Mr. Schaffman

I developed an intelligent chatbot for a CAD software company to help users quickly access documentation and tutorials, reducing the learning curve and support requests. The chatbot interacts naturally with users, understands their queries, and provides contextual guidance within the software environment.

Key Features:

• Natural Language Processing (NLP): Users can ask questions in plain language, and the bot interprets and responds accurately.

• Contextual Assistance: Links to tutorials, guides, and FAQs based on the user’s current workflow or task.

• Integration: Embedded directly within the CAD platform or via web portal for seamless support.

• Continuous Learning: Logs user interactions to improve responses and suggest additional resources over time.

• Analytics: Tracks common queries and areas where users struggle, providing insights to improve software documentation.

Technologies Used: Python, Node.js, NLP libraries (SpaCy, HuggingFace Transformers), React for frontend integration, REST APIs for documentation retrieval, optional Docker deployment.

Outcome/Impact:

• Reduced support requests and user frustration.

• Accelerated onboarding for new users of the CAD software.

• Enabled the company to maintain up-to-date, self-service documentation accessible at any time.

Tepavi is an innovative platform based in Berlin that simplifies access to psychotherapeutic care in Germany.

It provides private therapists with turnkey solutions to handle patients on third-party billing with minimal administrative effort, while helping patients access outpatient therapy quickly, even when conventional practices have waiting lists.

As a fullstack developer at Tepavi, I was responsible for designing and maintaining technical solutions that automate complex administrative workflows for patient management. My key responsibilities included:

• Web application development – Creating intuitive user interfaces for therapists and patients to manage cases, submit claims, and track progress.

• Workflow automation – Implementing automated systems for processing care requests, reducing processing time and human errors.

• Third-party integrations – Connecting with health insurance databases to verify patient eligibility and ensure accurate billing.

• Performance optimization – Enhancing application scalability and security to handle large numbers of concurrent users efficiently.

• Cross-functional collaboration – Working closely with management, therapists, and patients to gather feedback and continuously improve tools

Technologies Used

• Frontend: React, Nextjs, Tailwind CSS

• Backend: Node.js, Python

• Databases: MySQL, Postgre

• Automation: n8n

• DevOps: Docker, GitLab CI/CD

Impact of My Work

Through these developments, Tepavi is able to:

• Reduce processing times for care requests from several weeks to just a few days.

• Improve patient satisfaction by providing faster access to necessary therapy.

• Ease administrative burden for therapists, allowing them to focus more on patient care.

• Ensure regulatory compliance with insurance requirements, minimizing the risk of disputes.

https://www.tepavi.de