Hardware Engineer & Researcher
Building next-generation optical sensing systems at Meta. PhD in Electrical Engineering with expertise in 2D materials, nanophotonics, and computational device modeling.
Bridging academic research and industry innovation in optical systems and semiconductor devices.
I'm a Hardware Engineer at Meta, where I work on image sensor validation for AR/VR devices. My work spans the full lifecycle from design validation to production testing, ensuring world-class image quality and sensor performance.
Previously, I was an Optical Sensing Hardware Engineer at Apple focused on ambient light sensor test and validation, and contributed to LED innovation at Lumileds, bringing deep expertise in photonics and semiconductor physics to cutting-edge product development. At Lumileds, I co-invented patents spanning microlens arrays, air-spaced optics, pcLED structures, and metalens-based optical designs.
I hold a PhD in Electrical Engineering from the University of Minnesota, where I worked under Prof. Tony Low on theoretical and computational studies of two-dimensional materials and nanophotonic devices. My research has been published in top journals including Nature Communications and Physical Review, with over 457 citations.
I received my BSc from Bangladesh University of Engineering and Technology (BUET) and was awarded the prestigious 3M Science and Technology Doctoral Fellowship during my graduate studies.
When I'm not working on sensors or simulations, you'll find me playing tennis, hiking trails, or experimenting with ukulele and violin.
Post-graduate industry experience spanning optical sensors, image sensors, and LED technology at leading technology companies.
Conducting validation efforts for image sensing systems in AR/VR hardware. Responsibilities include optical, electrical, and thermal validation of image sensors. Developing and executing test plans, analyzing sensor performance data, implementing test automation workflows, and collaborating with cross-functional teams to ensure image quality meets stringent standards for consumer AR/VR devices.
Meta Reality LabsFocused on ambient light sensor (ALS) test and validation for Apple's product lineup. Developed and executed test plans for optical sensor characterization, analyzed performance data, and collaborated with design teams to optimize sensor accuracy. Also contributed to display-related optical measurements and validation workflows.
Apple Inc.
Lumileds
Worked on advanced LED development and characterization at Lumileds, a global leader in lighting solutions. Focused on optimizing LED performance, efficiency, and reliability for automotive, mobile, and general illumination applications. Co-inventor on 5 patent applications spanning LED optics and metalens technology.
3M
Completed two summer internships at 3M's research division, contributing to materials science and device innovation projects. Work resulted in a patent application for drone-hosted construction defect remediation technology.
My PhD research at the University of Minnesota focused on theoretical and computational studies of two-dimensional materials and nanophotonic devices, supervised by Prof. Tony Low.
My work in graphene metasurfaces focused on electrically reconfigurable platforms that can tune phase and amplitude in real time for beam manipulation. I developed modeling and design workflows to link gate bias, surface response, and far-field control in one framework. This project established practical directions for active, multifunctional metasurface hardware.
An electrically controlled graphene reflectarray design that demonstrates dynamic beam steering and wavefront shaping through programmable phase modulation.
View PublicationThis project explored how band-structure engineering in layered materials can amplify and tune nonlinear optical behavior. I studied resonance-driven mechanisms that connect electronic transitions to strong frequency-conversion response. The outcome was a clearer path for designing compact nonlinear photonic components using 2D materials.
This paper shows that band nesting under resonant excitation can strongly enhance second-harmonic generation in layered 2D systems.
View PublicationThis work links tunable electronic structure to anisotropic hyperbolic dispersion and enhanced nonlinear optical response in two-dimensional materials.
View PublicationThis work investigated graphene plasmonics for molecular sensing by matching infrared resonances to chemical fingerprints. The research emphasized label-free detection strategies with high sensitivity enabled by strong near-field confinement. These studies demonstrated how tunable plasmonic platforms can support compact and selective gas sensing.
A label-free sensing approach that uses graphene plasmon resonances to detect and identify gases through their infrared fingerprint signatures.
View PublicationThis study shows how localized nanoribbon plasmons increase light-matter interaction to improve compact gas sensor sensitivity and selectivity.
View PublicationDuring my undergraduate research at BUET, I modeled III-V quantum-well transistor behavior using quantum ballistic simulation methods. I analyzed transport and capacitance-voltage trends to evaluate scaling potential for high-performance logic devices. This work built my early foundation in device physics and computational modeling.
A quantum ballistic modeling study of InGaAs/InAs quantum-well MOSFETs that characterizes transport and C-V behavior for next-generation scaling.
View Publication View PublicationSelected technical certifications from my resume that complement my work in optics, sensing, and photonics.
UC Irvine Division of Continuing Education certification, currently ongoing. Courses completed so far:
UBC's Phot1x on edX — the first online course covering the full design-fabricate-test cycle for silicon photonic ICs. I designed 7 imbalanced Mach-Zehnder interferometer (MZI) circuits using the SiEPIC PDK in KLayout, simulated mode profiles and circuit transfer functions in Lumerical MODE and Interconnect, and submitted the layout for fabrication via the Applied Nanotools NanoSOI EBeam process (220 nm SOI, October 2025 run). Post-fabrication, I extracted free spectral range and group index from measured spectra through curve-fitting, validated against simulation, and performed corner analysis to characterize group index variation with fabrication tolerances.
View Design ReportI'm always interested in discussing optical systems, nanophotonics, or potential collaborations. Feel free to reach out through any of the channels below.