Updab - Software and data engineering consulting

Data engineering consulting

About Updab

Updab AB, founded by William Saar (MSc) and incorporated in Sweden, offers backend and data engineering consulting services to international clients on a remote basis.

William's experiences include data and backend engineering at scale from two consumer apps each serving 300M+ users, development of leading enterprise security and performance tools, and latency-sensitive financial trading tech.

Technologies include LangChain, LLMs, Apache Flink, Kafka Streams, Apache Beam, Google Dataflow, BigQuery, as well as older Hadoop-based frameworks, and programming languages Java, Rust, Scala, TypeScript, Python, Go, and SQL.

Backend and data engineering for Spotify and Candy Crush
Data engineering and Rust development for application security leader 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 a San Francisco-based startup go from seed stage, through Series-A to an acquisition
Patents in data analysis and software security

Courses and Certifications

2025 - Building RAG Agents with LLMs - NVIDIA

2023 - Generative AI with Large Language Models - DeepLearning.AI, Coursera

2014 - Machine Learning - Stanford, Coursera

Writings and Talks

Slides from talk about Migrating batch-ETLs to Streaming Flink
https://www.slideshare.net/WilliamSaar/migrating-batch-etls-to-streaming-flink

ITNEXT article: Serverless Twitter bot with Google Cloud
https://itnext.io/serverless-twitter-bot-with-google-cloud-35d370676f7

tCell/Rapid7 blog article: Trusting Agents with Rust
https://blog.rapid7.com/2017/06/01/trusting-agents-with-rust/

Projects

GitBulletin - AI project in Rust that demonstrates using OpenAI APIs to generate newspaper-style front pages from Git commits, and Postgres vector stores with embedding models to search related activity.
https://gitbulletin.com/repo/saarw/flushout

Open source project Flushout - a distributed data model based on event sourcing written in TypeScript
https://github.com/saarw/flushout