Thank you for taking the time to view my resume! A lifetime of experience has given me a true love for
my chosen profession. I have been programming various computers since I was 13 years old. I started
on a Commodore PET in 1980. I then graduated to the TRS-80 and Apple II. At 16 years of age I took a
software engineering class from Boeing Computer Services (University of Puget Sound) working on an
HP mainframe. When I was 17 I created a point of sale inventory system for ‘Nature’s Arts, Inc.’ in
Seattle using a Commodore 64. So I think it is clear that software is in my DNA.
During my software engineering career I have had the pleasure of working for some of the most
exciting and dynamic companies on the planet. I have created all types of software from
embedded bootloaders to back-end server infrastructure systems to Windows desktop applications.
This diverse background has been instrumental in positively shaping my problem solving abilities.
I am currently seeking my next position. I live in San Diego and am open to opportunities anywhere in
Southern California. I am also very open to remote positions.
Thanks again for your interest in my background. I look forward to connecting and pursuing a long
lasting professional relationship!
Download links for Microsoft Word , Adobe PD F and LibreO;c e formats are available below:
Contact Information:
Andrew Loren Hanusch
(619) 793-9530
andrew@hanusch. email
Andrew L. Hanusch
Senior Software/Firmware Development Engineer
Andrew L. Hanusch
Senior Software/Firmware Development Engineer
619-793-9530 ● andrew@hanusch.email ● LinkedIn
Objective
For more than 30 years I have provided quality professional software and firmware engineering, development and
management services to many well-known California companies. I have successfully managed, built and deployed
several large-scale distributed applications, mobile applications and embedded firmware solutions that consistently
have had a positive impact on the financial success of my clients and employers. I am currently accepting direct or
contract software engineering positions that will effectively leverage my knowledge of computer science, my
advanced problem-solving abilities, and my extensive industry experience. I am highly motivated and am prepared
to make an immediate and positive contribution to any situation.
Skill Summary
Desktop/Server Operating Systems Linux (all types), Android, Windows (all types), OSX/MacOS
Embedded Operating Systems Linux, Android, ThreadX, FreeRTOS, VxWorks and bare metal (no os)
Programming Languages C/C++, Kotlin, Java, .NET (C# and VB), JavaScript, PHP and Python
Assembly Languages IA32, x64, Hexagon DSP (QDSP6), ARM and SMALI (Java Byte Code)
Web Application Technologies LAMP (Linux, Apache/NGINX, MySQL, PHP), JavaScript and HTML5
Cloud Platforms Amazon Web Services (AWS), Google and Azure Cloud Services
LinkedIn Skill Assessment Badges C, C++, Python and Linux
Professional Experience
Flock Group Inc. dba Flock Safety
From May 2024 to May 2025 as a Senior Development Engineer I lead the connectivity (LTE/NR, Wi-Fi and
Bluetooth) engineering team’s effort to build the next generation license plate reader for Flock Safety with
Linux/Android as the target OS. I was responsible for all (Linux/Android) connectivity device drivers, Android system
daemons, startup scripting and SE Linux rules.
I was responsible for adapting the reference Android Radio Interface Layer Daemon (rild) for LTE/NR network
connectivity control using Quectel modem modules. This effort included determining correct AT modem commands
for specific Quectel modems and message handling from the Android Telephony layer to provide signal strength,
statistical and configuration information to the company’s “Phone Home” Android application.
I also created and maintained the Subscriber Identity Module Daemon (simd). The simd monitors the insertion
status of the SIM card in the license plate reader device. The simd is responsible for switching between the external
physical SIM card and the internal eSIM module. The simd monitors the insertion status based on an GPIO interrupt
managed by the “sim-detect” device driver. The simd also allows selection from among the various installed provider
profiles on the eSIM module.
Additionally I maintained the modem parts of the “Phone Home” Android application to reflect changes to the rild.
This allowed installers to use the information as a site survey when determining device placement. The “Phone
Home” application’s information is also sent to the Flock Cloud back-end for viewing on the Flock Web Portal.
Radio Interface Layer Daemon and Subscriber Identity Module Daemon development was done using C and C++.
