Leonardo Henrique Nascimento

Engineering Unit Manager & Generative AI Program Manager

I build engineering organizations and the operating models that make them profitable. Today I run an automotive embedded software unit of ~75 engineers — scaled to a peak of ~150 — with full accountability for its P&L, utilization, hiring, and talent development. In parallel, I lead the implementation of Generative and Agentic AI for software engineering projects across Portugal.

My track record is one of scaling: from individual contributor in C/C++ and computer graphics, to technical design authority on mission-critical semiconductor and automotive programs, to owning a unit's economics at +95% utilization. An Executive MBA from The Lisbon MBA and an immersion at MIT Sloan gave me the financial and strategic vocabulary to pair with that engineering depth.

What I care about is turning AI from an experiment into a durable operating advantage — measured in shipped value, not pilots — and building teams where technical judgement and business ownership live in the same people.

~75
Engineers in unit today
43 → 150
Scaled at peak
+95%
Sustained utilization
15+
Years in engineering

Professional Experience

Capgemini Engineering (formerly Altran)

Portugal · Dec 2018 – Present
Program Manager, Generative & Agentic AI 09/2024 – Present
  • Implementation lead: Lead the implementation of Generative and Agentic AI for software engineering projects across Portugal — rolling out GitHub Copilot, GitLab Duo, and Claude Code to 50+ active projects and enabling 200+ engineers to ship more value with measurably better code quality.
  • Portfolio shaping: Translate ambiguous business problems into concrete AI problem definitions and reference architectures, using LangChain, LangGraph, Microsoft AutoGen, RAG pipelines, and vector stores (Chroma).
  • Executive reporting: Track and report initiative progress, adoption roadblocks, certification coverage, and solutioning pipeline to practice leadership.
Engineering Unit Manager — Automotive Embedded Software 05/2022 – Present
  • Organizational leadership: Built and lead an engineering unit spanning AD/ADAS, Body, Chassis, Cluster, Infotainment, Platform, Powertrain, and Telematics — scaled from 43 engineers to a peak of ~150, and today a focused technical unit of ~75 engineers, architects, and engineering managers.
  • P&L ownership: Accountable for the unit's revenue and cost structure (ARC/ADRC), sustaining an ARVE (utilization) of +95% and building the right pyramid shape for the team.
  • Talent engine: Own hiring, promotion, salary, and career development, operating through 8 senior engineers acting as people managers — a model that maximized retention and practice attractiveness.
  • Design authority & presales: Lead high-stakes solutioning with Industry Units, challenge architecture decisions, and drive delivery with direct volume increase (DVI) and add-on sales.
  • Standards: Drive adoption of engineering standards and certifications across Functional Safety (ISO 26262), Cybersecurity (ISO 21434), AUTOSAR Classic & Adaptive, and Embedded Linux/Android/QNX.
Technical Project Manager, GenAI 09/2025 – 12/2025
Tier-1 Automotive Client
  • Identified the highest-value opportunities inside a Tier-1 automotive software program where GenAI and Agentic AI could move quality and productivity.
  • Architected and built a Python/Flask application on a hexagonal architecture that generates full test cases (precondition, action, expectation) from informal system requirements — deployable on-premises or on the hyperscaler of choice, backed by AWS Bedrock, Amazon RDS, Amazon SQS, and AWS CDK.
  • Impact: Cut test case generation from 30 minutes to 1 minute plus ~10 minutes of human review — a ~60% productivity gain and a 2.7x velocity improvement, measured with a framework I put in place.
Team Leader & Technical Product Owner 05/2020 – 04/2022
Client · VDL ETG / ASML — Wafer Handling
  • Scrum Master, Product Owner, and Technical Leader for the VDL ETG wafer handling program on TWINSCAN NXT/NXE/EXE lithography systems — pick/place and in-vacuum robotics, in C/C++ and Python.
  • Grew the Embedded Application Systems department from 43 to 65 engineers while maximizing gross margin and direct volume and minimizing turnover.
  • Owned modular, scalable architecture and design, on-target testing, and continuous process improvement under hard real-time and safety constraints.
Senior Consultant/Engineer & Team Coordinator 12/2018 – 04/2020
Client · ASML — Reticle Handling
  • Technical leader and Scrum Master for the ASML reticle handling program, delivering embedded control software and algorithms in C/C++ and Python.
  • Coordinated a team of 20 engineers and built the technical onboarding path for the Embedded & Safety Critical Systems unit — codifying field learnings into a repeatable enablement playbook.

BTG Pactual

Rio de Janeiro, Brazil · Jul 2017 – Dec 2018
IT Analyst — Life & Pension | Asset Management 07/2017 – 12/2018
  • Drove the modernization of asset and pension platforms at Latin America's largest investment bank, decommissioning vendor software (Advent Geneva) in favour of in-house systems.
  • Designed and delivered microservices (C#/.NET, WCF), Windows Services, and desktop applications integrating the bank's cash, asset trade, provisioning, and settlement ecosystems over IBM MQ and REST APIs.

