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ШІ-аналітик

Considering positions:
ШІ-аналітик, Інженер-програміст
Age:
18 years
City:
Khmelnytskyi

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Skills
Vladyslav Kepkin AI & Data
[open contact info](look above in the "contact info" section)[open contact info](look above in the "contact info" section)
Ollama, Prompt Engineering, Voice-To-
Profiles Text(STT), Data Preprocessing for LLMs

Dehimik Languages
GitHub
Python, Java, JavaScript, TypeScript, SQL
Summary
Infrastructures & OS
Detail-oriented Software Engineer with a strong focus on AI integration and
system infrastructure. Practical experience in building AI-driven prototypes,
Arch, Proxmox, Docker, Bash scripting
specifically in Speech-to-Text and data processing. Solid programming foundation
in Python, C++, and JavaScript, supported by 6 months of commercial Frameworks & Tools
development at Studiopresto and 2 years of technical tutoring. Proficient in
managing Linux environments (Arch/Proxmox) and containerization with Docker.
Tauri, Git, SQL
Eager to apply hands-on project experience to production-grade AI solutions.
Languages
Experience
Ukrainian
StudioPresto June 2024 - September 2024
Trainee
https://prestopro.webflow.io English

Collaborated with a cross-functional team to develop and maintain scalable web
applications.
Implemented responsive UI and logic using Javascript.
Debugged and resolved technical issues to ensure high-quality software delivery.

Self-employed October 2024 - Present
Programming Tutor
Mentored students in C++, C# and Javascript, focusing on core programming and
clean code.
Conducted practical sessions on Linux administration and containerization with
Docker.
Taught Git workflows, including branching strategies, merge conflict resolution
and collaborative development.
Guided students in designing relational schemas and writing optimized SQL
queries.

Education

Khmelnitskiy Politechnic College September 2022 - Present
Full-time

Projects

Jarvis Assistant September 2025 - November 2025
Voice assistant for desktop
Developed an automated voice recognition tool based on AI STT architectures.
Build a modular Python-based backend to capture, process, ans convert speech
into structured text.
Optimized resource consumption for efficient model inference on local hardware.
STT, Python, YAML, Tauri, React, Real-time processing, Audio stream handling

LLMpack November 2025 - December 2025
Data pre-rpocessing toolkit for LLMs
Developed a specialized tool for cleaning, formatting, and optimizing raw data into
LLM-ready context.
Focused on context window optimization to reduce token usage and improve
model response relevation.
Created modular templates for structured data output (XML, Markdown and other)
to streamline LLM integration.
Go, Prompt Engeneering, Data Structuring

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