Phone Home application development was done using Kotlin.
Deer Management Systems, LLC dba Tactacam and Reveal Cellular Cameras
From September 2022 to May 2024 I led the embedded software engineering team at Deer Management Systems
(DMS). As a Senior Research and Development Engineer I led the company’s effort to build an internal engineering
team in order to reduce dependency on external vendors and maintain control of intellectual property.
I led the firmware development for DMS’s first security camera. The camera is based on the Ingenic T31 (MIPS
CPU) SoC and GC2064 image sensor. Main camera firmware was hosted on embedded Linux and implemented in
Andrew Loren Hanusch ● 619-793-9530 ● andrew@hanusch.email
C, C++ and bash scripting. The platform also contains an ARM MCU that controls GPIO interrupts from external
devices and external Bluetooth communications. The MCU firmware was implemented as a bare metal application.
The camera operation is activated by a PIR (passive infrared) motion sensor or button press. Upon activation the
camera captures images (JPEG) and/or video (MP4 encoded h.265), then uploads the results to AWS using a
Quectel Cellular module or a SiliconLabs WiFi radio. I led the team in image capture, AAC and MP4 encoding and
AWS functionality (S3 and MQTT communications). I was also solely responsible for the firmware optimization
effort. I improved the firmware/camera performance from capturing (and uploading to AWS) 1850 images per battery
charge to more than 5000 images. I also designed and created the end of line manufacturing tests for product
delivery.
I also worked with multiple external vendors to create the company’s first bird feeder camera using the Ingenic T31
SoC and the next generation of trail and security cameras using the Rockchip RV1106 SoC. I participated in the
initial hardware design efforts evaluating and recommending potential parts. I also provided reference firmware in an
effort to train the external engineers in multiple areas (image capture, MP4 encoding, communications (LTE, Wi-Fi,
Bluetooth) and AWS. I also led the internal hardware and firmware validation efforts.
I was also responsible for testing and validating new firmware releases provided by external vendors for the
company’s existing (1
st
and 2
nd
generation) trail cameras.
Google LLC [McAfee/Trellix] (Triple Crown Consulting, LLC)
From October 2021 to July 2022 I was a member of Google’s ‘Android SDK Research’ team (part of the Google
Play Protect project). At Google I was tasked with performing security analyses on Android SDKs. This effort
consisted of creating test/sample applications based on the SDK under review, de-compiling the resulting APK using
tools such as apktool and jadx (and Google’s internal proprietary tools), and then validating any security issues
discovered using Google’s static and dynamic analysis tools. The test applications were required to exercise as
much of the target SDK as possible. I was responsible for all aspects of application development. I performed all
application design, implementation, and testing. A complete development lifecycle was required to ensure that a true
analysis of the SDK could be performed. The SDKs reviewed included advertising, analytics, remote file access, a/b
testing, language translation, multiple Google Firebase SDKs and more. The test applications were created using
Android Studio and Java.
I also created a SMALI code instrumentation system of python scripts (targeting Linux and MacOS host platforms).
This system de-compiled the target APK, extracted the SMALI source code for the SDK, created a new SMALI
project, added debugging instrumentation as desired, compiled the project into a JAR artifact and then copied the
JAR file to the correct file system location for the original APK’s linking step. This instrumentation allowed dynamic
analysis of code coverage, call-stacks and various data dumps.
The Google Android SDK Research team project was completely remote. All coordination was accomplished using
Google tools.
Phase 3 Microsystems, LLC. (Independent Contractor)
From May 2017 to September 2021, May 2014 to December 2014 and January 2003 to May 2006 I provided IT
and software engineering consulting services to several small and medium sized West Coast companies. I was
responsible for the software development needs of our IT service clients. This included diverse projects such as
Android app development (Java), Android app reverse engineering and modification (smali), embedded real time
device drivers and controllers, OTA update daemons for embedded processors, C/C++/C# Windows desktop
applications, custom Android builds and various big data applications (C and Python). I have also managed several
data center build and remodel projects where I was responsible for all cabling, server conditioning and hardware
integration.
