Aliaksei Kaliutau

Software Engineer/Researcher.

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I’m an experienced researcher and software engineer with more than a decade of experience in R&D, expert knowledge of ML/AI (Deep Learning, LLM, GAN, RAG). My work focuses on robotics, industrial ML and AI, cloud technologies, intelligent automation, and AI research. I bridge research and engineering, hardening prototypes into secure, scalable, and production-ready systems.

Research Interests: Reliable Machine Learning, Time-Series Analysis, Predictive Maintenance in Industrial Robotics, Causal Reasoning in LLMs, application of AI in various industries.

Currently leading Monodromy Labs

news

Apr 29, 2026 Finalist in Claude Code 4.7 Hackathon (over 20K applicants, 500 participants were selected, and 288 projects submitted). Won $500 worth of compute credits for Claude Code from Anthropic
Apr 16, 2026 Won $2000 worth of compute credits from Modal to complete my research for AIMO4/ARC projects!
Nov 21, 2025 Thrilled to be a finalist at the Bradford Quantum Hackathon 2025!
Sep 16, 2025 Successfully defended my MSc thesis in AI and Materials Science, advised by Dr. Zhenzhu Li

latest posts

selected publications

  1. arXiv
    Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance
    Aliaksei Kaliutau
    2025
  2. MSc
    Enhancing the Reasoning of LLMs in Materials Discovery via Causal Contracts
    Aliaksei Kaliutau
    MSc thesis, Imperial College London, 2025