Heterogeneous Graph Neural Networks" in D3Slab of ETH Zurich (prof. Ce Zhang)

Explored ways for constructing Graph Neural Networks to work with the graph data having multiple node/relation types while using advantages of the embeddings into hyperbolic space - for tasks like fraud detection. Grade 5.5/6.

2021

Research Assistant project on geospatial big data analysis, KOF ETH Zurich

Setting up a pipeline to process light-map GeoTIff and communal borders' GIS (QGIS) data for economic analysis of the COVID-19 pandemic restrictions

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2020

Semester thesis "Hierarchical Variational Inference for Federated Learning" in Information Science and Engineering Laboratory, ETH Zurich

Implemented hierarchical Bayesian network on TensorFlow labeling handwritten digits using group-wise similarity

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2020

Seminar in Robotics for CSE "GPU-based feature matching", Sevensense Robotics AG and Autonomous Systems Laboratory, ETH Zurich

Implemented and analyzed GPU-based feature matching (80x faster than CPU). Literature review on the modern approaches for describing and matching images in computer vision.

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2019

Team project "Deep Learning-based Recommendation Systems" for the course "Deep Learning"

Analyzed and compared different approaches to modern recommendation systems. My part was based on Graph Neural Network.

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2019

Team project "Waterboat" for the course "Physically-based Simulation"

Physically-credible efficiently optimized on C++ simulation of the boat floating on water waves.

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2019

Bachelor thesis "Pipeline for search of off-target ligand connections"

Designed flexible pipeline of search of the most similar input biological ligands/targets/complexes in various databases.

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2017

Summer internship at ETH Zurich "Big microscopic data compression"

Research of data compression for 3D temporal images of fish embryo development.

2016

Linux- and C-based server

Server-client architecture where server performs Cron and parallel gzip operations on clients' requests

2015

3D-shooter for the course "Computer Science"

Running in randomly generated labyrinth with stalking huge scary snowmen to be killed by throwing snowballs