Mars Lee

Mars Lee Email and Phone Number

Manager of Engineering on Project Starline (Google Beam) @ Google
California, United States
Mars Lee's Location
San Francisco Bay Area, United States, United States
Mars Lee's Contact Details
About Mars Lee

Hands-on, passionate, experienced and innovative software product research/development leader on both technical and managerial areas, with communicative competence. As both solution provider and problem solver, with proven track record:• Deliver mission-oriented, sophisticated, high-quality, diverse, full-stack and large-scale products/solutions in several software domains like embedded, mobile, cloud, (on-device) machine learning, etc.• As manager of managers, have rich experience managing teams across multiple countries, at large organizations (like public companies or research labs), as well as leading lean start-ups with tight resource constraints.• With proven history for each job, always act as a fast learner in picking up new knowledge/technologies of each era, when innovation takes place every day in industry.• Grow several teams from zero in various countries. Ship user-facing products from scratch (or research projects).Have rich experience in software product research & development, for following areas:• Hands-on Technical Team/People/Product Management: as first-line/2nd-level/middle-layer manager or lead, to oversee teams and people inside/outside U.S.• Software Development/Architecture & System Analysis/Design: for full-stack/large-scale software system/product development• Algorithms R&D: machine learning, sensor fusion, signal/image processing, etc.With strong expertise of software architecture/development & system analysis/design, listed as below:• Smart Home, AI (Artificial Intelligence), Machine Learning, Data Analysis/Mining/Security, Sensor Fusion, Signal/Image Processing, Motion Tracking, CV (Computer Vision), Database, VR/HMD Platform, etc.• Cloud/Mobile/IoT/Robotics/Automotive/Wearable Solution, Large-Scale Database/Sensor/Imaging/Location/Audio Software Platform & Back-end/Multi-Threaded/Distributed System• Linux Kernel/Driver/System & Android Framework/Service/HAL/NDK/SDK/PDK/application etc.• Embedded System/RTOS/Driver/Linux/application & ARM-based SoC/Firmware/MCU/Hub Framework• Middleware Software & Android Sensor Hub (for example: Google CHRE platform) & Windows UMDF/KMDF• Programming Language/Framework: C/C++, Java/JNI, SQL, Python, Hadoop, AWS (Amazon Web Services), GCP (Google Cloud Platform), React, TypeScript, Perl, C#, .NET, Assembly, etc.

