Yassine ECHAMKH

- Built scalable RESTful APIs using Nest.js, enabling smooth integration across internal services and external platforms — improved system reliability and modularity. Gained deep expertise in Node.js architecture and TypeScript best practices. - Collaborated with cross-functional teams to gather business requirements, transforming them into technical specifications — accelerated feature delivery with fewer iterations. Improved communication skills and refined agile planning techniques. - Integrated Prisma ORM with PostgreSQL to implement secure, optimized database queries — enhanced data access performance and reduced query errors. Learned advanced query optimization and database schema design. - Authored API documentation using Swagger, ensuring clear onboarding paths for new developers and third-party partners — reduced support questions and increased adoption speed. Developed documentation standards and stakeholder-focused writing. - Wrote unit tests , catching bugs early and ensuring code stability throughout deployments — minimized downtime and regression issues. - Performed peer to peer code reviews , promoting a culture of clean code and team collaboration Improved leadership and code quality assessment skills. - Participated in daily stand-ups and sprint planning using Scrum, aligning with team priorities and delivering value incrementally — maintained project momentum and team accountability. Enhanced project management and agile delivery mindset.

- Developed a freelance platform for lawyers using Express.js (backend) and React.js (frontend), enabling clients to book legal consultations online — streamlined access to legal services. Gained full-stack development experience and demonstrated strong autonomy and self-organization. - Created Python scripts to scrape reviews and comments from legal platforms, collecting real-world data for sentiment analysis — provided relevant datasets for training. Improved data collection techniques and sharpened problem-solving skills while working independently. Trained and fine-tuned sentiment analysis models, reaching over 90% accuracy on real customer feedback — added intelligent insights to platform capabilities. Enhanced applied machine learning knowledge and self-learning ability in AI topics. - Containerized the application using Docker to ensure consistent development and deployment environments — simplified testing and enhanced portability across systems. Learned Docker fundamentals and applied DevOps principles in a practical context. - Handled the entire development lifecycle, from feature design to production deployment — delivered a complete working solution within the internship period. Developed a proactive mindset, autonomy, and ownership over project outcomes.