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Lucas Cilento

@lucascilento

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M.Sc. software engineer specializing in infrastructure, backend, HPC, ML.

Brazil

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What I'm looking for

I seek roles where I can build and operate production-grade infrastructure and ML/backend systems, work on technically challenging problems, collaborate with research or engineering teams, and apply HPC and hardware-acceleration expertise to deliver reliable, high-performance solutions.

I am a software and infrastructure engineer with an M.Sc. from the University of Sao Paulo, experienced in delivering production-grade backend and ML systems for technically demanding applied research contexts. I have built and operated containerized self-hosted platforms, ERP integration services, and production ML pipelines integrated into industrial AI platforms, collaborating with Shell and Petrobras and publishing results at national conferences.

My background spans high-performance computing and hardware acceleration—developing and optimizing kernels for CPU, GPU, and FPGA—and production-oriented ML engineering for real-time monitoring and prediction. I thrive in complex environments without an obvious playbook, combining strong systems fundamentals (Linux, containers, networking) with hands-on backend, automation, and deployment experience.

Experience

Work history, roles, and key accomplishments

MSc Researcher

Escola Politecnica, USP

Mar 2023 - Mar 2026 (3 years)

Researched domain-specific FPGA accelerators for acoustic wave propagation stencil computation, achieving GPU-competitive performance and improved energy efficiency; supervised and supported undergraduate students in digital design labs.

HLS FPGA Design Research Supervision CUDA Accelerated Computing HPC ASIC CPU FPGA Offloading Embedded Systems Linux Hardware Engineering

ML Engineer / Research Software Engineer

Petrobras

Mar 2023 - Mar 2024 (1 year)

Developed production ML pipelines for structural fault detection processing 490,000+ labeled events from 7,000+ simulations and integrated models into a cloud industrial AI platform for real-time deployment and monitoring.

Python Keras TensorFlow REST APIs Data Pipelines Machine Learning Artificial Intelligence Oil & Gas Digital Twin Applications Fault Detection Signals Model Training Model Evaluation Model Fine Tuning Model Monitoring

HPC Research Engineer

Shell

Jul 2021 - Dec 2022 (1 year 5 months)

Benchmarked and optimized seismic wave simulation kernels across CPU, GPU, and FPGA (Xeon, V100, Arria 10), delivering actionable performance results that informed large-scale seismic inversion architecture decisions.

SYCL DPC++FPGA GPU Computing Performance Profiling Benchmarking Intel DevCloud Parallelism Tiling Strategies Oil & Gas HPC

Education

Degrees, certifications, and relevant coursework

Escola Politécnica, University of São Paulo

Master of Science, Computer Engineering

2023 - 2026

Grade: 3.4

Activities and societies: Thesis research on FPGA accelerators; monitored and supported undergraduate digital design labs (PCS3225).

M.Sc. in Electrical Engineering (Computer Engineering) focusing on FPGA-based domain-specific accelerators for seismic imaging, conducted in partnership with Shell and Petrobras.