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MYKYTA MYKHALCHENKO [відкрити контакти](див. вище в блоці «контактна інформація»)
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PYTHON ENGINEER
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PROFILE WORK EXPERIENCE

Python Engineer with strong proficiency in SignalHire July 2025 – June 2026
FastAPI and SQLAlchemy, along with hands-on Middle Python Engineer
experience with PostgreSQL, including DDL
Developed an embedding service based on
and DML scripts. With a solid mathematical
ChromaDB for storing and managing vectorized data,
background, I am skilled at implementing
including version control for different dataset
complex algorithms using NumPy, pandas,
variations.
SciPy, and deap. Built an MCP-based project demonstrating how MCP
works and how to create an LLM chat system
I have practical experience building AI/LLM- integrated with external tools and services.
based solutions, including AI agents, prompt Developed a service for company name search and
engineering, RAG workflows, vector databases, renaming using LLMs, including prompt design, API
and NLP tasks such as information extraction, implementation, and database integration.
classification, entity recognition, and text Built a RESTful API service for storing and managing
processing. deep learning tasks, including user management, LLM
model configuration, and dataset upload support.

SKILLS
InsAIder Sep 2023 – June 2025
Python (Asyncio), FastAPI, Django/DRF, Startup / Freelance
Flask, Celery, REST, GraphQL Intern / Junior Python Engineer
PostgreSQL (indexing, query
optimization), MySQL, Redis Developed a modular framework for streamlined
Docker, Linux/Bash, Git plugin development, enabling easy integration and
Pytest, Mocking extensibility of new functionality.
NumPy, pandas, SciPy, deap Built scraping tools and API integrations for extracting
ChromaDB, RAG, LangGraph structured data from diverse external sources.
LLM, Prompt Engineering, Unsloth Applied prompt engineering techniques to optimize
RabbitMQ LLM outputs for domain-specific tasks.
EDUCATION Designed and implemented optimization algorithms to
solve complex logistics and routing problems.
Developed machine learning and statistical models for
National University "Odesa Polytechnic" time-series forecasting and predictive analytics.
Bachelor’s Degree in Applied Mathematics Implemented a Retrieval-Augmented Generation (RAG)
2018 – 2023 system to enhance the contextual reasoning
capabilities of LLM-based agents.