Relevant Experience

What I Bring to Bird.

19 years in international telecommunications, complemented by hands-on AI development, predictive analytics and specialist industry advisory.

01 / TELECOM

Global Voice &
Commercial Leadership

Commercial strategy informed by operational depth.

  • 19 years of experience in international telecommunications and wholesale voice, with deep expertise in routing, network economics, termination costs, quality and supplier management.
  • Strategic B2B account management with major telecom operators, spanning voice connectivity, authentication use cases (OTP and flash calls), and eSIM.
  • Hyperscaler-related commercial experience: Led provisioning and commercial offer negotiations supporting opportunities across Europe.
  • Long-standing relationships with senior executives and C-level decision-makers across the global telecommunications ecosystem.
02 / HANDS-ON AI

Proprietary Agentic AI
& Machine Learning

From experimentation to operationally relevant systems.

  • Development of AI-powered operational intelligence, interconnected knowledge bases and specialised agents.
  • Training and fine-tuning open-source language models, including parameter-efficient techniques such as LoRA.
  • Predictive modelling using gradient boosting, including LightGBM and XGBoost.
  • Connecting domain expertise, structured data and machine learning to support practical decisions.
03 / ADVISORY

Strategic Advisory
& Industry Collaboration

Connecting technical innovation with commercial outcomes.

  • Specialist consulting in international voice connectivity, telecom infrastructure and Voice AI.
  • Advisory work at the intersection of real-time AI systems and established voice networks.
  • Cross-functional collaboration with industry and technology specialists on innovation initiatives.
  • Translating complex technical opportunities into commercially actionable strategies.

Commercial expertise. Technical execution. Operational intelligence.

A combination of deep industry knowledge and hands-on AI capabilities, connecting commercial strategy with practical implementation to improve quality, efficiency and profitability.

Explore my onboarding approach
Phase One

Understanding the Framework

Before defining where I can create value, I first want to understand how
value is created, delivered and measured within Bird.

Corporate Framework

  • Vision, strategy and long-term priorities
  • Internal structure and team responsibilities
  • Management philosophy and ways of working
  • Communication flows across teams
  • KPIs, reporting and performance expectations

Technical Framework

  • Core systems, platforms and architecture
  • Available tools and operational capabilities
  • Technical workflows and routing processes
  • Current limitations and improvement areas
  • Product roadmap and future capabilities

Commercial Framework

  • Customer portfolio and strategic accounts
  • Supplier ecosystem and key dependencies
  • Revenue logic, margins and cost structure
  • Account workflows, pipeline and escalations
  • Growth priorities and expansion opportunities

A strong onboarding starts with understanding the business from the inside out.

Phase Two

Operational Intelligence
& Optimisation

With Bird's framework understood, my next priority would be to improve voice quality, cost efficiency and margin protection, working with the systems and teams already in place.

01 / CONNECT

Seamless
Integration

  • Map the existing systems, data flows and ownership
  • Connect securely to APIs, CDRs, routing and tariff data
  • Use open-source components deployed on Bird-managed infrastructure
  • Adapt specialised AI agents to existing operational workflows
  • Prioritise security, governance and minimal implementation friction
02 / PROTECT

Quality Intelligence
& Assurance

  • Track ASR, ACD, PDD, NER and relevant quality metrics
  • Detect deviations by country, network, destination and supplier
  • Correlate incidents with routing, traffic patterns and changes
  • Surface early warnings and explainable root-cause hypotheses
  • Support proactive quality decisions and customer experience
03 / OPTIMISE

Cost & Margin
Optimisation

  • Model true termination costs, tariffs and billing increments
  • Reconcile CDRs, pricing, invoices and routing outcomes
  • Identify margin leakage and inefficient traffic allocation
  • Compare supplier alternatives within quality guardrails
  • Prioritise measurable savings and sustainable profitability
AI-Powered Operational Expertise

From knowledge to intelligence.

A practical way to connect documented telecom knowledge, operational relationships, tariffs and traffic context, creating a stronger foundation for decisions.

Digital Operations Brain

Complex operations.
Connected intelligence.

Bringing specialised wholesale voice expertise and operational context into one connected knowledge layer, ready to inform better decisions.

Illustrative graph visualisation · Scroll to explore
Observe Connect Optimise

Visual reconstruction inspired by a telecom operations knowledge graph. For illustration only, not connected to production systems or live operational data.

Phase Three

From Intelligence to
Business Impact.

Three parallel workstreams
01 / OPTIMISE

P&L Performance
& Procurement

  • Monitor profitability by customer, supplier, destination and route through connected operations, finance and quality data.
  • Prioritise margin leakage, supplier alternatives and negotiations using measurable economic impact.
  • Drive termination and authentication costs down without compromising quality standards.
  • Convert procurement savings into stronger margins and more competitive commercial offers.
Margin · Cost competitiveness
02 / GROW

Revenue Growth
& Expansion

  • Hunt new enterprise and connectivity opportunities, leveraging industry relationships and commercial experience.
  • Develop new volumes and use cases within existing accounts, including voice authentication, OTP and flash calls.
  • Align pricing, supplier mix and quality with enterprise and hyperscaler cost-reduction priorities.
  • Prioritise a profitable pipeline, not simply additional traffic or top-line growth.
New business · Profitable growth
03 / EXECUTE

AI-Native
Business Operations

  • Connect legacy systems to one intelligence layer across operations, finance and quality, supported by specialised agents.
  • Automate supplier quality testing with dynamic A-number scenarios and deterministic validation.
  • Detect new or anomalous traffic close to real time, classifying impact on Bird, customers and suppliers.
  • Escalate only material exceptions for management decisions, maintaining transparent controls and accountability.
Quality · Productivity · Control
The operating model

AI-Native Business Unit.

One accountable leader. One connected intelligence layer. A coordinated team of specialised agents supporting end-to-end P&L ownership.

Human-led · AI-augmented

Traceable.

Insights and actions linked to their underlying data and context.

Auditable.

Explainable rules, reproducible checks and human oversight.

Scalable.

Growing operational capacity without a proportional increase in headcount.

Decision support and automation designed around security, governance and measurable outcomes.
THE OPPORTUNITY AHEAD

From insight to impact.

Turning industry expertise, commercial leadership and applied AI into measurable business value, with the right priorities and a shared understanding of Bird's goals.

Commercial Growth

Stronger accounts and opportunities.

Operational Efficiency

Better decisions, quality and margins.

Intelligent Automation

Scalable improvement with control.

Let's explore what's next, together.

Proposed onboarding approach Personal perspective