Francisco Faria
Research Engineer @ INESC-ID | Blockchain & Distributed SystemsResearch engineer at INESC-ID building permissioned blockchain platforms for supply chain traceability. Previously developed robotics and computer-vision applications for healthcare at ISR-Lisboa.
- Lead technical architecture for a permissioned blockchain supply chain traceability platform on Hyperledger Fabric, serving major retail and industry partners in Portugal
- Develop enterprise integrators connecting ERP systems to the blockchain network
- Design RESTful API services and data models following GS1 EPCIS standard for interoperable supply chain visibility
- Set up and maintain a K3s-orchestrated cluster featuring services, APIs, CouchDB, Prometheus monitoring, and Grafana dashboards for performance and reliability
- Led development of three Android applications for TEMI autonomous robot deployed across healthcare sectors
- Trained and deployed YOLO computer vision model for real-time object detection and gesture recognition
- Built autonomous navigation system with configurable waypoints and touchscreen quiz interface for patient feedback
- Developed P2P video calling application using WebRTC for remote patient visits and live Q&A sessions
- Developed EvoChain, a chaincode extension for Hyperledger Fabric enabling controlled mutability in permissioned blockchains
- Introduced only 9% throughput overhead and 2% memory overhead while providing data correction flexibility
- Research paper submitted to IEEE NCA 2025
- Developed an Android application for knowledge assessment in a hospital environment with quiz-based testing system
- Implemented a locally hosted reinforcement learning algorithm to optimize notification timing and maximize engagement
- Specialization in Distributed Systems and Cybersecurity
- Dissertation: EvoChain — A Recovery Approach for Permissioned Blockchain Applications (18/20)
- Key courses: High Performance Computing, Cloud Computing and Virtualization, Forensics and Cybersecurity, Highly Dependable Systems
- Foundations in algorithms, data structures, OOP, databases, operating systems, computer networks, distributed systems, AI, and computer architecture
Featured
FoodSteps
Fullstack development and infrastructure leveraging Hyperledger Fabric blockchain technology for supply chain transparency and traceability, serving major Portuguese retailers.
EvoChain
A chaincode extension for Hyperledger Fabric enabling controlled mutability in permissioned blockchains that allows for time-limited data correction while preserving immutability and security.
More Projects
TEMI Object Recognition
Trained and deployed a YOLO computer vision model on the TEMI autonomous robot for real-time object detection and gesture recognition in hospital environments.
TEMI Autonomous Patrol
Built an autonomous navigation system with configurable waypoints and a touchscreen quiz interface for patient feedback collection during hospital rounds.
TEMI Remote Visits
Developed a P2P video calling application using WebRTC on the TEMI robot, enabling remote patient visits and live Q&A sessions between patients and healthcare staff.
Languages
Blockchain
Backend & APIs
Tools
A modular adapter architecture that facilitates enterprise blockchain adoption by bridging legacy systems with decentralized networks through five key components, including data extractors, transformers, and messaging middleware. Successfully validated in a real-world supply chain pilot, the system enables small and medium-sized enterprises to achieve seamless interoperability and operational transparency with minimal disruption to existing workflows.
A traceability application leveraging Hyperledger Fabric to provide a decentralized "single source of truth", achieving optimal throughput and consistent latencies using 49 MB multi-transaction blocks. Tested across 10 independent peer instances, the system optimizes data sharing for multiple stakeholders while providing actionable insights into storage efficiency and memory usage for sustainable agro-food scalability.
EvoChain, a smart contract development framework, introduces controlled mutability to Hyperledger Fabric, enabling time-limited data corrections via a "grace period" while preserving long-term auditability. Validated through the an example supply chain based application, it offers operational flexibility with a minimal performance overhead of 9% throughput and 2% memory usage.
An intelligent self-hosted notification system that uses an UCB-Day algorithm UCB-Day algorithm to optimize health questionnaire timing by learning individual receptivity patterns. In a real-world pilot, the system achieved a 0.819 goal achievement rate with only 1.89 daily notifications.