Results-driven Engineer with hands-on experience in DevOps infrastructure and a deep academic focus on Machine Learning. I specialize in automating complex workflows and managing production-ready environments using Kubernetes, Jenkins, and Ansible.
Currently finalizing my thesis (exp. June 2026) on Continual Incremental Learning and Vision Transformers, focusing on Knowledge Distillation and model optimization. Having completed my military obligations, I am now fully committed to bridging the gap between model development and scalable production environments.
Core Tech Stack:
Infrastructure: Kubernetes, Docker (Rootless/Remap), Helm.
CI/CD & Automation: Jenkins, Ansible, Bash Scripting.
ML & Research: Python, PyTorch, CIL, Knowledge Distillation.
Monitoring: Prometheus, ELK Stack.
Work Experience
Education
Qualifications
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