About Mansoor
💻 Front-end Development
- TypeScript, Angular, React.js, Vue.js, Next.js
- Modern, responsive & optimized interfaces
- Animations and interactive effects (GSAP, Framer Motion, Three.js)
⚙️ Back-end Development
- Node.js, NestJS, Express, Django
- REST & GraphQL APIs
- Real-time with Socket.io, modular & microservices architectures
🛒 E-commerce & Marketing Automation
- Shopify: theme customization (Liquid), advanced integrations
- Klaviyo: automated flows (abandoned cart, post-purchase, welcome…)
- HTML integration for custom emails
📊 Databases & Search
- MySQL, PostgreSQL, MongoDB
- Advanced search with Elasticsearch
🚀 Tools & Methods
- CI/CD, Docker, Git, RabbitMQ
- Agile management (Scrum, Kanban)
- Maintainable, documented code & best practices
- Versatility: handling a project from A to Z
- Quality: robust, scalable & well-documented code
- Adaptability: tailor-made solutions, meeting deadlines
- Communication: clear exchanges & transparent follow-up
French
Native or bilingual
English
Fluent
Experience
- ZelrosFullstack DeveloperTECHMay 2021 - September 2023 (2 years and 4 months)Paris, FranceDevelopment and maintenance of a SaaS platform, from the technical design phase to production deployment, ensuring performance and quality of user experience.Achievements:
- Front-end development with Angular, in close collaboration with the UI/UX team to create fluid and intuitive interfaces.
- Setup and back-end development with NestJS, integration of PostgreSQL, Elasticsearch, and RabbitMQ.
- Management of deployment environments via Docker and CI/CD pipelines.
- Writing technical specifications and complete monitoring of the development cycle (new features, evolutionary maintenance, bug fixes).
- Work in Agile/Scrum methodology, regular coordination with the product team and stakeholders.
Key skills: Angular, NestJS, PostgreSQL, Elasticsearch, RabbitMQ, Docker, REST API, CI/CD, Agile/Scrum, UI/UX collaboration, SaaS - Caisse des Dépôts et ConsignationsPython / Data DeveloperPRIVATE EQUITYJuly 2019 - January 2020 (6 months)Paris, FranceDevelopment of tools and algorithms for processing and analyzing large volumes of financial data.Achievements:
- Creation of Python scripts and optimization of SQL queries to automate data analysis.
- Implementation and training of Machine Learning models for asset classification and ranking.
Key skills: Python, SQL, Machine Learning, Data Processing, Bloomberg
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Education
- Engineering DegreeENSAE2021