Experience

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  University of washington

  Mar 2009 - Apr 2012

  Undergraduate research assistant

  I studied the opto-electronic properties of nanocrystals both experimentally and with DFT collaboratively with the Gamelin and Li Research groups

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  University of wisconsin-madison

  Jun 2011 - Aug 2011

  Reu student

  Epitaxial growth of PbSe nanocrystals on metal oxide nanowire surfaces with the Jin group

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  Université de genève

  Apr 2012 - Jul 2012

  Post-baccalaureate researcher

  I studied fluorescence line narrowing (FLN) spectroscopy as a tool for tracking energy migration within nanocrystals of inorganic molecular complexes with the Hauser group

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  Uc berkeley

  Aug 2012 - Dec 2012

  Graduate student instructor

  Introductory chemistry lab instructor Fall 2012 - two sections

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  Berkeley lab

  Oct 2012 - May 2017

  Graduate research assistant

  Graduate student research fellow at the Advanced Light Source developing single nanocrystal mid-infrared optical characterization using near field optics (s-SNOM)

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  Uc berkeley

  Jan 2014 - May 2014

  Graduate student instructor

  Introductory chemistry lab instructor Spring 2014 - two sections

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  Politecnico di milano

  May 2014 - Jul 2014

  Visiting graduate research assistant

  Ultrafast transient absorption measurements of localized surface plasmon resonances in the near-IR with the Scotognella group.

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  The university of texas at austin

  Nov 2015 - Jul 2017

  Visiting graduate research assistant

  Mid- and near-IR optical characterization of plasmonic metal oxide materials with the Milliron Group.

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  Intel corporation

  Oct 2017 - Feb 2019

  Process engineer

  Front end plasma etch. Primiraly using SPC and E3 data flows to diagnose process shifts and machine issues.

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  Metis

  Jul 2019 - May 2020

  Data sciene bootcamp

  Bootcamp on data science techniques with a project focus. My projects:1. Google Flights price predictions: Machine learning using linear regression on scraped flight price data to predict how far in advance booking a flight stops saving you money2. Hard Drive failure predictor: Random forest classification model was able to predict over 55% of hard drives that would in advance on over 30K drives with less than 1% overhead on predicting working drives will fail.3. NLP model to analyze /r Science comments on Reddit: Uses non-negative matrix factorization (NMF) to establish a topic basis of over 200K comments to figure out what comments are being moderated or not at a high level.4. Machine Vision for QA - Steel Plate Defects: Using 50K+ images of steel plating to build a neural net that can identify both and type and position of defects from a QA image. Show less

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  Randstad / facebook / oculus

  May 2020 - Apr 2021

  Process engineer

  Front end plasma etch engineer developing etching strategies and recipes for optical devices.

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  Hcl technologies

  Apr 2021 - Oct 2022

  Process engineer
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  Micron technology

  Oct 2022 - now

  Senior dry etch process engineer