Денис Veteran

Denys Filichkin [open contact info](look above in the "contact info" section)
github.com/DenysPhV
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section)

DevOps Engineer | Python Developer | AI Infrastructure
●​ 1.5+ years of combined experience in building software and managing its lifecycle.
●​ Deep expertise in Python, LangChain, and LLM integration, combined with DevOps best
practices (Docker, Terraform).
●​ I specialize in automating the "routine" to let developers focus on features. Experienced in
building fault-tolerant infrastructures from scratch, ensuring 24/7 availability for critical services.

I don't just "configure tools" — I build resilient, automated infrastructures that understand the code they
run. I have an understanding of bridging the gap between development and operation with IaC
(Terraform), CI/CD optimization, and AI-powered automation. My exceptional advantage is the
implementation of solutions based on LLM and GPU-accelerated environments to expand modern
technology stacks. My goal is to transform infrastructure from a cost center to a competitive advantage.

EXPERIENCE: DevOps / FullStack engineer (internship)
https://github.com/DenysPhV| KSU | June 2025 - November 2025
●​ Architected and deployed a scalable on-prem infrastructure based on Debian for educational
workloads.
●​ Configured virtualization with GPU passthrough to support high-performance AI/ML workstations (LM
Studio) and BigBlueButton video conferencing.
●​ Implemented server fault tolerance between two physical locations, ensuring 24/7 service availability.
●​ Automated routine support services, reducing manual intervention and streamlining consultations.

DevOps engineer (internship with mentor)
https://github.com/DenysPhV/devops-infra | SOFTSERVE program | June 2025 - November 2025
●​ Implemented AWS Autoscaling groups using Terraform to optimize cloud resource consumption.
●​ Designed Infrastructure as Code (IaC) with HCL to automate the deployment of cloud environments.
●​ Successfully deployed and configured complex cloud stacks, including ELB, S3, and EC2, within
isolated Security Groups (SG) and Internet Gateways (IGW).

DevOps engineer (internship)
https://meduzzen.com/ | April 2025 - May 2025
●​ Engineered a robust disaster recovery solution by developing an automated, versioned backup system
using Bash scripting, jq, and Git.
●​ Containerized the entire infrastructure by creating optimized Dockerfiles and orchestrating a
multi-service environment with Docker Compose.
●​ Streamlined application deployment for a full-stack architecture, integrating Nginx as a reverse proxy
for a Node.js frontend and a Python-based backend.
●​ Ensured database reliability by managing and automating PostgreSQL deployment within a
containerized environment

Frontend developer (internship)
http://softjourn.com/ | February 2025 - March 2025
●​ Developed a high-performance e-commerce platform utilizing the Angular framework and TypeScript
to ensure a seamless user experience.
●​ Built and maintained a mock backend environment using JSON servers for rapid frontend prototyping
and testing.
●​ Automated development environments are achieved by deploying local infrastructure through Vagrant
and VirtualBox on Linux, significantly reducing setup time for the team.
●​ Bridged the gap between Dev and Ops by managing the full development lifecycle from UI
components to virtualized local deployment.
 Python developer – backend for blockchain dApp
challenge.day | April 2024 - January 2025
●​ Blockchain Infrastructure - Experience with TON Blockchain ecosystem and TVM (TON Virtual
Machine).
●​ Node Management - Understanding of decentralized networks, security protocols, and connectivity for
blockchain-based projects.

Python developer – LLM engineer
GART Technology | December 2023 - April 2024
●​ Local AI Deployment - Expert in setting up private AI environments using LM Studio, ensuring data
privacy and local execution.
●​ Compute Optimization - Hands-on experience with GPU Passthrough and virtualization to maximize
hardware performance for LLM workloads.
●​ AI Integration - Building automation pipelines using LangChain and OpenAI API to streamline
business processes.

LANGUAGES: Ukrainian - native, English - Intermediate

TECH / PLATFORMS: EDUCATION / CERTS:
Cloud & Infra // AWS, Proxmox, Terraform, Docker. KSU Master's degree
AI/ML Ops // LM Studio, GPU Passthrough, LangChain, OpenAI API. September 2024 - December 2025
CI/CD // Jenkins, GitHub Actions, GitLab CI. Software engineer
Development // Python (FastAPI/Flask), Bash, PowerShell.
SoftServe academy
DevOps EmpowerU
February 2025 - March 2025

IT Cluster Academy
DevOps core
June 2024 - October 2024

IT School GoIT
Python developer
February 2023 - February 2024