AI workflows
Retrieval, answer generation, approval flows, missing-source handling, and AI access patterns that stay grounded in real data.
Idil Saglam, software engineer in Paris
Software engineer.
I build reliable AI, backend, and product systems.
Recent work includes RAG and source-backed AI workflows at Evidella and AI-assisted product discovery at Vestiaire, alongside iOS apps, web products, and internal tools. I also take on selected freelance software engineering work.
Selected work
Projects across AI systems, iOS apps, web products, and internal software.
Evidella
A source-backed AI workspace for approved answers, questionnaires, and internal Q&A.
- AI
- Web
Vestiaire
Vestiaire
Natural-language product discovery that turns open-ended requests into structured product criteria.
- AI
- Discovery
Fabric Lens
A Chrome extension that reads fabric composition on product pages and shows material and comfort signals.
- Chrome
Catwlk
Organize your clothes, plan outfits, and pack for trips in one app.
- iOS
Alerte Conso
Browse French product recalls with search, filters, and direct links to the official notice.
- Web
Au Petit Coin
Find public toilets in Paris, see what is nearby, and get directions quickly.
- iOS
Expertise
Backend systems
Backend APIs, async workflows, browser integrations, structured outputs, and the product software around them.
Product engineering
iOS apps, web products, and internal tools built around clear workflows instead of feature lists.
Reliability
Clear boundaries around retrieval, approvals, read-only integrations, failure handling, and what the system should do when support is missing.
Technical leadership
I work across product definition, system design, implementation, testing, deployment, and iteration.
Architecture definition and workflow design
Breaking complex work into deliverable milestones
Code review, engineering standards, and product trade-offs
Production readiness, debugging, and iteration after launch