Mars Lee's Current Company Details
Google

Google

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Manager of Engineering on Project Starline (Google Beam)
California, United States
Website:
goo.gle/3DLEokh
Employees:
315106
Company phone:
916.253.7820
Mars Lee Work Experience Details
  • Google
    Manager Of Engineering On Project Starline (Google Beam)
    Google
    California, United States
  • Google
    Manager Of Engineering On Project Starline
    Google Jun 2023 - Present
    Mountain View, Ca, Us
    Project Starline: https://www.youtube.com/watch?v=J1oEWiUsKgU
  • Google
    Manager - Engineering (Manager Of Managers) At Verily / Google Life Sciences
    Google Jun 2020 - Jun 2023
    Mountain View, Ca, Us
    As hands-on/technical team manager (of managers),• Lead 3 growing software R&D teams for 3 product/research functional areas: machine learning (like computer vision, image processing, algorithms), backend/cloud/service/imaging/full-stack/web, and system/device/embedded/camera/frontend/application• In charge of 16+ direct/indirect reports (including 2 team managers, 3 product tech leads & 1 TPM), upcoming new hires, multiple openings and dotted-lined reports/interns, across states of CA, MA and NY.With hands-on work done when needed, from 0 to 1, responsible for proposing/leading/architecting/developing IoT-based AI medical products (like "retinal cameras and services" https://verily.com/solutions/retinal-camera-service/). The responsibilities include (but not limited to):• machine learning application & pipeline including annotation, training, modeling, feedback loop etc., for artificial intelligence diagnostics• backend cloud services based on solutions like micro-services, pub/sub architecture, Kubernetes, Google Cloud (GCP/GCS), data analytics/warehouse etc.• end-to-end image ingestion platform from web/frontend/application/device to cloud/full-stack, including services like fleet management• full-stack GPU/TPU-based computer vision IoT total solution on top of on-device machine learning (ODML), image processing, Linux kernel/system/application, microcontrollers/firmware, nVida/CUDA/TensorFlow/TensorRT/ONNX etc.
  • Amazon Lab126
    Manager, Software Development
    Amazon Lab126 Jan 2019 - Jun 2020
    Sunnyvale, Ca, Us
    As hands-on/technical team manager:• Supervise 1 growing software team with 6 direct reports of developers. Per project needs, manage dotted-lined reports from 3 teams across states of CA/WA/TX.• Lead full-stack/large-scale software solutions across platform/system/Linux/Android/embedded/cloud/database/firmware areas for IoT, smart home and Alexa/Echo family products, that involve framework like Agile/Scrum and programming language of C/C++/Java/Python/SQL/AWS/Lambda etc.Responsible for overseeing/architecting/developing several cloud/embedded/system products, with hands-on development work done when needed. Deeply get involved in each project’s entire SDLC, like product definition with Marketing team, hardware design/verification with HW/OEM teams, validation process with QA team, etc. These products/projects/prototypes include:• Full-stack embedded software solution including embedded application/RTOS/framework/driver/firmware/bootloader etc. on various SoC platforms, for real-time/low-power IoT and smart home products smart thermostat/glasses/oven/ring/light, Amazon GO, robotics etc.• Turnkey device software solution including Android framework/service/HAL/NDK/SDK/PDK/application layers and (embedded) Linux system/kernel/drivers on various hardware platforms, for high-performance/high-speed products like automotive, Alexa/Echo family solution etc.• Distributed AWS data analysis & machine learning solution for large-scale datasets across various database sources (like Oracle/MySQL), with heterogeneous data of image/location/audio/sensor/video etc.- Core SDK/middleware/service of Android, embedded Linux, RTOS and backend AWS/cloud/database service system, for features like video/audio/imaging/MQTT/OTA/metrics/logging/connectivity/registration/Wi-Fi/Bluetooth, factory reset, mbed TLS, key-value store etc.
  • Tdk Invensense
    Director - Engineering (Manager Of Managers) & Sr. Software Engineer
    Tdk Invensense Jul 2008 - Jan 2019
    San Jose, Ca, Us
    As hands-on/technical middle-layer (both 1st-line/2nd-level) manager of managers,• Lead 2 growing software R&D teams, in both U.S./France.• In total, oversee 16+ direct/indirect reports of developers, including 1 team manager in France.Responsible for proposing/leading/architecting/developing system & embedded products, with hands-on work done when needed.• These products include full-stack solution of SoC/IoT/wearable/drone, virtual reality, head-mounted display, Android sensor hub, gyroscope/accelerometer/pressure/gas/ultrasound IMU, microphone etc.• Hands-on at database, backend, Linux, Android, kernel, RTOS, embedded, firmware, driver, assembly, DSP, Windows KMDF/UMDF and so on.• In charge of platforms for data analysis, machine learning, backend cloud service, sensor fusion, motion tracking, activity classifier, computer vision, location/navigation service, audio context etc.• Deeply involved in each project's entire SDLC: e.g., SW development process with Agile/Scrum etc., product definition with Marketing team, HW & FPGA design/verification with Hardware team, validation process with QA team, special customization with Algorithms/Customer teams and so on.By being solution provider with innovation/execution, design various SW prototypes to be adopted by corporate product line. And as go-to guy, creatively/effectively extend company standard products into customized solutions with unique features.• For example, before 1st smartphone in the market could do full motion tracking, as individual contributor & fast-learner, proposed/architected/developed full-stack solution of smartphone's 1st full motion tracking prototype on Android. This involved works of middleware software, Linux kernel/driver/system, and Android framework/service/HAL/NDK/SDK/application layers.• Joined the company as 1 of first 5 software team members, in 2008 when InvenSense was start-up. Then as both individual/team continuously contributed to company's growth, like IPO in 2011.

Mars Lee Skills

Software Architecture Data Mining Embedded Systems Linux Kernel C Java Embedded Software Programming Embedded Operating Systems Real Time Operating Systems Machine Learning Hadoop Firmware Development Android Framework Android Hal Linux Driver Development Android Development Android Sdk Soc Wearables Iot Mobile Phone Software Sensor Hub Virtual Reality Sensors Image Processing Start Ups Database Design Sql Data Warehouse Architecture Cloud Computing Big Data Oracle Database Pl/sql C++ C# Java Native Interface Python Perl Agile Methodologies Scrum Uml Kmdf Umdf Windows Driver Development Bioinformatics Arm Architecture Artificial Intelligence

Mars Lee Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Computer Science
  • National Chiao Tung University
    National Chiao Tung University
    Computer Science

Frequently Asked Questions about Mars Lee

What company does Mars Lee work for?

Mars Lee works for Google

What is Mars Lee's role at the current company?

Mars Lee's current role is Manager of Engineering on Project Starline (Google Beam).

What is Mars Lee's email address?

Mars Lee's email address is ma****@****126.com

What is Mars Lee's direct phone number?

Mars Lee's direct phone number is +140879*****

What schools did Mars Lee attend?

Mars Lee attended University Of California, Berkeley, National Chiao Tung University.

What skills is Mars Lee known for?

Mars Lee has skills like Software Architecture, Data Mining, Embedded Systems, Linux Kernel, C, Java, Embedded Software Programming, Embedded Operating Systems, Real Time Operating Systems, Machine Learning, Hadoop, Firmware Development.

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