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Lead AI Engineer with 10+ years in DevOps Automation & AI/AIOps
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Platform engineer with over 20 years of experience driving AI-powered operational transformation. Specialized in automation, intelligent monitoring, and AI-assisted incident response leveraging LLMs and automation agents. Proven ability to build and integrate AI systems for accelerated troubleshooting, improved decision-making, and proactive issue identification.
University of Craiova
Engineering and Management
N/A – Present
Technical University of Petrosani
Engineering Degree
N/A – Present
University of Craiova
Informatics / Programmer Engineer
N/A – Present
Kyndryl
Lead Systems Management Engineer
January 1, 2021 – Present
India
IBM
Business Operation Specialist
January 1, 2013 – January 1, 2021
India
IBM
Shift Leader / IT Specialist
January 1, 2010 – January 1, 2013
India
EMC Motru
Analyst Programmer
January 1, 2004 – January 1, 2008
India
AI DevOps Assistant
June 29, 2026 – Present
Built an LLM-powered assistant integrating operational scripts and diagnostics workflows, accelerating troubleshooting and improving decision-making speed
ML Operational Knowledge Assistant
June 29, 2026 – Present
Designed a Python-based AI system analyzing logs to support incident investigation and operational knowledge discovery, reducing investigation time
Infrastructure Diagnostic Agents
June 29, 2026 – Present
Developed experimental AI agents generating insights from telemetry and system data, enabling faster anomaly detection and proactive issue identification
AI-Orchestrated Automation Workflows
June 29, 2026 – Present
Integrated AI reasoning into automation pipelines using n8n, reducing manual effort and improving operational consistency
Cultural Fit Analysis
The candidate has a long tenure with major companies (IBM, Kyndryl), indicating loyalty and stability. The diverse project experience in AI-driven operational improvements suggests an innovative and problem-solving mindset. The role as 'Lead AI Software Engineer' aligns with the candidate's recent focus on AI-assisted analysis and automation leadership. However, the lack of explicit collaboration or team-oriented project descriptions makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's experience as a Lead Systems Management Engineer and Shift Leader suggests strong leadership, incident coordination, and problem-solving skills. The focus on improving efficiency and reducing manual effort aligns well with operational excellence. The descriptions imply a proactive approach to system reliability and decision-making.