Postgraduate in AI & ML
February 2026 – June 2027 (in progress)
PUC Minas
- Graduate Specialization (Lato Sensu)
- Artificial Intelligence
- Machine Learning
About
Technology is more than my profession. It is one of my greatest passions. ❤️
My journey is driven by curiosity, a constant desire to learn and the conviction that technology, when well applied, has the power to transform businesses, connect people and build a better future.
I am a specialist in Artificial Intelligence, Machine Learning, Solution Architecture and Software Engineering, with more than two decades of experience in technology, spanning different generations of systems, architectures and digital transformations.
🧠 Artificial Intelligence, Engineering and Innovation
My work combines technical depth with strategic vision. I have experience building solutions based on Generative AI, Large Language Models (LLMs), intelligent agents, RAG architectures, Machine Learning, MLOps and distributed systems.
I like to understand technology at its core: exploring architectures, investigating models, writing code, experimenting with new approaches and turning complex ideas into real, scalable and sustainable solutions.
From architectural design to production deployment, I believe in engineering grounded in best practices, security, observability, performance and continuous evolution.
👥 Leadership is about technology, but above all about people.
Throughout my career, I have led multidisciplinary teams, taken part in strategic decisions and driven projects from their first hypotheses all the way to stable production environments.
I believe in close, technical and human leadership — one that develops talent, encourages autonomy, shares knowledge and builds environments where people can grow and do extraordinary work.
For me, the best results come when technical excellence, collaboration and purpose go hand in hand.
💡 An engineer’s mindset. A vision for the future.
My professional foundation was built long before Artificial Intelligence became mainstream. I have worked across infrastructure, networking, operating systems, databases, software development, distributed architectures and cloud computing.
This diversity gives me an integrated view of technology, allowing me to understand not only models and algorithms, but all the engineering needed to turn innovation into reliable products and concrete results.
I am still that enthusiast who loves to experiment, take concepts apart, study new technologies and find out how things work. The curiosity that brought me here is still what drives me forward.
✈️ Between code, algorithms and clouds.
Beyond engineering, I am an airplane pilot and passionate about aviation.
Flying has taught me lessons I carry into my professional life: discipline, planning, situational awareness, responsibility and the importance of making good decisions, especially in complex scenarios.
In aviation, just as in engineering, knowledge, precision and teamwork make all the difference.
In the end, I believe technology and aviation share something essential: both turn knowledge into possibilities and challenge us to go further and further.
🚀 I am still driven by the same passion that got me started: learning, building, sharing knowledge and exploring new horizons.
Email: leonardobbh@gmail.com
Phone:+55 31 99131-7123
City: Belo Horizonte - MG
Country: Brazil 🇧🇷
Languages: Portuguese (native), English (professional)
Interests
AI Agents & Multi-Agent Systems
LLMs & Generative AI
Edge AI
Responsible & Ethical AI
Research & Papers
Open Source
Robotics
Quantum Computing
Education
Software Engineering
July 2013
Impacta
- Programming and Data Structures
- Systems Engineering and Analysis
- Software Architecture and Design Patterns
- Databases and Information Systems
- DevOps, Testing and Version Control
Computer Networks
July 2013
Pitágoras
- Reference Models (OSI and TCP/IP)
- IP Addressing and Subnetting (IPv4/IPv6)
- Communication and Security Protocols
- Switching and Routing
- Network Monitoring and Troubleshooting
Certifications
TensorFlow Developer
2022
Coursera
- Neural Networks with TensorFlow and Keras
- Preprocessing with TensorFlow
- Computer Vision | CNNs
Google Cloud Solution
2022
- Cloud Architecture on GCP
- Infrastructure Management
- Security and Compliance
AWS Solutions Architect
2021
AWS
- Cloud Architecture Design
- High Availability Architectures
- Performance and Cost Optimization
Machine Learning Engineer
2017
Nanodegree — Udacity
- Predictive Modeling
- Feature Engineering
- MLOps
Deep Learning Specialization
2017
Deeplearning.ai
- Deep Neural Networks
- Convolutional Neural Networks (CNNs)
- Sequence Models and NLP
LPIC 2 - Linux Engineer
2016
Linux Professional Institute
- Kernel | Advanced Networking and Services
- Storage Management
- Security and Authentication
PCI DSS
2017
Payment Card Industry Data Security Standard
- Security Controls Implementation
- Risk and Vulnerability Management
- Application and Systems Security
Experience
V8.TECH
May 2025 – August 2026
AI Architect | Tech Lead | AI & Machine Learning Specialist
- Tech Lead, AI Architect and specialist in Artificial Intelligence, Machine Learning, Data Science and Software Engineering, leading high-complexity initiatives from discovery and architecture definition through deployment and production operations.
