Hi, I'm Reeve Fernandes

Computer Engineering Student & Research Assistant

Building innovative solutions through embedded systems, FPGA design, and full-stack development. Currently advancing audio localization research at Michigan State University.

About Me

Computer Engineering student at Michigan State University, graduating in May 2025. I bridge the gap between software and hardware development through hands-on experience and research.

My passion lies in creating innovative solutions that span from embedded systems and FPGA design to full-stack web applications. Currently working as a Research Assistant in the Networked Embedded & Wireless Systems Lab, I bring a unique perspective to every project through hardware-software integration.

With experience in neural network acceleration, drone systems, and real-time applications, I enjoy tackling complex engineering challenges. When I'm not coding or designing circuits, you'll find me exploring the latest technologies or mentoring fellow engineers.

Reeve Fernandes

Languages

  • Python
  • C/C++
  • TypeScript/JavaScript
  • HTML/CSS
  • MATLAB
  • Verilog/VHDL
  • SystemVerilog

Frameworks & Tools

  • React/Next.js
  • Node.js
  • Three.js
  • Material-UI
  • Tailwind CSS
  • GraphQL
  • Git
  • VS Code

Hardware & Systems

  • FPGA (Altera/Intel)
  • Raspberry Pi
  • Arduino
  • Quartus Prime
  • ModelSim
  • Embedded Linux
  • PCB Design
  • Signal Processing

Databases & Cloud

  • PostgreSQL
  • MongoDB
  • Redis
  • Prisma ORM
  • AWS
  • Vercel
  • SQL

Experience

Nov. 2024 – Present

Research Assistant

Networked Embedded & Wireless Systems Lab - MSU

Optimizing triangulation calculations for a Raspberry Pi-based audio localization system by fine-tuning algorithms and conducting extensive validation. Implementing efficient data workflows and conducting detailed analysis using Python's NumPy, Pandas, and Matplotlib to identify system weaknesses and improve performance.

Raspberry Pi Audio Processing Python AWS Linux
Jun. 2024 – Present

Full-stack Developer

Food Service Containers

Developed a complete online ordering portal to replace phone-based system, enabling customers to browse products, manage carts, and place orders digitally. Implemented secure authentication, admin controls, and product management using React, Next.js, NextAuth.js, PostgreSQL, and Prisma ORM.

React Next.js PostgreSQL Prisma NextAuth.js
Jun. 2024 – Present

Front-end Developer

ScoutNXT - AI Sales Product

Collaborated closely with clients to understand requirements and preferences, following design ethics and iterative processes to develop responsive front-end interfaces. Delivered visually appealing and user-friendly websites that enhanced client online presence and engagement using modern web technologies.

Figma React Responsive Design UI/UX
May 2022 – Aug. 2023

Hardware Developer

GENISAMA - AI Company Inspired by Brains

Gained foundational expertise in Altera FPGA systems through Quartus projects and developed testbenches with timing diagram simulations on ModelSim. Explored Verilog/VHDL modules for video processing pipelines on FPGA platforms including HDMI 1.4b output integration and MIPI CSI-2/CCS camera interfacing.

FPGA Verilog SystemVerilog Quartus ModelSim
Oct. 2021 – Present

Student Tech

CREATE for STEM - MSU Research Group

Assessed and troubleshot computer issues for faculty and staff, providing timely solutions and reducing downtime. Maintained and updated the website, computers, research equipment, and inventory, leading to a 35% improvement in system reliability and enhanced user satisfaction.

CMS Drupal PHP MariaDB System Admin
May 2022 – Aug. 2023

Resident Assistant

MSU Housing

Led over 10 community-building events, enhancing resident engagement by 40% through clear and persuasive communication. Mediated conflicts among 15+ residents with a 90% resolution rate, utilizing effective verbal negotiation techniques and authored detailed incident reports improving tracking accuracy by 30%.

Leadership Communication Conflict Resolution Event Planning

Featured Projects

Aerial Drone for Structural Health Management

Designed a customized sensor system for UAVs enabling nondestructive evaluation through advanced data collection and analysis. Integrated GPS, infrared, and camera systems with multi-threaded code for real-time data acquisition and utilized photogrammetry software like Meshroom for 3D structural damage reconstruction.

UAV Systems Computer Vision Photogrammetry Multi-threading

Neural Network Visualizer

Engineered a custom parser for creating and training Multi-Layer Perceptrons in TypeScript and Next.js. Developed interactive data visualization UI using D3.js and efficient tensor manipulation, achieving 50% increase in computational efficiency and providing real-time visual feedback on neural network operations.

TypeScript Next.js D3.js Machine Learning

Reddit Clone

Architected and developed a full-stack Reddit clone using React, TypeScript, and Next.js for the frontend with GraphQL API and PostgreSQL/MikroORM for efficient data management. Implemented caching mechanisms with Redis and achieved 40% reduction in load times with increased user engagement.

React GraphQL PostgreSQL Redis

Stock Price Prediction with Optiver

Developed and compared Tree-based models (Gradient Boosting, LightGBM) and Neural Networks (FFNN, LSTM) to evaluate model accuracy. Conducted feature selection with the best-performing model to enhance predictive accuracy and reduce complexity using Optiver's financial dataset.

Python TensorFlow LightGBM Financial ML

Magnetic Linear Sensor

Created a high-precision magnetic linear sensor measuring device using AS5311 Magnetic Linear Sensor with Arduino Uno and OLED Display via I2C protocol. Detected minute changes in magnetic field and converted pulses into normalized measurements, prototyped for MSU's Engineering College.

Arduino C# I2C Protocol Sensor Integration

SignLink - ASL Video Conferencing

Developed an ASL video conferencing solution facilitating real-time transcription of hand gestures, improving communication for the deaf community. Integrated real-time transcription leveraging MediaPipe's hand gesture recognition and TensorFlow's machine learning models for accurate gesture interpretation.

JavaScript MediaPipe TensorFlow Peer.js

Get In Touch

Let's Work Together

I'm always interested in new opportunities and exciting projects. Whether you need help with embedded systems, FPGA development, or full-stack applications, let's discuss how we can bring your ideas to life.