Experienced software engineering leader with a strong background in augmented and virtual reality, computer vision, artificial intelligence, and embedded devices. Proven track record in developing cutting-edge solutions in AR/VR, firmware, and system software.
Experience
2024 — Now
2024 — Now
New York, New York, United States
2024 — 2024
2024 — 2024
• Managed team of 6 engineers, driving the successful bring-up of display hardware on Qualcomm platforms running AOSP. Guided complex Linux kernel and device tree development and real-time firmware running on custom display SoC.
• Led display software innovations by directing the integration of new features into Qualcomm's display software stack including enablement of DisplayPort over USB.
• Improved software reliability by spearheading new testing efforts leveraging GTest, PyTorch, and OpenCV, reducing bugs and accelerating development.
2019 — 2024
2019 — 2024
• -- Power Management Software Lead ---
• Lead the end-to-end development of Standby/Sleep features, coordinating efforts across 16+ cross-
functional teams, including kernel/OS, AR algorithms, Android/Unity, Product, and testing teams.
• Achieved critical battery life goals by leading efforts and developing software to extend device
runtime significantly to meet the essential "full work day" requirement for commercial use.
• Optimized power state transitions by architecting and implementing kernel-level synchronization
code, reducing power state transition times by 50% through precise coordination between hardware
components (display, cameras, DSPs), userspace services, and algorithms.
• Developed core power management service and external-facing APIs to synchronize Android host
processor states, sensor streams, DSP workloads, and networking, ensuring seamless power
management across the system.
• -- Sensor Core Framework and Driver Development ---
• Developed real-time, mission-critical driver for industry-leading time-of-flight depth camera. Leveraged advanced hardware features to create innovative, low-latency depth sensing modes,
enabling data capture for complex AR use cases.
• Developed comprehensive BSP and factory test commands for a range of sensors, including depth
camera, altimeter, ambient light sensor, status LED, and RGB camera.
• Wrote and maintained a thermal sensor management service, monitoring 18 thermistors across the
device. This service played a crucial role in safety regulatory testing and device stability.
• Provided robust support to internal algorithm teams (World Reconstruction, Hand Tracking,
Headpose) by developing core sensor framework infrastructure and APIs in AOSP and Linux
userspace. These tools managed sensor states, configuration controls, and delivered formatted,
validated data for algo consumption.
2023 — 2024
2023 — 2024
aetherform.ai
Real Estate VR
• Created an interactive real estate VR application. Leveraged state-of-the-art 360 video cameras and ambisonic microphone technology, post-processed using Adobe tools, and integrated with game
mechanics in the Unity engine to deliver an immersive virtual showing experience.
• Programmed all game code and VR mechanics in Unity, utilizing key SDKs such as OpenXR, Oculus Integration, Meta XR Audio, Cesium, and ChatGPT. The application is optimized for and runs on Quest 2 and Quest 3 devices.
2015 — 2019
2015 — 2019
Plantation, FL
• Created and integrated BSP and factory test commands for IMU, ALS, altimeter, RGB camera, and touch screen panel, achieving tight integration with AOSP, Qualcomm sensor frameworks, Linux kernel, Android HAL, and bootloaders.
• Provided BSP integration in the Linux device tree and kernel, managing sensors and audio I/O channels. Made product-specific modifications to the Primary and Secondary Android bootloaders to meet project requirements.
• Led the adoption of a new factory SW approach by leveraging existing AOSP and Qualcomm framework, reducing development time, complexity, and maintenance.
• Served as the software lead during a cross-functional team trip to the Sanmina factory in Malaysia bringing up Public Safety Body Worn Camera. Developed manufacturing test software and guided factory test engineers on setting up new test stations.
• Collaborated with the team to significantly increase factory yield, boosting throughput by 40% to achieve 500 units per day, surpassing the company's target of 400 units per day.
Education
Georgia Institute of Technology
Masters
University of Florida