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Electrical Engineering + Computer Science @ MIT

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'm pursuing an M.Eng. in Electrical Engineering & Computer Science at MIT. I am part of the Terahertz Integrated Electronics Group at the Microsystems Technology Laboratories (MTL), part of the Department of Electrical Engineering and Computer Science at MIT.

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 Apple: designed novel algorithms to optimize ASIC physical design on the GPU Physical Design team

  • 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, published in this IEEE paper

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



  • Other Things