Customer Service, Software Engineer, Data Engineer

Gino Ako II

Greater Chicagoland *********@*****.*** (219) 331–9240 LinkedIn GitHub

Embedded Engineer with end-to-end experience designing firmware, integrating sensors, and building IoT systems on STM32, ESP32, and Raspberry Pi platforms. Passionate about bridging hardware-software interfaces to build reliable, real-world systems. 4+ years’ experience in customer service and resolution conflict and 3+ years coding in C and Python. EDUCATION

Purdue University – B.S. in Computer Engineering, Concentration in Computer Systems West Lafayette, IN Coursework: Data Structures, OOP, Microprocessors, Embedded Systems, Computer Security & Networking, Intro to AI SKILLS

Programming: C / C++, Python (PyTorch, Pandas, Flask), JavaScript, HTML, CSS, Bash, Assembly, Verilog Hardware: Oscilloscope, Multimeter, LTSpice, Soldering, PCB Design (Novice), KiCad, Simulink, SolidWorks Embedded Systems: ESP32, STM32, Raspberry Pi, Arduino, FreeRTOS, LVGL, UART, SPI, I2C, PWM, Wi-Fi, Bluetooth Firmware & Tools: Git, Linux, REST API, Node.js, AWS (S3, Quicksight, E3) PROFESSIONAL EXPERIENCE

R&D Software Engineer (Embedded & Full Stack) – Intern May 2025 – August 2025 Midea America Research Center (Global Fortune 500) – CRC Electronics & Innovation Louisville, KY

• Co-developing ESP32 Wi-Fi provisioning and reconnect logic for OTA delivery, with NVS-stored credentials, AP fallback, and HTTP interface; streamlined onboarding and ensured firmware update reliability for smart appliances.

• Collaborating with 8-person cross-functional intern team (ME, CS, UX, Innovation) to ideate and develop a design innovation plan for next-gen kitchen ranges, integrating user insights and feasibility constraints across disciplines.

• Providing ongoing firmware support and system maintenance across 4 active projects spanning multiple teams R&D Embedded Firmware & Data Engineer – Intern May 2024 – Aug 2024 Midea America Research Center (Global Fortune 500) – Laundry Louisville, KY

• Refactored C++ firmware for Smart Dryer control logic; Cut energy use by 19% and drying time by 12%, meeting Energy Star standards and UL certification thresholds.

• Engineered Bluetooth-based washer-dryer communication (ARM MCU, ADC sensors), enabling dynamic cycle adjustments based on fabric type, moisture levels, and spin speed, improving efficiency.

• Improved AI-powered sentiment analysis pipeline (Python, OpenAI AP, BeautifulSoup, Selenium, AWS S3), managing 1M+ reviews, cleaning 18.97K+ data points, and delivering 95%+ accurate insights on products via AWS Quicksight & HeyMarvin AI. Improved security, data integrity, and web scraping time by 3 hours.

• Conducted competitive sentiment analysis across 8 top-selling washer models, to evaluate sensor accuracy, drying efficiency, and user experience; delivered a 12-page internal report that influenced current working prototype. PROJECTS

SHALL – Smart Home Adapter for LED Lights Jan 2025 – May 2025

• Led 4-person team to research & design an ESP32-S3 IoT adapter that converts standard RGB LED strips into Matter- compliant smart lighting, supporting control via Alexa, Google Home, and Apple HomeKit.

• Programmed ESP32-S3 to drive an ILI9341 TFT display using LVGL GUI over SPI, optimizing real-time feedback through RTOS-based task scheduling and memory tuning

• Built Node.js backend to fetch and parse Spotify playback data, synchronized LED color output with album artwork in real-time. Integrated Weather API to adjust ambient lighting based on location data.

• Implemented real-time audio-reactive lighting via ADC-connected microphone and FFT analysis, mapping environmental sound frequencies to LED brightness and color intensity

• Presented project at the 2025 Purdue Spark Challenge, engaging with industry professionals, faculty, and peers to showcase technical design & process, and demonstrate real-world situations for use IoT Motion Detection System Nov 2024 – Dec 2024

• Built ESP32-based motion detection system with under 2-second notification latency. Used MPU-6050 over I2C

• Integrated cloud alerts via ThingSpeak + IFTTT and Google Assistant voice control (Arm, Disarm) for a fully remote- enabled home security prototype.

Computer Networking & Communication Projects Aug 2024 – Nov 2024

• Designed and implemented a custom HTTP server and client in C using socket programming, supporting multi-format file transfers and ensuring compliance with standard HTTP protocols

• Developed a reliable TCP Reno-based transport protocol with sliding window control and congestion handling, significantly improving file transfer performance on unstable networks

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