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GPU Design Engineer @ Apple

About Me

I'm passionate about building hardware systems, and the software that make them run efficiently, because I believe understanding the entire stack is the best way to engineer robust solutions.

Currently, I work as a GPU Design Engineer at Apple. Previously, I pursued my M.Eng. in Electrical Engineering & Computer Science at MIT as a part of the Terahertz Integrated Electronics Group at the Microsystems Technology Laboratories (MTL).

My broad research and professional interests include:
  • Hardware: mixed-signal systems, digital systems (FPGA, VLSI), hardware security, and device physics/fabrication
  • Software: compilers, systems engineering, data engineering

Hardware Projects






    RF, Mixed Signal, and Digital Designs
  • Xilinx RFSoC-Based NOAA L-Band Satellite Receiver: developed an RFSoC-based satellite receiver for L-band signals from NOAA's GOES satellite constellation

  • FPGA-Based Real-Time ADS-B Scanner: developed an FPGA-based real-time digital signal processing of ADS-B radio signals used in aircraft tracking and collision avoidance

  • Internship with Cambridge Terahertz: designed an FPGA-based system for data capture from a novel terahertz radar array

    • Nanofabrication and Characterization
  • Microfluidic Cantilever Fabrication: fabricated microfluidic channels for AFM-based nano 3D-printing, as well as designing its electrical control systems

  • Characterizing the Mechanical Properties of IP-S: characterized a common photo-polymer used in 2-Photon Polymerization 3D printing

  • Fabrication Silicon Solar Cells: Fabricating and testing silicon solar cells in MIT.nano

Software Projects


Compilers
  • Served as a Teaching Assistant for MIT's 6.1100, Computer Language Engineering class in 2024 and 2025

    • Data Engineering and Full Stack
  • Internship with Iridium: developed data pipelines using Scala, Apache Spark, and Databricks to move millions of telemetry records

  • 3DSeaVizKit: a Python, TypeScript and WebGL-based 3D visualization suite for ocean model data (IEEE OCEANS 2022)

  • MIT WxChallenge website: a D3.js-based visualization tool for weather forecasting data



    • Other Things

    • I participate in the WxChallenge, an intercollegiate weather forecasting competition