Mars Lee Email & Phone Number

California, United States

Mountain View, Ca, Us

Project Starline: https://www.youtube.com/watch?v=J1oEWiUsKgU

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.

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.

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.

Master'S Degree, Computer Science

Master'S Degree, Computer Science