Ostap

Ostap Mnykh
Lviv, Ukraine | § GitHub | ï LinkedIn | # [open contact info](look above in the "contact info" section) |
H [open contact info](look above in the "contact info" section)

Projects
Secure Messenger GitHub
Developed a secure, real-time messaging application featuring end-to-end encryption,
built with a Django backend, React frontend, and PostgreSQL database, and deployed
using Docker
AI-Tutor GitHub
AI Tutor is a full-stack personalized learning platform for Ukrainian schools that uses a
FastAPI + React stack with a LangGraph-orchestrated RAG pipeline grounded in offi-
cial textbooks to help teachers generate lessons, tests, and analytics while giving students
adaptive assessments, feedback, and learning summaries; it supports multi-subject cur-
ricula, performance-based clustering, and optimized response times with Redis caching
and monitoring

Education
2024 - present Bachelor of Science in IT and Business Analytics, Ukrainian Catholic
University (GPA: 88.52) (6-th in rate of my program)

Extracurricular Activities
RoboSumo (1st place) Dec 2024
Built autonomous sumo-robot control logic in C, implementing edge-detection and
opponent-search strategies that won every match and secured 1st place among 10 teams

Robotics Hackathon (powered by Eleks) (3rd place) Feb 2025
Designed and built a robot to traverse a 2-meter rope, balancing speed, efficiency, and
structural reliability to place 3rd
Genesis Analytics Hackathon Mar 2025
Analyzed a company’s(Obrio) market and payment domain to identify key anomalies
and patterns, delivering data-driven insights to inform its growth strategy
Software Robotics Hackathon May 2025
Programmed an Arduino Nano to navigate a robot through a maze autonomously

Lapathon 2026 (2nd place) Jan 2026
Delivered an AI Tutor built on a FastAPI + React stack with a LangGraph-orchestrated
RAG pipeline; earned recognition from the jury and an offer from Mriya to build on our
implementation

Skills
Languages Python, Java, JavaScript, TypeScript, R, SQL, Lua
AI/LLM RAG, embeddings vector search, prompt engineering, structured output,
LLM evaluation (RAGAS)
Technologies and Frameworks Django, Pandas, React, Docker, Algorithms, Data
Structures, Web application deployment and hosting(DigitalOcean), LangChain,
LangGraph, n8n
Data/ML scikit-learn (regression, tree-based, clustering)
Agentic coding skills Claude Code, Codex, Antigravity, Copilot, Cursor