Engineering Leadership
Grow engineering and research teams with a building-oriented culture and strong alignment with business goals.
I am Mario Dagrada, an engineering leader with 10+ years of experience in scientific and AI-powered software products. I speak both the engineering and science languages and love building, especially if it involves translating difficult scientific workflows into revenue-generating applications.

Focus areas
Grow engineering and research teams with a building-oriented culture and strong alignment with business goals.
Translate complex scientific workflows (mostly ML-based) into delightful and usable software products.
Focus on HPC, distributed training systems, and LLM agentic pipelines.
Mar 2026 — now
GroundIQ (part of Fugro)
Turn scientific expertise into modern AI-driven products in the geotech engineering domain. Tech leadership for 2 teams (15 engineers).
Nov 2024 — now
Dagrada Consulting Services
Design LLM infrastructure, agent pipelines, and evaluation systems for SaaS, R&D, and insurance clients. More details available upon request.
Feb 2024 — Sep 2025
Friday Energy
Led the engineering team in a period of high grow (2 to 10 people, 5 to 80 clients), developing algorithms to control renewable energy assets (batteries, solar panels).
Sep 2020 — Feb 2024
PASQAL
Started and grew a 15-person engineering organisation building tools for 40+ scientists across multiple departments.
Apr 2018 — Sep 2020
Forescout Technologies
Led the product innovation roadmap for eyeInspect, an application to protect critical infrastructures from cyberthreats.
Aug 2016 — Apr 2018
Atos Bull
Straight after PhD, worked on HPC interconnect network protocols and performance optimization of scientific applications.
Selected work

2020 · HPC
Accurate quantum Monte Carlo simulations for molecules and materials, built for extreme performance.
Read project →
2025 · Finance
A free quality-focused stock screener for building thoughtful portfolios.
Read project →
2023 · Quantum computing
A differentiable, native digital-analog interface for quantum programs with PyTorch.
Read project →Selected writing
A practical introduction to using neural networks to solve differential equations by incorporating physical constraints.
Research on quantum-inspired neural-network architectures built around harmonic structure and symmetry.
A patent covering runtime collaboration techniques that overlap communication and computation in parallel systems.