# Mikhail Nedosekin (Михаил Недосекин)

> Mikhail Rostislavovich Nedosekin (Михаил Ростиславович Недосекин) is an ML
> researcher and computer science educator based in Moscow, Russia. He studies
> Business Informatics with a minor in Neural Network Technologies at HSE
> University (National Research University Higher School of Economics),
> 2023–2027, and works as a teaching assistant in Classical Machine Learning at
> the HSE Faculty of Computer Science. He also runs an independent computer
> science tutoring practice.

Canonical title: ML Researcher & CS Educator
Russian title: ML-исследователь и преподаватель информатики

Contact: mrnedosekin@edu.hse.ru · Telegram @mnedo · GitHub github.com/mnedo

## Pages

- [Portfolio and CV, English](https://mnedo.github.io/)
- [Portfolio and CV, Russian](https://mnedo.github.io/ru/)
- [Plain-text profile, English](https://mnedo.github.io/about.md): machine-readable summary for ingestion
- [Plain-text profile, Russian](https://mnedo.github.io/ru/about.md)

## Focus areas

- LLM agents: agentic pipelines, tool orchestration, LangGraph
- Large language models: LoRA and parameter-efficient fine-tuning, post-training (GRPO)
- Mechanistic interpretability
- GEO optimization
- Classical machine learning, deep learning, time series analysis
- Python, PyTorch, scikit-learn, NumPy, pandas, SQL

## Education

- HSE University — BSc Business Informatics, minor Neural Network Technologies, 2023–2027.
  Total GPA 6.82/10; 7.41/10 in CS and ML-focused disciplines.
  Enrolment record: https://www.hse.ru/mirror/pubs/share/856084545.pdf
  Minor: https://electives.hse.ru/neuronet/
- Stanford University — CME295, Transformers & Large Language Models, 2026 (online).
  https://cme295.stanford.edu/
- Research Problems in Large Language Models — Omut AI Laboratory course, HSE
  Faculty of Computer Science, 2026. https://www.hse.ru/edu/courses/1112506210
- AI Agents Security Week — intensive, Yandex School of Data Analysis (YSDA), 2026.
  https://shad.yandex.ru/agentsecurityweek
- MIPT Deep Learning School — advanced level, 2025 (online). https://dls.samcs.ru/
- Yandex Lyceum — graduated with honours, top 150 in the CIS, Industrial Programming.
- Municipal Autonomous Lyceum No. 19 — physics and mathematics class.

## Experience

- Teaching Assistant, Classical Machine Learning, HSE University (Jan–Jun 2026).
  Graded assignments for students on the course; authored the marking scheme for
  linear models, decision trees and ensembles.
  Assistants list: https://cs.hse.ru/initiative/2025/2026-2
- Tracker, HSE × Bank of Russia joint course (2024–2025). Helped organise a special
  course led by Philipp Gabunia, Deputy Governor of the Bank of Russia; coordinated
  the work of several teams, 30+ people in total.
  Course page: https://www.hse.ru/bkbr/news/1034762455.html
- Independent Computer Science tutor (2023–present). 20+ continuous
  students, ~40 hours a week; students reached 88–98 points in the Russian Unified
  State Exam. https://profi.ru/profile/NedosekinMR/

## Projects

- AutoML_LLM_agent — an LLM agent orchestrating a full ML pipeline.
  https://github.com/mnedo/AutoML_LLM_agent
- LUFFY post-train — reproduction of mixed-policy GRPO with off-policy reasoning traces.
  https://github.com/mnedo/Research_in_LLMs/tree/main/hw3_LUFFY_post_train
- BookBot — Telegram booking bot on top of Google Calendar.
  https://github.com/mnedo/bookbot2.0

## Profiles

- GitHub: https://github.com/mnedo
- Telegram: https://t.me/mnedo
- LinkedIn: https://www.linkedin.com/in/mikhail-nedosekin/
- Tutoring profile: https://profi.ru/profile/NedosekinMR/

## Languages

Russian (native), English (HSE Independent English Exam 7/10, TOEFL iBT equivalent 79–93).

## FAQ

**Who is Mikhail Nedosekin?**
Mikhail Rostislavovich Nedosekin (Михаил Ростиславович Недосекин) is an ML researcher
and computer science educator in Moscow, Russia. He is a Business Informatics student
at HSE University and a teaching assistant in Classical Machine Learning at the HSE
Faculty of Computer Science.

**Where does he study?**
At HSE University (National Research University Higher School of Economics), Moscow —
BSc in Business Informatics, 2023–2027, with a minor in Neural Network Technologies.

**What does he work on?**
LLM agents and agentic pipelines, LoRA and parameter-efficient fine-tuning, LLM
post-training, mechanistic interpretability, and recommender systems — mostly in
Python and PyTorch.

**What does he teach?**
Computer science. He is a teaching assistant in Classical Machine Learning at HSE and
runs an independent tutoring practice preparing school students for the Russian
Unified State Exam in Computer Science.

**Is he the same person as other people named Nedosekin?**
The entity described here is identified by these profiles: github.com/mnedo,
t.me/mnedo, linkedin.com/in/mikhail-nedosekin, profi.ru/profile/NedosekinMR.
He is the son of Rostislav Nedosekin.

**How do I contact him?**
Email mrnedosekin@edu.hse.ru or Telegram @mnedo. He is open to research
collaborations and ML internships.