I also contributed to and managed several full stack LAMP projects. I provided both back-end (server side PHP
scripts) and front-end (browser based JavaScript apps) solutions for multiple web applications.
H4 Engineering, Inc. dba SoloShot (VIA Technical, LLC)
From January 2017 to September 2017 I was responsible for all low-level Linux embedded systems. I created a
custom secondary boot loader (SBL1) for the Qualcomm Snapdragon 410 SoC (msm8016) to initialize the SoloShot
base, load various (non-Linux specific) boot images and continue the boot process. The SBL1 was built on Ubuntu
Linux and cross-compiled for ARM using the ARM RVCT compiler suite. I implemented an ExFat kernel file system
driver for Linux Android and heavily modified the vold (Volume Daemon) to take advantage of multiple SD Card file
systems during auto-mounting. I also implemented an I2C Linux device driver for the Toshiba TC358743XBG HDMI
Andrew Loren Hanusch ● 619-793-9530 ● andrew@hanusch.email
to CSI (MIPI Camera Serial Interface) bridge chip. This included modifying the msm kernel audio subsystem to allow
the correct I2S audio format. I also modified the Little Kernel (apps bootloader) to initialize the QuickLogic BX5BxA
DSI (MIPI Display Serial Interface) to RGB bridge chip. I also created several Android Apps (Java and C++) for
testing of the above kernel device drivers.
Verifone Systems, Inc. (NESC Staffing, Inc.)
From June 2016 to December 2016 I provided bug fixes and functional enhancements for the company’s payment
agent software running on a variety of Verifone payment terminals. All target development was done for an
embedded security enhanced Linux based on the buildroot project. Development was done in C/C++ and cross-
compiled using GNU tools. I also provided HTML5 user interface bug fixes and enhancements (all Verifone payment
terminals use HTML5 for user interfaces).
Panasonic Avionics Corporation (MLS Technologies, Inc.)
From September 2015 to June 2016 I contributed to the company’s In-flight Entertainment system by creating the
Service Discovery and Event Server middle-ware applications. Together these applications allow a seat-back or
other passenger device to query for currently running services and then to be notified when any services change.
These applications were developed in C/C++ for Linux using a REST API and FastCGI through an NGINX server.
I also created a series of prototype/proof-of-concept apps for Android using JNI to provide fast access to binary files
containing media information. I created the Android user interface (Java), the JNI shared library (C/C++) and the
binary file format that allowed C structures to be serialized and deserialized directly without any additional parsing.
GoPro, Inc. (Vertisystem, Inc.)
From December 2014 to July 2015 I positively contributed to multiple projects. I provided several bug fixes and
user interface enhancements to GoPro’s Android and iOS camera control apps. I was also responsible for the
creation of a test framework used to validate the external (WiFi and Bluetooth) interfaces to several models of
GoPro cameras (including four new cameras currently in development). This included all aspects of camera control
as well as validating JPEG and MP4 creation and validating GoPro’s MPEG-2 live streaming protocol (live streaming
from camera to the GoPro mobile app). The test framework was compatible with Windows 7+, Mac OSX, and
Linux. All software was written in C/C++ and included the integration of the Python 3.x interpreter for easy test
creation/scripting.
Qualcomm, Inc. (RJT Compuquest, Inc. and Technology Locator, Inc.)
From February 2010 to May 2014 I created the Target Image Simulation Environment (TISE) that allows direct
testing of the audio, voice, video and sensor functions of the Hexagon DSP (QDSP6) in a Windows 7 desktop
environment. My software (running in the HLOS) provides the communication infrastructure (via shared memory)
required for DSP control. It also models several other CPU cores, external peripherals, ASIC functions and memory
buses that are present on the Qualcomm Snapdragon product line. My software is used internally by Qualcomm
developers and is also released externally to OEM and ISV customers (for use in development and testing of new
products). It is also distributed as part of the Hexagon SDK program.
I also provided direct technical support to OEM and ISV customers and bug fixes for the Qualcomm board support
package, audio, voice, video, and sensors teams. This support included all levels of JTAG and Trace32 training and
scripting as well as generic embedded software optimization in C and C++ for all customers on the Hexagon DSP
and Snapdragon SoC.
