Naser Derakhshan
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Platform Engineer | SRE & DevSecOps & MLOps | AWS Expert (6 yrs), GCP
Senior Platform Engineer with 12+ years across DevOps, SRE, and MLOps, specializing in AWS (6 years) with hands-on GCP experience, Infrastructure as Code, and CI/CD automation. Proven track record designing scalable, secure infrastructure with Terraform and Docker, and building robust observability with Prometheus, Grafana, OpenTelemetry, Sentry & CloudWatch. Strong on reliability engineering, incident response, security (GDPR/SOC2, KMS, WAF), and cost optimization. Passionate about building reliable, secure, and scalable platforms that let engineering teams ship fast Core Specialties: Cloud Platforms: AWS, GCP DevOps/MLOps Automation: CI/CD Pipelines (GitLab, GitHub), Infrastructure as Code Containerization & Orchestration: Docker, ECS, Docker Swarm Observability & Monitoring: Prometheus, Grafana, Cloudwatch, OpenTelemetry Development & Scripting: Python, Java, Rust, C#, Bash System Administration & Security: Linux, Ansible
Politecnico di Milano
Doctor of Philosophy (PhD), Computer Software Engineering
January 1, 2013 – January 1, 2016
KTH Royal Institute of Technology
Master's degree, System on Chip Design
January 1, 2010 – January 1, 2012
Ferdowsi University of Mashhad
Bachelor of Science, Electrical Engineering - Electronics
January 1, 2003 – January 1, 2008
Floy
Platform Engineer
March 1, 2025 – Present
Munich, Bavaria, Germany · Remote
Oxolo
Senior DevOps Engineer
January 1, 2021 – March 1, 2025
Hamburg, Germany · Remote
Standard Cognition
Principal Engineer
July 1, 2019 – January 1, 2021
San Francisco, California, United States · Remote
AGS S.p.A - Advanced Global Solution
Machine Learning Engineer
November 1, 2016 – July 1, 2019
Pero, Lombardy, Italy · On-site
TIM
Researcher at TIM
November 1, 2013 – October 1, 2016
Milan Area, Italy
Taratech Co.
Software Developer
March 1, 2012 – October 1, 2013
Iran
Aghasy Zadeh Research Center
Hardware Design Engineer
February 1, 2008 – February 1, 2010
Iran
Zharfpouyan R&D Co.
VHDL designer
January 1, 2007 – February 1, 2008
Iran
Cultural Fit Analysis
The candidate has a diverse background spanning hardware design, research, software development, ML engineering, and DevOps across various companies and industries. This breadth suggests adaptability and a willingness to engage with different technical challenges. The progression from ML Engineer to Principal Engineer and then to DevOps/Platform roles indicates a strong focus on system reliability and deployment, which is valuable for an ML Engineer role requiring MLOps expertise. However, the recent shift away from a pure ML Engineer role might require re-alignment with core ML development practices.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in infrastructure design and process streamlining, suggesting strong problem-solving and operational efficiency skills. Collaboration with SRE teams indicates good teamwork. However, without specific psychometric or communication test results, a definitive assessment of soft skills and operational fit beyond technical contributions is limited.