Cross-domain technical leverage
Connects traditional and modern Core Voice operations with observability, data engineering, automation, database platforms and AI/MLOps practices to create scalable, reusable operational capabilities.
Profile
About
I operate at the intersection of critical telecom operations, data engineering, observability and AI‑driven operational intelligence. With 25+ years of experience in Core Voice networks, I transform complex operational environments into reliable, measurable and automated platforms.
My work spans Core Voice/IMS operations, enterprise observability, high-scale data engineering (~10M daily data points), and modern MLOps practices. I support and evolve IMS/SDVoice environments for both mobile and fixed networks, contribute to Deutsche Telekom’s Common Operating Model for Europe (COME), and serve as a core member of the Agile NT MLOps & AI Squad on AI‑driven operational capabilities. I own and operate large‑scale monitoring platforms such as Grafana Enterprise, oversee Red Hat–based operational environments including vulnerabilities, patches and upgrades, and design Python‑driven ETL pipelines, microservices and automation workflows.
Across PostgreSQL/TimescaleDB, MySQL, MongoDB and InfluxDB, I design schemas, process operational data and build KPI‑driven insights that improve visibility and decision‑making. I also contribute to MLOps architectures, machine learning initiatives and AI adoption within telecom operations, while supporting Linux‑based environments through lifecycle management, upgrades, security remediation and operational readiness activities.
Beyond engineering delivery, I strengthen team capability through ML/AI training, knowledge sharing and hands‑on guidance across Python, Linux, data platforms and operational technologies. My focus is connecting domain expertise, engineering practices and AI‑driven approaches into practical, cross‑domain capabilities that reduce operational risk and enable faster, data‑driven decisions.
Value Proposition
Cross-team technical leverage, not just individual execution
Operational platform thinking
Builds monitoring foundations, data pipelines, automation workflows and support models used across multiple teams — not isolated one-off scripts.
End-to-end ownership
Manages critical operational components across OS, databases, dashboards, integrations, users, patching, upgrades, vulnerabilities and production support.
Metrics into decisions
Transforms raw Core Voice measurements into structured KPIs, dashboards, aggregations and actionable operational intelligence.
Reduced escalation dependency
Resolves complex Grafana, database, Linux and monitoring issues internally, reducing delays, vendor dependency and operational friction.
Team enablement & knowledge transfer
Delivers ML/AI training, technical guidance, hands-on support, documentation and practical enablement across Python, Linux, data platforms and operational technologies.
Core Pillars
One mission, multiple technical foundations
Telecom Domain Authority
Deep Core Voice expertise across IMS, SDVoice, SIP/Diameter, core applications, access, roaming, alarms and operational troubleshooting — connecting telecom domain knowledge with modern engineering practices.
Observability & Operational Intelligence
Design and support of monitoring platforms, Grafana Enterprise dashboards, KPI models and near real‑time visibility that strengthens decision‑making and operational readiness across critical network functions.
Data Engineering & Platform Reliability
Python ETL pipelines, PostgreSQL/TimescaleDB, MySQL 8, MongoDB and InfluxDB engineering, metric normalization, storage, aggregation, analysis, upgrades, patching and vulnerability handling for reliable operational platforms.
MLOps & AI‑Driven Operations
Contribution to MLOps initiatives, anomaly detection concepts, AI‑assisted operational workflows and practical ML/AI training that accelerates adoption of intelligent automation within telecom operations.
Platforms & Projects
Selected operational capabilities
Platform Ownership / Secure Operations
Platform Ownership: Databases, Microservices & Secure Operations
Operational ownership of multi‑database and microservice‑based environments built on PostgreSQL/TimescaleDB, MySQL 8, Python microservices and Rocky/RHEL Linux 8. Responsibilities include database design, schema creation, support for internal teams, upgrades, patching, vulnerability remediation and secure platform operations.
Impact: Strengthens reliability, patch readiness, security posture and database usability across multiple engineering and operations teams.
