- 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.
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
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.
ePower Hubs Research Lab Golden, CO June 2024 - January 2025
- Independently conducted literature reviews on sensor systems and wind farm-level control strategies, focusing on offshore integration with variable voltage, power, and frequency constraints.
- Synthesized findings into multiple internal reports using LaTeX, contributing to cost-reduction strategies in wind farm grid maintenance, design, and power grid integration.
- Provided insights that influenced the direction of ongoing research led by a faculty advisor, shaping the lab's approach to offshore wind system modeling.
• Projects
Featured Project
School Project
Senior Design: Electromagnetic Bicycle Damper
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 up to 5.8 kPa
- 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.
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- 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, implementing ChArUco camera calibration and ArUco marker detection to extract precise real-time distance (m) and angle (deg) metrics from 2D pixel coordinates using intrinsic camera matrices.
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- Designed a multithreaded vision pipeline to asynchronously process 640x480 video feeds, applying HSV color masking and dynamically generating Regions of Interest (ROIs) to robustly identify red and green directional arrows for pathfinding logic.
- Interfaced the vision processing unit with the motor control subsystem via an I2C bus, continuously transmitting packed structural telemetry (angle, distance, and directional flags) to an Arduino while maintaining a concurrent I2C connection to update a local RGB LCD display.
• Skills
Programming
C++ Python MATLAB Java Verilog RISC-V Assembly Bash
Hardware
Arduino Raspberry Pi Digital Circuits Embedded Systems Microcontrollers Circuit Design
Software
VS Code Git/GitHub Linux Simulink Autodesk Revit MEP AutoCAD Eclipse SSH LaTeX Microsoft Office Suite Google Suite