Zurich, Switzerland

Anton Maksimov

AI & Machine Learning Engineer

About Me

PyTorch
Anton Maksimov

Last updated: 2026-08-26

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

Nov. 2024 - Jan. 2026

(Senior) AI Engineer, Intellis AG, Zug

Machine Learning (PyTorch, Python, MLflow, Dagster, Docker)

Led the ML & research team of an AI trader for forex and crypto prices Details
  • Rebuilt the train and back-test pipeline from scratch, then added experiment tracking, quality control, and CI/CD
  • Set the team’s research process — goals, plans, and how ideas moved from paper to production
  • Stack: Python, PyTorch, MLflow, Docker, Dagster, GitLab
Nov. 2021 - Aug. 2024

Machine Learning/Software Engineer, xorlab AG, Zurich

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

Built an email ML classification system from scratch to production (f1 > 95%, ~200K users) Details
  • Streamed ETL pipelines for cleaning, enhancement, and class balancing, with MLOps on AzureML
  • Tuned models with Optuna and improved reliability and explainability (LIME, SHAP)
  • Infrastructure: CI/CD (Jenkins, Gradle, Docker), monitoring (Prometheus), API (Flask)
  • Research on phishing/spam attacks, anomaly detection, and NLP
Mar. 2021 - Aug. 2021

Data Science Research Assistant, ETH Zurich

Big data processing for economics (Python, GIS) — KOF / public economics

Automated alignment of terabytes of nightlight data with maps to measure economic activity during Covid Details
  • Part-time (35%) research assistant role
  • Built a pipeline over GeoTIFF light maps and communal GIS borders (QGIS)
  • Code: GIS_light

Education

2024 - 2026 Present

Continuing education

Generative AI, agents, and data engineering — Hugging Face, IBM, DeepLearning.AI, Neuromatch

Courses alongside independent RAG/agent projects Details
Sep. 2019 - Sep. 2021

MSc, ETH Zurich

Computational Science and Engineering, specialization in Robotics

GPA 5.55/6.00 (top 20%), ETH Merit Scholarship (rate < 5%) Details
  • Completed 136 ECTS in one year (60 required)
  • Thesis: Hyperbolic Heterogeneous Graph Neural Nets — grade 5.5/6.0
  • Collaboration with eBay on transaction fraud detection; proposed transformers with mixed node and edge types
  • Relevant courses: Advanced Machine Learning, Deep Learning, Computer Vision, Data Modeling and Databases
Sep. 2015 - Aug. 2019

BSc, Moscow Institute of Physics and Technology

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

GPA 4.96/5.00 (top 10%), merit-based alumni and state stipends (rate < 5%) Details

Projects

2026

Telegram bot for answering questions on history of the chat

RuKAV/RuPR - Russian-speaking communities

Bot allowing users to smartly search over the chat history and answer, using RAG and LLM

2026

Telegram bot for book/film clubs

RuKAV/RuPR - Russian-speaking communities

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

2026

RuKAV website

RuKAV - Russian-speaking Cultural and Academic Association in Zurich

Website for RuKAV, connecting Russian-speaking students, employees and alumni of ETH, UZH and other institutions in Zurich

2021

Master thesis "Hyperbolic Heterogeneous Graph Neural Networks"

ETH Zurich (D3Slab, 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

2020

Semester thesis "Hierarchical Variational Inference for Federated Learning"

ETH Zurich (Information Science and Engineering Laboratory)

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

2020

Seminar in Robotics for CSE "GPU-based feature matching"

Sevensense Robotics AG & ETH Zurich (Autonomous Systems Laboratory)

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.

2019

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

ETH Zurich

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

2019

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

ETH Zurich

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

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.

2017

Summer internship "Big microscopic data compression"

ETH Zurich

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

2016

Linux- and C-based server

MIPT

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

2015

3D-shooter for the course "Computer Science"

MIPT

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