01
AI strategy & architecture
Frame the use case, compare approaches and define the evidence needed before wider investment.
Bring clarity to
complex challenges.
Research depth, engineering judgement and the ability to connect technical work with a practical path to delivery.
Start a conversationWHERE I CAN HELPFrom the first question
From the first question
to the next decision.
Technical advisory and collaboration shaped around the project’s maturity, constraints and intended outcomes.
02
RAG & knowledge systems
Connect complex documents, knowledge graphs and structured information through retrieval architectures.
03
Agentic systems
Design tools, orchestration and decision boundaries, with evaluation and human review appropriate to the task.
04
MLOps & cloud engineering
Connect experimentation with versioning, tracking, deployment and monitoring on Python, AWS and container platforms.
05
Telecom & applied AI
Bring 4G/5G/6G, signal processing, reinforcement learning and time-series expertise to domain-specific AI problems.
06
Technical project coordination
Clarify scope, dependencies and milestones. Connect product needs with technical decisions and delivery planning.
THE APPROACHMake the path
Make the path
understandable.
Four stages, adapted to the problem. Open each stage to see what it needs to establish.
01Frame
Define the decision.
Clarify the users, workflow, available data, constraints and evidence needed to judge success.
02Design
Choose a testable architecture.
Compare approaches, document trade-offs and define evaluation before expanding the system.
03Validate
Test the critical assumptions.
Build a focused prototype with representative examples. Review the evidence and make limitations visible.
04Transfer
Prepare the next stage.
Document ownership, deployment needs and operating practices, with knowledge transfer to the team.
EXPERIENCE BEHIND THE APPROACHTechnical responsibility.
Technical responsibility.
Practical coordination.
Project management
Since May 2025, coordinating Amanah and traceability initiatives across product needs, technical work and delivery planning.
Research & Agile delivery
Signal-processing and AI research, partnerships with two laboratories, deep-learning applications and Scrum facilitation.
Architecture & enablement
Current AI research combined with courses and workshops that make technical choices understandable across disciplines.