Cláudio Correia
Senior R&D Software Engineer at Feedzai — Systems Research team, led by Sofia Gomes.
I focus on high-performance Machine Learning Infrastructure. I recently received my Ph.D. in Computer Science and Engineering from Instituto Superior Técnico (IST) — Universidade de Lisboa, where I was a researcher at the Distributed Parallel and Secure Systems (DPSS) group at INESC-ID Lisboa.
Current Work & Research Interests
My current work centers on building and scaling low-latency (<30ms at p99) ML Model Serving systems on Kubernetes that handle thousands of transactions per second to fight financial crime. Collaborating closely with my team, we designed and built Feedzai's internal Generative AI infrastructure from the ground up, supporting AI Agent workflows.
Previously, during my Ph.D., I innovated in the field of edge computing security using trusted execution environments and cryptography, and collaborated with Oracle Labs to address performance bottlenecks in the FaaS platform of GraalVM.
Professional Experience
Senior R&D Software Engineer
2024 – Present- Model Serving: Maintained and improved Feedzai's K8s-based inference platform (Java/Quarkus) with <30ms p99 latency, including on-call rotations. Experienced with Prometheus/Grafana observability and event storage in Apache Iceberg for custom Airflow DAGs. Delivered autonomous calibration, real-time explanations (Shapley values), and RiskFM model infrastructure.
- Generative AI Infrastructure: Built the internal GenAI stack featuring an LLM Gateway (LiteLLM) and MCP servers to power AI Agent workflows, fully integrated with AWS Bedrock, Mantle, and Guardrails.
- Systems Research: Co-author scientific articles and supervise university MSc theses, recently mentoring a project on automated Model Governance Reports (MGR) and lifecycle dashboards.
Research collaboration with GraalVM team
2024- Identifying and addressing performance bottlenecks on the FaaS platform of GraalVM, which requires improving the current CFS scheduler provided by the Linux kernel.
- Using previous access patterns to employ time series forecasting models to predict future spikes in popularity for specific cloud functions.
DPSS Researcher
2018 – 2024- ACES: A European project focused on providing a secure, resilient and privacy-compliant service that manages resources and workloads for micro data centers located at the edge.
- SmartRetail: A project to design and develop of advanced cryptography protocols for security and privacy-preserving technologies for smart-retail.
- NG-STORAGE: A project in collaboration with NOVA LINCS, to design and develop a new generation of data storage and management systems aimed to edge environments.
System Administrator
2018 – 2024- Installation, management, administration, support, and maintenance of machines and services in the DPSS cluster.
Teaching Assistant
2021 – 2022
Publications
Preprints, conference, journal, workshop, and national conference publications.
Accomplishments
Organization of ENSD
- Organization of the 1º edition of the National Meeting of Distributed Systems (Évora, Portugal). Developed the conference website alongside Rafael Soares.
Awards
- Granted twice the incentive award for scientific productivity, from INESC-ID.
- Granted the academic merit student award in 2017 and 2019, from IST.
Education
Ph.D. Computer Science and Engineering
2019 – 2024- Instituto Superior Técnico, Pass with Distinction
- Co-advised by Prof. Luís Rodrigues and Prof. Miguel Correia. Thesis title: Low-Latency Privacy-Preserving Access to Edge Storage
- Proficient experience in conducting research at the highest and most competitive level (rank A* and Q1), resulting in significant contributions to cryptographic protocols that ensure privacy, storage proofs, and trust for edge environments.
M.Sc. Computer Science and Engineering
2017 – 2019- Instituto Superior Técnico, final course average: 17
- Distributed Systems specialization: knowledge of fundamental paradigms in large-scale distributed systems, both in scalability limitation and byzantine consensus protocols, in multiple environments such as Cloud, Fog, and Edge computing.
- Intelligent Robotics specialization: A highly intriguing experience working with deep neural networks, reinforcement learning, fuzzy systems, and programming autonomous robots.
B.Sc. Computer Science and Engineering
2014 – 2017- Instituto Superior Técnico, final course average: 15
- Relevant Coursework: Object-Oriented Programming; Artificial Intelligence; Operating Systems; Databases; Computer Networks; Analysis and Synthesis of Algorithms; Cybersecurity.
Contact
Location
Lisbon, Portugal
claudiojpcorreia@gmail.com