Embedded Systems Engineer and Researcher (RF/ML)

Henrique da Silva

*******@**.** github.com/shapis Legal Permanent Resident +1-747-***-****

Education

Federal University of Pernambuco (UFPE) – BS in Electronics Engineering Sep 2025 Skills

Programming: C#, Dart, Java, Python, C, Rust, VHDL, Verilog, AHDL Platforms and Tools: LTspice, KiCad, Quartus (FPGA), RTL-SDR, Raspberry Pi, Arduino, Unity3D, Git, Linux Technical Skills: Analog Circuit Analysis, PCB Design, Laboratory Hardware Validation and Debugging Experience

Internship, Laboratory of Automation and Systems Modeling – Recife, Brazil Feb 2025 – Feb 2026

• Reviewed and replicated methodologies from two peer-reviewed papers on deep learning for physical-layer communications to validate reported results (article 1, article 2)

• Implemented autoencoder-based and end-to-end learning signal-processing pipelines, comparing theoretical models with experimentally captured data

• Developed Python-based DSP pipelines for neural network signal decoding and compared results with simulated channel models

• Identified and resolved discrepancies between simulated channel models and experimentally captured RF IQ data by refining preprocessing, synchronization, and model evaluation workflows Projects

Capstone Project — Drvx Partition Scanner github.com/shapis/drvx

• Designed and implemented a Linux-based antivirus scanning tool that enumerates disks and partitions, recursively scanning files and matching hashes against a malware signature database

• Built a self-contained command-line utility supporting partition- and disk-level scans, file-type filtering, depth limits, and exportable results for use in live and recovery environments

• Optimized deployment by producing a single-file Linux binary and flashable ISO, enabling offline malware scanning without external runtime dependencies

Embedded Systems Project — DEC github.com/shapis/distributed_environment_control

• Designed Raspberry Pi embedded control system for environmental sensor data acquisition and real-time HVAC feedback control using hardware interfacing and distributed communication

• Implemented distributed communication using the MQTT protocol to coordinate sensor data processing and enable transistor-based GPIO control of the HVAC system

• Integrated hardware interfacing, sensor acquisition, and control logic to enable automated temperature regulation based on real-time measurements

FPGA Project — Verilog, I2C, VGA github.com/shapis/ufpe_ee

• Designed an FPGA digital system in Verilog integrating IR decoding and audio signal generation using finite state machines, coordinating synchronous logic for reliable signal interpretation and waveform output

• Implemented I2C communication in Verilog to interface with an LM75A temperature sensor and acquire real-time temperature measurements

• Structured a VGA controller to display live system data, generating synchronized horizontal and vertical timing signals for stable on-screen visualization

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