Instituto Infnet

Rio de Janeiro, Brazil · Sep 2016 – Dec 2018
Executive Education Coordinator & Lead Professor 09/2016 – 12/2018
  • Hired, coached, and developed a faculty of 6 professors delivering the "MIT in Software Engineering with .NET" executive specialization across 8 enterprise cohorts.
  • Built the curriculum and enablement materials from scratch — my first experience designing a repeatable technical program rather than a single delivery.

Tecgraf PUC-Rio

Rio de Janeiro, Brazil · Apr 2014 – Jun 2017
Lead Software Engineer 04/2016 – 06/2017
  • Led teams building desktop applications and serious games addressing critical oil & gas problems for Petrobras — including subsea blowout response simulation (C#/WPF, Oracle DB).
  • Owned requirements, design, development, testing, and deployment end to end, with CI/CD on TeamCity and reproducible environments via Vagrant.
Computer Graphics Software Engineer 04/2014 – 03/2016
  • Built VR and natural-interaction prototypes on Oculus Rift, Microsoft Kinect, and a custom CAVE system using C#, C++, and Unity — work that produced two peer-reviewed publications.

PSafe Tecnologia

Rio de Janeiro, Brazil · Aug 2011 – Mar 2014
C++ Developer 12/2012 – 03/2014
  • Developed the full desktop portfolio of a high-growth Brazilian security startup (Protege, Lockbox, Turbo, ClickSeguro, Total) in C++ and Qt — PSafe Protege alone reached 35M installs and 7.5M monthly active users.
Web Developer 08/2011 – 11/2012
  • Built internal systems and maintained the main product and company website using C#, ASP.NET, JavaScript, and jQuery.

Tecgraf PUC-Rio

Rio de Janeiro, Brazil · Aug 2007 – Jul 2011
C/C++ Developer 08/2007 – 07/2011
  • Built a cross-platform (Linux/Windows) desktop application used by geophysicists to analyze seismic data for offshore oil exploration, with GPU-accelerated visualization in OpenGL, GLSL, and CUDA.

Publications

Virtual Reality as a Support Tool for the Treatment of Flying Phobia 11/2017
19th Symposium on Virtual and Augmented Reality (SVR'17)
  • A pilot study presenting a VR application for systematic exposure to stimuli causing anxiety related to the fear of flying. Read paper →
Interaction Techniques for Laymen in Immersive Virtual Reality 10/2014
XIII Brazilian Symposium on Human Factors in Computer Systems (IHC 2014)
  • Challenges and navigation heuristics for first-time users of immersive VR headsets. Read paper →

Education

Executive MBA, Business Management

The Lisbon MBA Católica | Nova

09/2022 – 07/2024

Immersion Program, Entrepreneurship

MIT Sloan School of Management

2023

MSc., Computer Science

PUC-Rio

2012 – 2016

BSc., Computer Engineering

PUC-Rio

2004 – 2011

Core Competencies

  • ✓ GenAI & Agentic AI Implementation
  • ✓ Engineering Org Leadership
  • ✓ P&L, Utilization & Unit Economics
  • ✓ Hiring, Talent & Retention Strategy
  • ✓ Presales Solutioning & Account Growth
  • ✓ Technical Design Authority
  • ✓ Executive & CTO-level Communication

Technical Depth

  • C
  • C++
  • C#
  • Python
  • Rust
  • TypeScript
  • JavaScript
  • Qt
  • QML
  • Angular
  • Software Engineering
  • Object-Oriented Programming
  • Generative AI
  • Agentic AI
  • Prompt Engineering
  • Context Engineering
  • LangChain
  • LangGraph
  • AutoGen
  • RAG
  • Vector DBs
  • AWS Bedrock
  • AWS CDK
  • Amazon RDS
  • Amazon SQS

Certifications

  • Agentic AI Nanodegree — Udacity (2025)
  • GenAI for Software Development — DeepLearning.AI (2025)
  • Capgemini L2 Automotive Industry Certification (2025)
  • Google Prompting Essentials — Coursera (2025)
  • Decision Making — Harvard ManageMentor® (2025)
  • Green Software for Practitioners — Linux Foundation (2024)
  • Connected Manager — Capgemini / Harvard (2023)
  • CPA — C++ Certified Associate Programmer (2022)
  • Business Statistics and Analysis — Rice University (2022)
  • TinyML — HarvardX (2021)

Open Source

All projects →

Languages

  • Portuguese — Native
  • English — Bilingual
  • Spanish — Basic
  • French — Basic