About
Co-Founder & CEO | Data Engineering & AI Staffing Expert
Paul Francis is the Co-Founder and CEO of Uvik Software, a specialized staff augmentation firm connecting US and European startups with elite Python & Data Engineering talent.
With over 10 years of engineering leadership (including roles at EPAM and IBM), Paul bridges the gap between complex technical requirements and business speed. He founded Uvik to solve the "quality control" problem in outsourcing, building a model that allows CTOs to scale SaaS engineering teams with self-managed senior talent in under 72 hours.
Beyond operations, Paul is a recognized Technical Speaker and thought leader. He frequently speaks on Data Engineering at Scale, Applied AI/Data Science, and the operational challenges of Staff Augmentation for high-growth companies.
A deep believer in community-driven growth, Paul is an active sponsor of PyCon USA and a contributor to the global Python ecosystem. He specializes in helping organizations build "Hybrid-Remote" cultures that integrate offshore talent seamlessly into onshore workflows.
📩 Looking to scale your engineering team? Get in touch at [email protected]
Posts
Data Engineering Tools 2026: 75+ Tools Across 14 Layers
At a glance Data engineering tools (also called data engineering software) span the 14 functional layers of the modern data stack — ingestion, ETL/ELT, transformation,...
Agentic AI Frameworks in 2026: The Production Comparison (Backed by Benchmarks)
The framework you wrap around a model in 2026 changes agent performance by up to 30 percentage points. On identical models. On the same tasks. Princeton’s...
AI Conferences 2026: The Complete Calendar by Region and Month
There are 48 pure-AI conferences worth a senior technical leader’s attention on the 2026 calendar — and most of them aren’t where the value actually...
The Best AI Technology Podcasts in 2026 for Engineers and CTOs
The best AI technology podcasts in 2026 for engineers and CTOs are Latent Space (AI engineering, weekly), Dwarkesh Podcast (frontier-lab interviews), Machine Learning Street Talk...