Observability Platform
Grafana Enterprise & Observability Operations
Root administration and engineering for enterprise Grafana platform, managing over 500+ operational dashboards for 420+ active users. Handled custom plugin integration, user RBAC, and internal incident resolution without vendor escalation.
Impact: Provides reliable observability for Core Voice operations and resolves Grafana‑related issues internally, reducing vendor escalation and operational delays.
Data Engineering / Operational Intelligence
Voice Network Metrics to KPIs
Engineered high-throughput Python (Pandas, NumPy) ETL pipelines ingesting and processing 30,000+ metrics every 5–15 minutes (~10M daily data points) across Core Voice, SBC, Roaming, and Alarms into TimescaleDB.
Impact: Converts raw operational measurements into structured insights that accelerate troubleshooting, proactive monitoring and management reporting.
Proactive Operations / Network Readiness
Emergency Events & Network Impact Monitoring
Design and implementation of near real‑time monitoring concepts for public emergency events, including civil protection alerts, severe weather, earthquakes and fires, correlated with potentially affected network elements.
Impact: Enhances operational readiness by enabling faster risk identification, quicker response and reduced customer impact during critical events.
MLOps / Telecom Monitoring
Enterprise MLOps & Multi-Task Machine Learning Pipelines
Engineered and deployed end-to-end MLOps solutions integrating DataRobot AutoML and custom Python workflows (Scikit-Learn, ADTK). Developed production models covering Clustering, Classification, Time-Series Prediction, Anomaly Detection, Root Cause Analysis (RCA), and Association Rule Learning to drive proactive operational intelligence.
Impact: Moves network assurance from reactive monitoring to intelligent, anomaly‑driven detection.
AI Enablement / Training
ML & AI Essentials Training Program
Co‑design and delivery of the ML & AI Essentials training program with OTEAcademy and the instructor team, covering practical ML/AI fundamentals and organizational enablement.
Impact: Supports digital upskilling across the organization with excellent participant feedback and strong demand for further expansion.
Career
Experience
ML & AI Instructor
OTEAcademy
- Deliver ML/AI fundamentals with practical, real-world applications.
- Contribute to the design, evolution and expansion of the ML & AI Essentials program.
- Support organizational upskilling through high-quality training and preparation of advanced learning paths.
Data Science & MLOps Engineer (NT MLOps & AI Squad)
OTE Group (HTO) – NT MLOps & AI Squad & COME
- Core member of the newly established Agile NT MLOps & AI Squad, scaling individual ML engineering initiatives into enterprise operational models.
- Design and deploy end-to-end ML/MLOps solutions leveraging DataRobot & Python (Scikit-Learn, ADTK) covering Clustering, Classification, Predictive Modeling, Anomaly Detection, Root Cause Analysis (RCA), and Association Rule Learning.
- Develop Python ETL pipelines (Pandas, NumPy) processing 30,000+ metrics per 5/15 min (~10M daily data points) for metric aggregation and KPI analytics.
- Contribute to Deutsche Telekom’s Common Operating Model for Europe (COME) by embedding DataRobot MLOps capabilities, automated data pipelines, and operational intelligence into DT footprint workflows.
Senior Voice Support Engineer
OTE Group (HTO)
- Support Core Voice environments across Huawei IMS and Nokia SDVoice (Core, SBC, HSS, MGW, application servers, roaming, alarms).
- Handle incidents, SRs and operational tickets with strong SLA performance and customer-impact focus.
- Build monitoring, automation and analytics that reduce MTTR and strengthen operational readiness.
Early Career (Telecom Engineering & Network Operations)
Various Roles in Telecom Industry
- Built a strong technical foundation across telecom systems, voice-network operations and subscriber access networks.
- Worked with Ericsson AXE-10, Intracom NBMS, Huawei IMS, Alcatel-Lucent systems and Unix/Linux environments.
- Delivered installation, configuration, troubleshooting and operational support across fixed-network infrastructures.