Graduating May 2026

Edward Silva

BS Electrical Engineering @ Colorado School of Mines

Electrical Engineering senior at Colorado School of Mines, graduating May 2026. Focused on embedded systems and signal processing.

• Experience

Incoming

SpaceX • Bastrop, TX

Embedded Software: Customer Hardware, DSP applications.

Kratos Defense • Colorado Springs, CO • June - August 2025

Achieved 1.6x execution speedup by optimizing legacy DSP algorithms in C++ through code refactoring and performance analysis, reducing computational overhead for real-time signal processing applications.
Improved system throughput by developing and implementing SIMD-optimized mathematical algorithms using vectorized operations for parallel data processing.
Researched and demonstrated an improved approach to coding a FIR filter, presenting positive findings and performance gains to the team for adoption in future projects.
Reduced debugging time and improved system maintainability for development teams by designing and deploying a comprehensive logging framework with configurable severity levels and error tracking.

Jordan and Skala Engineers • Denver, CO • January - June 2025

Contributed to electrical design of 20+ multi-unit residential and specialty building developments, spanning initial takeoffs, layout design, riser diagrams, NEC verification, and QC review.
Developed proficiency in Autodesk Revit and MEP AutoCAD, strategically placing electrical receptacles, lighting, and circuits to ensure NEC compliance and practical, user-centered functionality.
Performed circuit loading and voltage drop calculations, balancing panel schedules and selecting appropriate breakers to ensure safety, reliability, and adherence to regulatory standards.
Utilized existing automation between Revit/CAD layouts and Excel tracking sheets to streamline design documentation processes and reduce manual errors.

Featured Project School Project

Fall 2025 - Spring 2026

MATLAB Arduino

Designed and validated an internal electromagnetic coil for an actively controlled magnetorheological (MR) fluid mountain bike damper, utilizing a 26-AWG copper coil and steel core operating at 10W and 2A to generate an estimated peak 0.15 Tesla magnetic field across a 2.5 mm radial gap
Modeled magnetic field strength and spatial geometry using the Biot-Savart law and complete elliptic integrals in Python, ensuring field lines oriented perpendicularly to fluid flow to maximize yield stress activation
Prototyped a dynamic C-based control system using an Arduino Nano R4 and dual BMI160 accelerometers to log and track sprung and unsprung fork kinematics, actively modulating coil current to optimize damping force during compression and mitigate continuous heat generation

Fall 2025 • School Project

MATLAB Simulink

Identified a nonlinear gantry-crane plant, linearized it with small-angle approximations, and designed a direct z-domain controller at 50 Hz that achieved 0% overshoot and a short settling time for a 1 m move while enforcing a maximum cart velocity of 1 m/s.
Validated robustness with frequency-domain analysis: measured 48 deg phase margin at crossover and estimated delay tolerance of about 0.5 s before marginal instability.

Extended the design in state space using LQR plus a full-order observer, then compared reference-scaling and integral-error augmentation controllers that delivered approximately 3.45-3.95 s settling, 0-9% overshoot, and negligible steady-state error under actuator saturation with anti-windup compensation.

Fall 2025 • School Project

MATLAB Simulink Python Arduino

Co-developed an autonomous maze-navigating robot within a 4-person team, integrating computer vision, embedded control, and I2C communication to achieve the second-fastest course completion time in the cohort.
Engineered the computer vision subsystem using Python and OpenCV with ArUco marker detection to extract real-time distance and angle metrics for navigation.

Designed a multithreaded vision pipeline processing 640x480 video feeds with HSV color masking to identify directional markers for pathfinding logic.
Interfaced the vision subsystem with motor control via I2C bus, transmitting telemetry data to an Arduino while updating a real-time RGB LCD display.

C++ Python MATLAB Java Verilog RISC-V Assembly Bash

Arduino Raspberry Pi Digital Circuits Embedded Systems Microcontrollers Circuit Design

VS Code Git/GitHub Linux Simulink Autodesk Revit MEP AutoCAD Eclipse SSH LaTeX Microsoft Office Suite Google Suite