Also as part of the TISE project, I created a diagnostic tool that communicates directly with an Android or Windows
phone. This tool collects diagnostic and performance data from all CPU cores on a Snapdragon SoC via a USB
connection (Android) or via a TCP/IP connection (Windows and TISE). The diagnostic and performance data is then
displayed for human monitoring and logged for offline processing / analysis.
I also created a test framework for Qualcomm’s Hexagon DSP (QDSP6). The software consisted of command line
applications designed to run on the Linux Android platform. These applications exercised all audio and voice
functionalities of the Hexagon DSP in an HLOS agnostic way. I also created the Linux device drivers used to control
the audio and voice features of the Hexagon DSP (QDSP6) and an Android UI based test launcher app. The
Android app first discovered the capabilities of the device and then presented the user with a list of applicable tests.
The app then collected all test output and logged it for off-line processing. I maintained this app for the 8650 and
8660 versions of the Snapdragon SoC.
Andrew Loren Hanusch ● 619-793-9530 ● andrew@hanusch.email
From October 2008 to May 2009 I was responsible for the board level testing software for the company’s ASIC
testing equipment (radio interface simulation board). My software communicated directly with Qualcomm’s custom
hardware (for control) and with the test measurement equipment (for data acquisition). Device control and data
acquisition software was implemented using Visual C# (.NET) and C++.
From May 2008 to May 2009 I designed and implemented software to convert raw test output into human readable
Excel Spreadsheets. This included determining which units failed and which passed both the calibration and
validation testing phases and presenting performance information in a graph format. The spreadsheets were created
through COM Automation (IDispatch interface) with C++. User interfaces were created using C# (.NET).
From November 2007 to May 2008 I created control software for the company’s HSPA+ ASIC testing equipment.
The software communicated to test equipment via USB or Ethernet. It included a graphical user interface written in
C++. I also created the firmware for the FPGA controller board using Verilog.
From December 1997 to June 2000 I contributed to a miniature CDMA infrastructure project. I was responsible for
all network communications software. I created a distributed console I/O library for embedded applications using
TELNET. I built an NTP server (and client) that interfaced to a Brandywine GPS receiver (I created the embedded
VxWorks kernel driver for the Intel i960) providing real time of day information and synchronization (within 2 ms) on
the network. I developed a SIP Server for use in a VOIP application. I also developed a "Mobile Switch Controller" to
circuit switch voice traffic on a network. All software was required to run on Linux, Windows NT, Solaris and
VxWorks (embedded Intel i960 and TI DSPs). This project was funded by the Department of Defense.
From December 1997 to June 1998 I participated on a design and code review committee for a distributed
client/server cellular phone diagnostics utility suite. I was the lead Windows NT architect for the project’s design
phase. This project eventually became the Qualcomm Product Support Tool (QPST).
From June 1997 to December 1997 I worked on a cellular network-planning tool. I developed the GSM analysis
module for the existing Solaris product as well as a PostScript printer driver for the Solaris operating system. I also
co-wrote a Software Development Manual which outlined C++ coding standards and guidelines.
University of California at San Diego
From June 2001 to December 2001 I taught the Embedded Networking class in the UCSD Computer Engineering
department. The class explored all layers of the OSI model. Protocols covered included Ethernet, Bluetooth, ATM,
CDMA, GSM, HDLC, OC3, IP, TCP, UDP, SNMP and X10 (home appliance control). I also introduced basic
implementation issues for various embedded platforms. The course was part of the Embedded Certificate Program.
Education
Udacity Nanodegree in Deep Learning
Introduction to Deep Learning (Fall 2024)
Convolutional Neural Networks (Spring 2025)
Georgia Institute of Technology (Georgia Tech)
Various graduate courses in Computer Science [Machine Learning and Artificial Intelligence] (2020 to 2024)
University of Washington and National University
Bachelor of Science degree majoring in Computer Science (August 1999)
4.0 GPA in courses required for major. 3.96 GPA overall
Andrew Loren Hanusch ● 619-793-9530 ● andrew@hanusch.email