- Design of AI and software architectures: solutions with LLMs, intelligent agents, RAG, embeddings, vector databases, microservices, APIs, messaging, asynchronous processing, data pipelines, observability, security, governance and scalability.
- Technical leadership: defining standards, architecture reviews, mentoring, code review and growing multidisciplinary teams, fostering autonomy, technical quality and continuous improvement.
- Distributed systems, microservices, APIs and cross-platform integration.
- Observability, governance, security and cost control, with architecture decisions driven by scalability, performance and business goals.
- Taking solutions from POC to production.
Kunumi
August 2020 – February 2025
Tech Lead | AI & Machine Learning Specialist | Senior Software Engineer
- Tech Lead of technical teams on Artificial Intelligence and Machine Learning projects for clients. Responsibilities included technical architecture, data engineering and data science, software development and machine learning models.
- Featured projects — Health insurer: ETL development, building and deploying classification, clustering and decision tree models on AWS infrastructure using containerization and resource optimization. Stack: AWS, PostgreSQL, APIs, Apache Spark, Pandas, Sklearn, Keras, PyTorch.
- Logistics operator: Led the integration of AI models with the CRM system. Stack: PostgreSQL, statsmodels, Python Flask, Docker, React.js.
- Multinational consumer goods company: Data engineering and data science, including ETL processes built specifically for artificial intelligence models. Stack: MLflow, Airflow.
- National retail chain: End-to-end implementation of a conversational assistant using advanced models. Stack: Rasa, NLU, BERT, spaCy, RabbitMQ, Apache Kafka, MongoDB, Python, Node JS, React JS.
- Pulp and packaging manufacturer: Predictive models with data engineering and data science on the Microsoft Azure platform. Stack: Azure Analytics Services.
- Power utility company: Built and deployed anomaly detection models. Stack: Google Cloud, PyOD, Flask, React JS.
- Manufacturing company: Data engineering and predictive models integrated into a complete analytics platform. Stack: Google Cloud, Kubernetes, Docker, LightGBM, XGBoost, Pandas, Dask, Apache Spark, Fullstack Node JS, React JS.
- Development of LLM-based (Large Language Model) intelligent agents for task automation and conversational interaction.
- Advanced models: LLM for candidate screening.
Nubefy Tecnologia
August 2020 – December 2024
CEO
VelAir - Civil Aviation School
September 2018 – April 2024
Fullstack Developer
- Fullstack development of management systems for a civil aviation school
- Mobile flight monitor built with Flutter
- SQL scripts and test case scenarios
- Web and mobile UI development (Android and iOS)
- Technologies: Next JS, React JS, Express JS, MongoDB, AWS EC2, AWS RDS, PHP, Laravel, Tailwind, Bootstrap, jQuery, Material Design, MySQL, PostgreSQL.
TrackerUp
October 2019 – February 2020
Infrastructure Architect, Dev Lead - Node JS | PHP
- Tested, designed and developed backend APIs for a WebRTC-enabled multi-party video conferencing web application, delivering the project 15 days ahead of schedule through an efficiently designed project flow.
- Architecture, planning and deployment of on-premise and cloud infrastructure for the Tracker Up system.
- GNU/Linux infrastructure management (Debian - Ubuntu - CentOS - Proxmox - AWS).
- Development and maintenance of internal systems and jobs in PHP, Python and Shell Script.
Capgemini
July 2019 – October 2019
DevOps and Senior Developer Java | Python | PHP
- Development and maintenance of PHP systems for the SEI platform (Electronic Information System) for TJMG (Minas Gerais Court of Justice).
- Architecture and development of the DevOps environment for Capgemini BH.
Sicoob
May 2016 – August 2019
Software Architect / Engineer
- Architecture and design of computer network and datacenter infrastructure.
- Led infrastructure projects: email services and ERP and CRM system rollouts.
- Development of credit engines for individuals and businesses using Machine Learning techniques.
- Implementation of supervised classification models, with emphasis on decision trees and Random Forest.
