Skip to content
View Eg0Mak's full-sized avatar

Highlights

  • Pro

Block or report Eg0Mak

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Eg0Mak/README.md

Hey! Welcome to my GitHub page

👋 Hi, I'm Egor Shipilov

🔬 Research Intern in Machine Learning & Quantum Technologies

🐍 Machine Learning Engineer focused on Classical ML, LLMs & RAG

🚀 Building AI agents, conducting research, and shipping real-world ML projects


About me

I'm a Bachelor's student in Applied Machine Learning at the Financial University under the Government of the Russian Federation (2024–2028).

Currently, I work as a Machine Learning Research Intern, where I conduct research in quantum machine learning and participate in scientific publications.

My main interests include:

  • Machine Learning
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Deep Learning
  • Python Development

I enjoy building practical AI systems—from research prototypes to production-ready applications. My recent projects include local LLM agents, RAG systems, SQL optimization assistants, and computer vision applications.

Contacts

Pinned Loading

  1. LocalScriptLocalScriptPublic

    Local AI agent for Lua code generation with Ollama, FastAPI, validation loop, and automatic self-repair

    Python

  2. AURAAURAPublic

    Hybrid RAG system for document question answering with FAISS, TF-IDF, Cross-Encoder reranking, and Gradio UI

    Python

  3. VQCvsMLPVQCvsMLPPublic

    Comparative study of Variational Quantum Classifiers and MLPs on synthetic datasets with metrics, decision boundaries, and AUC analysis

    Jupyter Notebook

  4. barren-plateau-analysisbarren-plateau-analysisPublic

    Gradient-based analysis of barren plateaus in variational quantum classifiers with VQC, hybrid VQC, MLP baselines, and ansatz diagnostics

    Jupyter Notebook

  5. AQUAAQUAPublic

    LLM-powered SQL optimization service with RAG, SQLCoder fine-tuning, FastAPI, and custom query benchmarking

    Jupyter Notebook 1

  6. Lead-Scoring-EnsembleLead-Scoring-EnsemblePublic

    Machine learning solution for ranking incoming leads by their probability of completing a target conversion event.

    Jupyter Notebook