Position: Lead/Senior DevOps Engineer
Category: DevOps
English level: fluent
Years of experience: 8

National Telecom Transformation: Spearheaded a pivotal transformation of legacy systems in a national-level Telecom domain. Successfully transitioned to more modern, scalable, and flexible infrastructures, setting industry benchmarks.

Cybersecurity Excellence: At a world-leading big-tech company, I championed the establishment and maintenance of a diverse, cutting-edge Data Science research infrastructure, ensuring that researchers had best-in-class tools and technologies at their fingertips in the high-stakes cybersec domain.

Optimized ML Infrastructure: In the cybersecurity domain, overhauled ML infrastructure deployment strategies, leading to a significant reduction in costs by approximately 27%. Implemented techniques prioritizing both efficiency and security.

Revolutionizing Deployment: Pioneered the integration of CI/CD best practices, which culminated in a dramatic decrease in deployment time by around 80%. This acceleration has been a game-changer, enhancing team productivity and project turnaround times
5 years at a leading national-level Telecom domain, developing efficient, scalable on-demand infrastructures with a focus on fault-tolerant topologies.

For 3 years at a world-leading big-tech company in the cybersec domain:
 - Architected and maintained high-load data processing ML pipelines utilizing Apache Flink and ONNX in the cybersecurity domain.
 - Spearheaded the development of an all-encompassing Data Science research infrastructure, integrating tools such as Apache Airflow, JupyterHub, MLflow, ThreatQ, TheHive, and more.
 - Elevated DevOps methodologies throughout the software development lifecycle, ensuring best-in-class practices.

Technologies Used:
Proud of my extensive experience with Kubernetes, AWS services, and CI/CD tools including Jenkins, TeamCity, GitHub Actions, and Azure DevOps. Adept at virtualization/containerization with tools like Docker and VMware ESXi. Also, proficient in Python (highlighting Pandas, Matplotlib, NumPy), web-stack technologies, and Kotlin DSL.

Current Role:
As a seasoned DevOps Engineer, I helm the designing, implementation, and continuous monitoring of robust and secure infrastructures. Often, I'm at the forefront of leading teams on multifaceted projects, ensuring that DevOps practices are integrated seamlessly and effectively.

Areas for Improvement:
I'm eager to explore deeper into the realms of MLOps and DataOps — two fields at the exciting intersection of DevOps with AI. My goal is to refine strategies ensuring their more intuitive and efficient integration.
- to be a part of a world-changing company that leverages cutting-edge technologies to make a positive impact on the world. I'm driven by passion and purpose, and it's essential for me to align with a company's mission to create innovative solutions for global challenges.

- positions that allow for continuous learning, especially in emerging technologies and trends.

- positions without an on-call schedule