- Focused on risk analysis, automation and decision support for credit approval.
- AI model technologies: Scikit-learn, XGBoost, LightGBM, Pandas, Jupyter Notebook, NumPy and Matplotlib / Seaborn
- Infrastructure technologies: Proxmox, DBA, Nginx, Apache, MySQL, PHP, Shell Script, Python, Infrastructure, VPN, Storage Server, HAProxy, OpenSSL, DNS, DHCP, Samba, LVM Storage, Digital Certificates, Firewall, Information Security, Load Balancing.
Stratus TI
June 2017 – March 2019
Systems Analyst | Software Engineer | DBA
- Stratuscard System: development of applications and processing for Private Label payment methods (credit cards) for credit unions (Sicoob) and trade unions in Minas Gerais — infrastructure, modeling and multi-platform system development (Desktop, Web, Android, iOS) and payment APIs following PCI-DSS rules and procedures.
- Business Intelligence: reporting, online analytical processing, data and text mining, complex event processing, business performance management, benchmarking, predictive and prescriptive analytics.
- Technologies: MySQL, Oracle PL/SQL, MongoDB, Redis, PHP, Java, Python, HTML5, CSS, JavaScript, jQuery, AngularJS, Bootstrap, Material Design, Ionic, Cordova, Shell Script, Microsoft Power BI, Microcontrollers (C/C++), Linux, FreeBSD, Windows Server, Docker, HAProxy, GlusterFS, Nginx, Apache, ZFS, AWS Cloud, Google Cloud.
HCS Computadores
2006 – 2010
Infrastructure Specialist
- Systems development, projects and computer network administration for companies in the mining, steel and environmental sectors.
- Vallourec Mannesmann: TOTVS systems and infrastructure rollout.
- Carpathian Gold: design and deployment of network infrastructure, structured cabling, Windows Server servers, firewalls and interconnection between Quebec (Canada), Romania, Belo Horizonte and Riacho dos Machados.
- Rocha Alves Equipamentos Topográficos: computer network deployment, Windows Server servers and user support.
- Technologies: Cisco, VPN, Windows Server, Active Directory, ISA Server, Exchange Server, Red Hat Linux, Shell Script, Structured Cabling, Fiber Optics, Data Center.
MMNet
2005 – 2006
IT Technician
- Outsourced services for Magnesita S/A: support and maintenance of desktops, notebooks, printers and monitors.
Escola Estadual Maestro Villa-Lobos
2001 – 2005
Analyst
- School management systems development, data analysis, computer maintenance, projects and computer network administration.
- Technologies: Clipper, xBase, FoxPro, Delphi 7, Interbase, Quick Reports, Rave Reports, Conectiva Linux, SSH, Windows Server 2000/2003, Active Directory, Structured Cabling, Firewall, FTP Server.
Case Studies
Generative AI
AI agent platform with RAG
- Challenge
- Automate tasks and interactions that depended on internal knowledge scattered across documents and systems.
- Solution
- LLM-based agents with RAG, embeddings and a vector database, exposed through microservices and asynchronous processing.
- Outcome
- From POC to production, with observability, governance and cost control from day one.
- LLMs
- RAG
- Embeddings
- Vector Databases
- Microservices
- Messaging
Healthcare
Predictive models for a health insurer
- Challenge
- Turn large volumes of healthcare data into model-driven decisions.
- Solution
- ETL pipelines and classification, clustering and decision tree models in the cloud, with containerization and resource optimization.
- Outcome
- Models deployed to production on scalable, cost-optimized infrastructure.
- AWS
- PostgreSQL
- Apache Spark
- Scikit-learn
- PyTorch
- Docker
Retail
End-to-end conversational assistant
- Challenge
- Scale customer service for a retail chain with consistent answers across multiple channels.
- Solution
- Assistant built on NLU and language models, integrated with internal systems through queues and streaming, with a web front end.
- Outcome
- Complete implementation, from language understanding to integration with business systems.
- Rasa
- BERT
- spaCy
- Kafka
- RabbitMQ
- MongoDB
- React
Energy
Anomaly detection in the power sector
- Challenge
- Spot abnormal behavior in operational data before it turned into problems.
- Solution
- Unsupervised anomaly detection models served via API, with a web dashboard for analysis.
- Outcome
- Models built and deployed, supporting operational monitoring.
