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Francisco Faria

@franciscofaria

Software Engineer specializing in backend systems, cloud infrastructure, and permissioned blockchain—building production distributed platforms.

Portugal

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What I'm looking for

I’m looking to build production-grade distributed backend and cloud systems where auditability matters—leading teams that value CI/CD, observability, and real-world integrations with strong collaboration.

I’m a Software Engineer specializing in Backend Systems, Cloud Infrastructure, and Blockchain, with tech lead experience building production-grade distributed platforms. From bare-metal k3s deployments and CI/CD pipelines to ERP integrations and permissioned ledger architectures, I focus on auditability, compliance, and real-world reliability.

At INESC-ID Lisbon, I’ve served as a Research Engineer on Project BLOCKCHAIN.PT, where I led a 5-person team delivering a €1.7M-funded traceability initiative integrating ERP systems with distributed ledger infrastructure. I designed and deployed k3s services across 5 bare-metal machines, implemented observability with GitHub Actions plus logging/alerting, and partnered with 10+ stakeholders across production environments; previously, I built EvoChain with Hyperledger Fabric to enable controlled data mutability with low overhead.

Experience

Work history, roles, and key accomplishments

Current

Research Engineer

Current

INESC-ID

Sep 2024 - Present (1 year 9 months)

Tech lead for a 5-person team building a blockchain-based traceability platform responsible for
delivery of a €1.7M-funded initiative, integrating ERP systems with distributed ledger infrastructure. Designed and deployed services on k3s across 5 bare-metal machines, processing 20k+ traceability records in production.

Kubernetes Hyperledger Fabric Grafana Loki Prometheus TypeScript GitHub Actions

Junior Researcher

Institute for Systems and Robotics

Sep 2021 - Jul 2024 (2 years 10 months)

IntelligentCare: Development of a prototype Android application with the goal of implementing an intelligent and low memory consumption notification system that learns by exploration. Publication in a journal.
◦ Shift HRI: Implementation of neural models for detection and recognition, using the TEMI Robot, giving it the ability to execute actions based on recognized objects.

WebRTC Android Kotlin Java

Research Intern

INESC-ID

Oct 2022 - Nov 2023 (1 year 1 month)

Built a blockchain development framework using Hyperledger Fabric that enables controlled data mutability for enterprise systems. Achieved low overhead (9% throughput, 2% memory), improving feasibility for real-world adoption.

Hyperledger Fabric Distributed Systems Blockchain Development Performance Optimization Throughput

Education

Degrees, certifications, and relevant coursework

Instituto Superior Técnico

Master of Science in Computer Science and Engineering, Computer Science and Engineering

2021 - 2023

Master of Science in Computer Science and Engineering with a specialization in Distributed Systems and Cybersecurity. Dissertation: EvoChain: A Recovery Approach for Permissioned Blockchain Applications.