I am a recent graduate with a B.S. in Electrical and Computer Engineering from the University of Washington seeking full-time roles to gain hands-on experience in systems architecture, hardware, and software development, specifically in digital signal processing, machine learning, IoT and ECU firmware. Previously, I was a Systems Engineering Capstone Student at the PACCAR E-Truck Project, working on a capstone project to design and develop an electric retrofitted Class 7 Peterbilt 337 truck. My core competencies include systems engineering, software engineering, data engineering, and user interface design.In my previous experiences, I have led software development in a team that prototyped a real-time study space availability system, and co-founded a startup that is developing an AI app that can transcribe complex chords, melodies, and arrangements of different kinds of music. I have leveraged my skills in OpenCV, Adobe Creative Suite, Adobe XD, IoT firmware, backend software, deep learning, and market research to contribute to these projects. I am motivated by the opportunity to learn from industry mentors, collaborate with diverse and talented peers, and create impactful products that can benefit society. I believe that I can bring a unique perspective and experience to the team, as I have lived and studied in different countries and cultures, and speak three languages.
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Backend Software EngineerAeyesafeSeattle, Wa, Us -
Systems Engineering Capstone Student, E-Truck ProjectPaccar Jan 2024 - Jun 2024Seattle, Washington, United States- Currently in the systems definition and modelling team working to design and develop an electric retrofitted Class 7 Peterbilt 337 with guidance from PACCAR industry mentors- In the process of developing a working SysML model in PTC Windchill- Performed drive cycle analysis using the NREL FleetDNA data set using NREL DRIVE- Derived over 80 FMVSS/CFR compliant vehicle dynamics requirements for the electrical, controls and packaging teams -
Software Engineering LeadUniversity Of Washington Sep 2023 - Dec 2023Seattle, Washington, United States- Led software development in a team tasked with designing and prototyping a real time study space availability system with guidance from industry mentors from Meta and AMD- Developed IoT firmware for ESP32s and backend software that integrates ESP32s with a REST API hosted on an Nvidia Jetson Nano using the MQTT protocol and Flask- Optimized software which led to a 50% improvement in the update speed -
Co-Founder And Data EngineerHometwo Jun 2023 - Dec 2023- Co-founded a startup that is in the early ages of developing an AI app that can transcribe complex chords, melodies and arrangements of different kinds of music- Currently focused on developing a deep learning algorithm that can detect chords- Conduct market research, such as user interviews and surveys, to understand the needs of aspiring musicians worked with a team of machine learning engineers to develop key features of the app- Assisted in the efficient generation and management of audio data used to train the deep learning algorithm
Nicolas Sugandi Education Details
Frequently Asked Questions about Nicolas Sugandi
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Nicolas Sugandi works for Aeyesafe
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Nicolas Sugandi's current role is Backend Software Engineer.
What schools did Nicolas Sugandi attend?
Nicolas Sugandi attended University Of Washington.
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