- Google Cloud
- PyOD
- Flask
- React
Manufacturing
Industrial predictive analytics platform
- Challenge
- Unify production and business data to anticipate demand and support planning.
- Solution
- Distributed data engineering and gradient boosting models integrated into a fullstack analytics platform.
- Outcome
- Complete platform on Kubernetes, with predictive models built into the decision flow.
- Google Cloud
- Kubernetes
- LightGBM
- XGBoost
- Apache Spark
- Dask
Logistics
AI integrated into the CRM
- Challenge
- Bring model predictions into the day-to-day work of sales teams.
- Solution
- Statistical models exposed via API and integrated into the CRM, with a web interface and containerized deployment.
- Outcome
- Predictions available directly in the system the team already uses, with no manual steps.
- PostgreSQL
- Statsmodels
- Flask
- Docker
- React
Skills
Generative AI & LLMs
- LLMs
- RAG
- Embeddings
- LangChain
- LangGraph
- LlamaIndex
- OpenAI
- Anthropic
- Hugging Face
- Prompt Engineering
Also worked with
vLLM · Ollama · Rasa · T5X / Flax
AI Agents
- Hermes AI
- OpenClaw
- NemoClaw
- Multi-Agent Systems
- Agent Orchestration
- Tool Calling
- MCP
- A2A
- Agent Memory
- Planning & Reflection
- ReAct
- Context Engineering
- Human-in-the-loop
Also worked with
Long-running autonomous agents · Sub-agents · Computer Use agents
Evals & Harness
- LLM & Agent Evals
- Harness Engineering
- Eval Harness
- LLM-as-a-Judge
- Evaluation Datasets
- Prompt Regression Testing
- Guardrails
- Red Teaming
Also worked with
Benchmarks · Human Evaluation · Model A/B Testing
Graph Engineering
- Knowledge Graphs
- GraphRAG
- Neo4j
- Cypher
- Ontologies
- Graph Modeling
Also worked with
Graph Algorithms · Entity Resolution
Machine Learning & Data Science
- PyTorch
- TensorFlow
- Scikit-learn
- XGBoost
- LightGBM
- Transformers
- NLP
- Computer Vision
- Anomaly Detection
Also worked with
JAX · Keras · Statsmodels · H2O · spaCy · NLTK · BERT · PyOD · AutoML · Pandas
Data & MLOps
- Apache Spark
- Kafka
- Airflow
- MLflow
- Databricks
- Snowflake
- ML Pipelines
- AIOps
- AgentOps
Also worked with
Dask · Ray · Presto / Trino · Hadoop · SageMaker · Vertex AI · Azure Synapse · Power BI
Architecture & Engineering
- Solution Architecture
- Spec-Driven Development
- Microservices
- Distributed Systems
- APIs
- Messaging
- Python
- FastAPI
- Node.js
- Go
Also worked with
Java · Spring Boot · Django · Flask · Express · Fastify · PHP · Laravel · Ruby on Rails · C / C++ · C# · React · Next.js · Vue · Svelte · Tailwind
Cloud & DevOps
- AWS
- Google Cloud
- Azure
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- GitLab CI
Also worked with
Oracle Cloud · Linux · Proxmox · Nginx · HAProxy · RabbitMQ · Windows Server
Observability
- Prometheus
- Grafana
- OpenTelemetry
- Logs / Metrics / Traces
- LLM & Agent Tracing
- AI Cost Monitoring
- Model Monitoring (Drift)
- SLOs & Alerting
Security
- AI / LLM Security
- OWASP Top 10 for LLMs
- Prompt Injection
- AppSec / OWASP
- DevSecOps
- IAM
- Secrets Management
- Zero Trust
- LGPD
- PCI-DSS
Also worked with
Networking / VPN / Firewall · Digital Certificates · Information Security
IoT & Edge
- MQTT
- ESP32
- Arduino
- Raspberry Pi
- Edge AI
- AWS IoT Core
- Azure IoT Hub
- Device Telemetry
Also worked with
Microcontrollers (C / C++) · Time Series
Databases
- PostgreSQL
- pgvector
- Qdrant
- Pinecone
- Weaviate
- MongoDB
- Redis
Also worked with
MySQL / MariaDB · SQL Server · Oracle · DynamoDB · Cassandra · Firestore · Bigtable · InfluxDB · TimescaleDB