As Lead Developer in the AI Taskforce, I have successfully developed two AI products and an AWS project:
Intelligent Chatbot Integration (React & Botpress LLM API):*
Techstack: React, Node.js, Botpress API
Development and deployment of a context-aware AI solution using Botpress as a knowledge base engine
Development of customized React components for seamless integration of the chatbot into the existing architecture of the company website
Optimized chatbot response processing and state management with React hooks and context API
Enterprise ChatGPT with Vector database integration:*
Techstack: React, Vector Database (LanceDB), Docker Compose
Extensive customization of an open-source LLM platform with React to create an enterprise-ready and private knowledge management system
Development of custom connectors for Microsoft SharePoint and Confluence to automatically extract, process and transform enterprise documentation into Vector embeddings
Implementation of LanceDB as a vector database solution for efficient semantic search
AWS automation for publisher:*
Techstack: AWS SDK, Node.js, Typescript, AWS Transfer, AWS DynamoDB, AWS Lambda
Using the AWS SDK, I designed and implemented a Node.js microservice that utilizes AWS Transfer Family, S3, EventBridge, DynamoDB, and Lambda Services from AWS to automate a process for a publishing client's magazines. The microservice is dockerized and the AWS infrastructure is parameterized with Terraform as Infrastructure as Code
Increased sales for a chain of butcher shops by developing an immersive 3D shopping experience that allows customers to select meat products directly from the perspective of a realistic shop counter.
Development of a modern, self-managed identity solution. This project, based on the Hyperledger Aries framework, is at the forefront of digital identity management and is financially supported by the Federal Ministry of Economics and Innovation.
As a fullstack developer, I develop AI applications with a focus on LLMs and semantic search with vector databases (RAG).
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