Maintaining and improving CI/CD pipelines (Jenkins, Wind River Studio, Github Actions) supporting microservices-based systems. Automating repetitive engineering tasks using Python and Bash, reducing manual workload and improving deployment reliability. Working with containerized environments (Docker, Kubernetes), artifact management (JFrog), and migrating repositories and CI/CD processes to Enterprise environment (Github).

Maintained and automated cloud-based infrastructure (Terraform, Azure) and Kubernetes microservices environment. Implemented configuration management using Ansible and Kubespray, enabling reproducible environments. Improved CI/CD processes (Jenkins), reducing manual intervention and increasing deployment consistency.

Performed root cause analysis for production incidents in Adobe Experience Manager environments, identifying performance bottlenecks and service failures. Analyzed Java heap dumps and thread dumps to diagnose memory leaks and concurrency issues. Built and interpreted observability dashboards in Splunk, New Relic, and Grafana to improve reliability and troubleshooting. Automated investigation and routine operational tasks using Python and Bash, helping reduce incident response time.

Designed and automated CI/CD workflows for hardware-related testing, including regression and validation processes for IrDA devices. Built reusable Python package delivery pipelines with private package distribution. Automated test reporting and code quality validation, improving consistency of releases and reducing integration problems across the development workflow.

Maintained Kubernetes-based microservices infrastructure and Linux servers in internal delivery environments. Automated server provisioning and configuration using Ansible and Kubespray. Improved GitLab CI processes and deployment reporting, increasing repeatability and visibility of release workflows.

Built and maintained CI/CD integration environments across Linux, Windows, and VMware-based infrastructure. Deployed Jenkins nodes and virtualized hosts to support build and integration processes. Automated routine operations and troubleshooting workflows using Python, Bash, Ansible, and Jenkins, improving build stability and reducing manual debugging effort.

Designed and deployed production systems for data-heavy MerchTech applications using Python, Django, and Django REST Framework. Managed cloud infrastructure across AWS, OVH, and DigitalOcean, including containerized deployments with Docker and Docker Compose. Built and maintained database and queueing layers for internal tools, and automated infrastructure and deployment workflows using Ansible and Jenkins.

Designed and implemented a distributed application for generating and managing realistic handshape datasets for Polish Sign Language recognition. Integrated Django and Django REST Framework with Blender and MongoDB, including sharded storage. Built synchronous and asynchronous APIs with Django Channels and Redis for real-time rendering supervision. Developed a React-based frontend and automated deployment with Docker and Docker Compose.

Built and maintained a production-ready Kubernetes cluster on bare metal servers using Terraform, Ansible, and Kubespray. Managed the full infrastructure stack including internal and public services, databases, caching, storage, ingress, TLS, and load balancing. Automated day-to-day cluster operations with Jenkins, Groovy, Bash, Python, and Ansible.

Built and maintained side projects focused on developer productivity, automation, and personal tooling, including a custom CV generator and Linux auto-configuration setup. Used these projects to improve frontend, DevOps, and developer-experience skills in real-world scenarios.

Designed and built a full-stack cryptocurrency analysis platform focused on automated harmonic pattern detection and technical indicators. Backend built on FastAPI with async PostgreSQL (asyncpg), Celery task queue (RabbitMQ + Redis), and integrations with Binance, MEXC, and Yahoo Finance APIs. Frontend delivers an interactive TradingView-based charting interface with Fibonacci levels, RSI, MACD, OBV indicators, and a harmonic pattern visualization panel. Deployed on Kubernetes (bare metal) with automated sync and analysis pipelines. Application is available at: https://00x097.com

Designed and built a distributed GPU computing platform for AI training and 3D rendering workloads. Implemented a FastAPI backend with REST and WebSocket APIs for real-time task scheduling, execution, and monitoring. Developed distributed worker logic for PyTorch DDP training and Blender rendering. Prepared the system for scalable deployment with Docker and Kubernetes on bare metal infrastructure, supported by CI/CD pipelines and mixed SQL/NoSQL data storage.

Developed practical AI agents for video summarization, blog content generation, and automated interpretation of market signals. Integrated LLM APIs with Telegram bots and external services such as transcript providers and crypto exchange APIs. Focused on automation workflows that combine language models with real operational data and delivery channels.

Built and maintained side projects focused on developer productivity, automation, and personal tooling, including a custom CV generator and Linux auto-configuration setup. Used these projects to improve frontend, DevOps, and developer-experience skills in real-world scenarios.