# Keru Fu

> New Graduate

Location: Brooklyn, New York, United States
Profile: https://flows.cv/keru

Keru FU is a Software Engineer. He is experienced in Python, Kotlin, and also have project experience in C++ and JS. He is experienced in machine learning and DSP and can learn new knowledge and skill in short time. During his last job, he learnt React Native, Android development due to understaffing and become productive in short time. He also implemented a Python API for Amazon Alexa because existing one is outdated. Besides development, He is responsible to negotiate with outsourcing team and prepare and integrate their work to internal code base

## Work Experience
### Software Engineer @ Zoetic AI
Jan 2019 – Present | California, United States
	Kiki (Social robot) perception
 
	Face detection, tracing, recognition and expression recognition
	Body detection and tracking
	Keyword detection
	Music detection and recognition
	Hand detection and tracking
	Object recognition
	Noise calibration
	Sound direction detection
	Touch detection and recognition
	IMU event detection, e.g. pick up, put down
	Remote photoplethysmography
	Integrate Amazon Alexa into Kiki
 
	Kiki’s migration from Debian to Android
 
	Migrate Kiki perceptions to new platform
	Improve Kiki peripheral board firmware
	Negotiate and co-work with Kiki main board firmware team
 
	React Native App Development
 
	BLE connection to peripheral devices
	File browser integration
	UI design for peripheral devices usage and information collection
	Face detection, text detection and barcode detection
	Map integration
	Build medical consultation chatbot with Infermedica API
	Implement recording process working together with face recognition

### Research Assistant Intern @ Shanghai Sansi Technology Co., Ltd.
Jan 2015 – Jan 2015 | Shanghai City, China
	Join the SmartHome development group in the 3rd R&D Department
	Study IoT
	Work on indoor positioning and communication protocol, especially iBeacon
	Study technical reports of iBeacon
	Implement iBeacon in Raspberry Pi and Bluetooth LE slave module
	Work on parameter adjustment
	Evaluate stability, working range and power consumption


## Education
### Master's degree in Computer Engineering
NYU Tandon School of Engineering

### Bachelor's degree in Electronic Information Engineering, Marketing
The Hong Kong Polytechnic University


## Contact & Social
- LinkedIn: https://linkedin.com/in/keru-fu-210a6a133

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Source: https://flows.cv/keru
JSON Resume: https://flows.cv/keru/resume.json
Last updated: 2026-03-29