Data Engineering Consulting
Backend and data engineering integrating the latest AI technologies. In Stockholm or remotely for clients worldwide.
About Updab
Updab AB, founded by William Saar (MSc) and incorporated in Sweden, offers AI-informed backend and data engineering services to international clients on a remote basis.
Experiences include data and backend engineering at scale for two consumer apps each serving 300M+ users, development of leading enterprise security and performance tools, and development and design of latency-sensitive financial trading tech.
Core Technologies:
Key Experience
- Backend and data engineering for Spotify and Candy Crush
- Data engineering for appsec and cloudsec analytics and Rust development for Rapid7
- Trading technology development for a Nasdaq-acquired marketplace platform powering exchanges such as Stock Exchange of Thailand and London Metal Exchange
- Development for the Java performance-tuning suite that became Java Mission Control and shipped with Oracle's Java Development Kit
- Helping San Francisco-based appsec startup tCell.io go from seed stage through Series-A to an acquisition by Rapid7
- AI courses with certifications: Nvidia's Building RAG Agents with LLMs, DeepLearning.AI's Generative AI with Large Language Models, Stanford's Machine Learning
- Patents in data analysis and software security
Projects
SpecToMCP
Generate Model Context Protocol (MCP) servers from Swagger / OpenAPI specifications
Visit Project →Model Comparison Agent
Python FastAPI and LangChain RAG agent with a Postgres vector store to compare AI models in a recruitment agency scenario
Visit Project →akhq-mcp-server
Open source MCP server to let AI assistants work alongside the user with Kafka monitoring tool AKHQ
View on GitHub →Flushout
Open source distributed data model based on event sourcing written in TypeScript
View on GitHub →ThinkCool
Mobile app developed with React Native and deployed to Apple and Google app stores (now decommissioned)
Learn More →GitBulletin
AI project in Rust demonstrating OpenAI APIs to generate newspaper-style front pages from Git commits, with Postgres vector stores for searching related activity
Visit Project →Writings and Talks
Migrating batch-ETLs to Streaming Flink
Presentation slides from technical talk about streaming data architecture
View Slides →