Consumer Electronics
Apple Vision Pro Display (AR/VR)
As part of the Vision Pro team, I contribute to developing the world's highest-resolution displays, pushing the boundaries of innovation to create the most immersive mixed-reality (MR) experiences. Our mission is to refine cutting-edge technology and explore groundbreaking ideas in the field of micro-displays to deliver unparalleled visual performance.
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As an Optical Engineer, I focus on developing end-to-end simulation pipelines and collaborating with vendors on initiatives such as RFIs and NTIs. Additionally, I am actively exploring advancements in artificial intelligence to enhance key display metrics like uniformity and clarity. These efforts aim to ensure an extraordinary visual experience that defines the future of MR technology.
iPhone 14 OLED Display
They say the display is the soul of a phone, where customers truly experience and connect with its essence. Rightfully so, as we strive to optimize every detail to deliver a "Wow" moment whenever you visit an Apple Store.
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As an Optical R&D Engineer, I contributed to the development of the iPhone 14 Pro Max's OLED display, ensuring a captivating front-of-screen experience that reflects Apple's commitment to excellence.
My work involved designing and refining the display architecture to achieve outstanding color accuracy, display calibration/validation, and enhanced performance of the TFT and OLED stack.
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A key highlight of my role was validating the appearance of groundbreaking "Dynamic Island" feature on the display, introduced for the first time in the iPhone lineup. I also played an integral part in the technology bring-up phase and spearheaded advanced metrology techniques to characterize OLED displays more effectively. Through these efforts, I helped shape a display experience that leaves a lasting impression on every customer.
AI/ML in Hardware
Wearable AI
I am actively exploring incubation projects that integrate computer vision into wearable AI, inspired by devices like Meta's Ray-Ban glasses. My focus is on developing low-latency, lightweight AI models, including SLMs, to deliver highly accurate contextual responses to multimodal user commands. This work aims to push the boundaries of wearable technology, making it more responsive, intuitive, and seamlessly integrated into daily life.
AI and Nanophotonics
This project explores the intersection of artificial intelligence and nanophotonics to revolutionize the design of photonic architectures with enhanced functionality. By leveraging advancements in deep learning, we aim to overcome the limitations of conventional design methods, such as gradient descent and genetic algorithms, which are computationally expensive and time-intensive. Our research focuses on utilizing AI to optimize nanophotonic structures, enabling innovative applications like photonic beam engineering and the design of topological states. This approach not only accelerates the design process but also opens up new possibilities for creating complex, high-performance nanophotonic devices that are otherwise challenging to achieve through traditional methods.
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If you need more details, please visit my Google Scholar profile to find the relevant publication
Robotics
I have always been passionate about hands-on robotics, exploring various projects using NVIDIA Jetson boards to integrate sensors and cameras for deploying AI-driven perception systems. My work focuses on innovative edge computing models, particularly in the field of autonomous vehicles and other cutting-edge applications. I’m committed to pushing the boundaries of robotics and AI, continually exploring new ideas and technologies.
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I will continue to post various exciting projects as we continue to march closer to th world of Physical AI.
Silicon Photonics
Neurophotonic Probe for Deep-Brain Photoacoustic Imaging
This project focuses on developing a groundbreaking implantable neurophotonic probe for deep brain photoacoustic imaging. By leveraging the synergy between optical and ultrasound technologies, the probe aims to achieve high spatio-temporal resolution and deep tissue penetration for functional brain imaging. The design integrates miniaturized light sources and ultrasound detectors onto a silicon photonics-based neural probe, enabling precise and scalable imaging of neural activity. Utilizing advanced modeling tools like NIRFAST and k-wave, the probe's architecture is optimized for superior resolution, field of view, and image quality. This innovation has the potential to revolutionize neuroscience research by providing real-time, in-depth insights into brain functionality with unmatched precision and scalability.
Microphotonic Aerosol Spectrometer
This project focuses on developing innovative integrated photonic sensors for real-time physicochemical characterization of nano and micron-sized aerosol particles. Utilizing advanced photonic microstructures, such as micro ring resonators and spiral waveguides, the sensors operate in the Near-IR and Mid-IR spectrum to achieve ultra-sensitive detection. These devices are designed to address critical challenges in aerosol analysis, including drug delivery optimization, environmental monitoring, and biomedical applications. By miniaturizing and integrating the sensing platform, our work enables precise measurement of aerosol properties, paving the way for cost-effective, scalable, and highly sensitive solutions for pharmaceutical, environmental, and industrial research.
Photonic Biosensors
This project focuses on creating innovative opto-fluidic sensors for chip-scale photonic blood coagulometry, addressing the urgent need for affordable and accessible medical diagnostics, particularly in low-resource settings. By integrating silicon photonics with microfluidics, we aim to develop point-of-care technologies that provide real-time, label-free detection with high sensitivity and precision. These sensors are designed to overcome the limitations of traditional diagnostic methods like ELISA, offering a scalable, cost-effective, and portable solution for healthcare. Our work is particularly relevant to the diagnostics of COVID-19, where hypercoagulation is closely linked to disease progression, ensuring equitable healthcare access across developed and developing nations.
