Alexandr Dikov ML Engineer
NLP/CV

ML Engineer with 3 years of practical experience in experiments, model training, and production services across NLP, CV, and SciML.

I work at the intersection of applied research and ML engineering: from data pipelines and model development to fine-tuning, inference, and monitoring. My focus is NLP, CV, and LLM systems, including agentic RAG architectures for documentation-heavy domains. I turn research ideas into robust practical solutions with reproducible experiments, clear quality metrics, and production reliability. I also keep building expertise in diffusion and multimodal models, as well as MLOps practices.

Tech Stack

PyTorch
Transformers
PEFT
OpenCV
LangChain/LangGraph
LangFuse/LangSmith
scikit-learn
scipy
numpy
pandas
ONNX
TensorRT
Triton
vLLM
Faiss/ChromaDB/Qdrant
Sphinx
Docker
Linux
Prometheus
Grafana
PostgreSQL
REST/gRPC API
fastapi/fastmcp

Repositories

Selected projects focused on applied ML engineering and research.

PINN

Public repository

Physics-Informed Neural Networks: research experiments, benchmarks, and comparative tests of PINN variants.

SciML PINN
Open

AtomRAG

Private repository

RAG system for technical documentation: indexing, retrieval, response generation, and chat history. Built with LangChain, semantic routing, agentic search, and MCP.

RAG LLM
Private

dico

Private repository

Research repository for a [paper](https://ieeexplore.ieee.org/document/11314568/) on diffusion LLMs, focused on generation steps, resampling strategies, and quality-impact factors.

NLP/CV Research
Private

fine-tune-platform

Public repository

Platform for fine-tuning experiments and CV model comparison, built during the Leaders of Digital Transformation hackathon.

Fine-tuning MLOps
Open

Course Repositories

  • MLCourse97 — machine learning course materials and hands-on practice.
  • MLLearning — advanced NLP, CV, and MLOps study materials.
  • PythonCourse — practical Python fundamentals and exercises.
  • CppCourse — C++ fundamentals, OOP, algorithms, and data structures.
  • NumericalMethods — numerical methods tasks and implementations.

Hackathon and Competition Repositories

Get In Touch

↓ Projects