Entry-level Computer Engineering Technology graduate with hands-on experience in embedded systems, circuit design, and software development. Eager to contribute to innovative projects in automation, control systems, or embedded hardware. Seeking a role where I can apply my academic training, technical aptitude, and strong problem-solving skills to real-world engineering challenges.
• Collaborated with Homeland Security to design and implement data-driven models and visual dashboards using statistical tools to identify trends in community safety and emergency response.
• Supported development of early warning and response protocols by translating raw data into actionable insights for system improvement recommendations.
• Applied structured data management techniques to digitize and streamline recordkeeping systems, improving data retrieval efficiency.
• Conducted technical presentations on data models and solution findings to interagency stakeholders, enhancing decision-making processes.
Programming & Scripting:
Python (Intermediate), C (Advanced), MATLAB/Simulink (Beginner), C (Basic), Bash (Basic)
Hardware & Electronics:
Arduino, Multimeters, Oscilloscopes, Function Generators, Digital Logic Design, Circuit Debugging, Basic Soldering, Breadboarding, Prototyping
Software & Design Tools:
AutoCAD, Adobe Creative Cloud (Illustrator, Photoshop), Multisim, LTSpice (Beginner), Packet Tracer, QuickBase
Networking & Protocols:
CCNA Fundamentals, LAN/WAN Concepts, IP Addressing/Subnetting, Basic Router/Switch Configuration, Network Troubleshooting, Wireshark (Introductory)
Version Control & Collaboration:
Git (Basic), GitHub (Basic), QuickBase, Microsoft Teams, Microsoft Office Suite (Excel, Word, PowerPoint)
Operating Systems & Tools:
Windows, Linux (Ubuntu – Command Line Basics), Terminal/Shell Commands, Task Automation (Batch Scripts, Basic Python Scripting)
Smartphone-Based Parkinson’s Disease Diagnostic Tool
- Designed a mobile health diagnostic prototype using embedded sensors and Python algorithms.,
- Collaborated with a cross-disciplinary research team to model and test sensor-based responses.,
- Resulted in a functional app prototype with potential to support early-stage Parkinson’s detection.
Digital Inventory System for U.S. Botanic Garden
- Designed a digital record management solution using QuickBase to track over 200+ sustainability-related products.,
- Enhanced team productivity by reducing manual data retrieval time by 40%.,
- Developed infographics and visual reports in Adobe Illustrator, improving stakeholder communication.
QUIKFIX for NAF Future Ready Lab Verizon-KPMG