Dhia Kennouche 👋
I lead a fintech engineering team, owning technical direction from architecture through delivery. Extensive Python 🐍 experience (Since 2011) and TypeScript proficiency, with the past few years spent designing Microservice and Serverless Architectures on AWS. My work sits where payments, banking data and AI meet: I run long-running integration projects end to end — vendor research, architecture, delivery and migration — across backend, web and mobile. Alongside that, peer-reviewed research on measuring software size with language models. Over a decade of building, and I still enjoy it.
Open Banking integrations
Connecting to bank data providers end to end — consent and authorisation flows, resilient sync, and normalising messy multi-institution data into something the product can actually rely on.
Real-time card transaction data
Event-driven infrastructure that ingests card transaction events as they happen, with the ordering, idempotency and reconciliation guarantees financial data demands.
Mobile app migration
Working closely with a newly hired senior mobile engineer to migrate the app to our latest stack — a full rewrite from scratch.
AI assistant over customer data
Designed and built solo: a LangGraph agent that answers customers’ questions about their own data in natural language, translating them into SQL with schema-aware context, query validation and guardrails that keep every answer scoped to the person asking. Guardrails run on two levels: an LLM-as-a-judge check, plus a deterministic one that parses the generated SQL and validates it against policy.
Beyond the projects above, I run the team day to day: hiring and interviewing, mentoring, roadmap planning with upper management, cross-team and in-depth technical decisions, on-call myself and backing up whoever else is on it — and still picking up tasks and writing code.
Peer-reviewed work on measuring and estimating software size with language models, and on how microservice teams actually work:
Automating software size measurement with language models: Insights from industrial case studies
H. Ünlü, S. Tenekeci, D. E. Kennouche, O. Demirörs — Journal of Systems and Software, vol. 231, 2026
Microservice-based projects in agile world: A structured interview
H. Ünlü, D. E. Kennouche, G. Kilinç Soylu, O. Demirörs — Information and Software Technology, vol. 165, 2024
The first continues my MSc thesis, Predicting Software Size From Requirements Written In Natural Language: A Generative AI Approach, on fine-tuning and evaluating language models to estimate software size straight from requirement text. Full list on DBLP.
In order: Ruby on Rails and Python as a teenager — high school, open source, and a finalist place in Google Code-in, Google's open-source competition for students, the same era as the SymPy contribution linked above. Then Android, then React Native, then over 2 years on monolithic and microservice Java and Python systems, which is where I learned most of what I know about trade-offs. Then this role.
