Zahra E
Solutions Engineer, AI Platforms · Technical Pre-Sales & Customer Enablement · ECBA™ · PSPO I™
Engineer with a proven discovery-to-adoption track record: I run technical discovery with stakeholders, design and scope the solution, deploy it, and drive adoption after go-live — the same core loop a commercial SE owns, built inside high-stakes scientific research instead of traditional SaaS. Hands-on experience building modern AI agent architectures (Claude & OpenAI APIs), delivering technical solutions to 10-20+ stakeholders per project cycle using Salesforce, Jira, Confluence, and Notion.
Professional
Experience
4+ years managing complex, high-stakes projects in international contexts — France, Spain, Germany, Morocco — from AI integration to data transformation and change management.
Scoping and integration of an AI solution into an analytics platform. Interface between business and technical teams.
- Gathered requirements from 13+ stakeholders via bilingual (FR/EN) interviews and workshops; formalised functional and non-functional specifications.
- Developed a prediction algorithm serving as a baseline to evaluate the performance of the integrated AI model (ground truth, comparison metrics).
- Led user acceptance testing (UAT), managed incidents, and drove change management: user training, documentation, and post-deployment support.
Tools: SQL · Python · Power BI · Docker · Visio · Notion
Business process optimisation and data transformation within an international multidisciplinary team.
- Designed a Python pipeline reducing processing time by 60% on SQL databases exceeding 1 million records.
- Delivered a Streamlit web app centralising access to business results, with Power BI dashboards for reporting.
- Facilitated 7+ AI workshops and training sessions for 50+ users; produced functional documentation and post-deployment support.
- Led international data science training sessions (EuBIC-MS Winter School 2024, advanced courses 2022–2024) with 60+ participants per session.
Tools: Python · SQL · Streamlit · Power BI · Pytest · Lucidchart · Confluence · TensorFlow · Keras
Industrialisation of a machine learning-based quality control process within an international editorial team.
- Qualified an AI use case for anomaly detection in scientific images, in collaboration with editorial and technical teams.
- Documented business rules and decision criteria to feed the ML model specification.
Tools: Python · ML image processing · editorial workflows
Featured Projects
LeadWise
AI-Powered Lead Qualification Engine · 2 verticals · EN / FR
Industry-agnostic scoring engine built with FastAPI + Claude API. Full BA lifecycle: BPMN 2.0, 6 BDD User Stories with Gherkin criteria, 10 business rules, RGPD compliance Art. 6/17/21, 8 documented API endpoints, UAT & integration test plans.
Core
Skills
Functional-technical hybrid profile covering the full BA toolkit — from elicitation to delivery.
Education
Scientific foundation in applied mathematics, computer science, and bioinformatics.
Certifications
Verified credentials — hover any card to pause & click to verify