Jun 2023 – Present · 2 yrs 9 mos · San Francisco, California, United States

Jun 2023 – Present · 2 yrs 9 mos

Feb 2023 – May 2023 · 3 mos · New York, New York, United States · On-site

• Applying SoTA Semi-Supervised Learning techniques to the most critical models in the Ads Ranking Pipeline

May 2022 – Aug 2022 · 3 mos · On-site

• Implemented Meta-wide multimodal contrastive loss classifier based on recent research
• Engineered several features with 6-point gain for Creator Classification and Segmentation
• Developed self-supervised user embeddings to improve segmentation generalization

Aug 2022 – Dec 2022 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

• Built classifier for large scale ICD-10 code Ranking and Classification for ER admissions
• Modularized classification and metric architecture for faster development iteration

May 2021 – Aug 2021 · 3 mos

• Trained ML models to capture complex relationship between hyperparameters and
• notification metrics
• Utilized candidate generation, ranking, and filtering to suggest optimal hyperparameters
• Achieved tentative metric wins in unwanted notification volume and comments

May 2020 – Aug 2020 · 3 mos

• Developed transfer learning strategies to improve search results, widgets, and ads in more than 6 marketplaces
• Engineered machine learning features from combinations of search query data in several locales
• Productionized flexible cloud infrastructure for massive language model development

May 2019 – Aug 2019 · 3 mos · San Francisco Bay Area

• Implemented chaos engineering with Gremlin to improve security and stability of cloud deployments
• Integrated container automation and validation software in Docker-In-Docker sandbox on AWS GovCloud
• Led team using Agile methodologies to develop highly-available cloud infrastructure as code on AWS

Jan 2019 – Dec 2020 · 1 yr 11 mos · Greater Pittsburgh Region

• Utilizing dependency parsing (NLP) to extract technical information from patents
• My latest CNN model identifies software patent claims with 93%+ accuracy
• Publishing research on various NLP and ML based classifiers this year

Jun 2018 – Aug 2018 · 2 mos

• Developed a feedback control for advanced lighting systems with Newton’s method
• Equalized lighting intensity and color regardless of changing external light sources
• Weighted color equality, cost savings, and aesthetic appeal in multivariate optimization

Aug 2017 – Apr 2018 · 8 mos

• Was honored by Yale and Mayor of Cupertino.
• Won 1st place at Regional Science Fair.
• Won 4th place at California State Science Fair.
• Provides 3D spatial orientation in an unknown space through the establishment of
• thermal patterns (beacons) on objects within the environment. Utilizing the skew, rotation, and size of the pattern, this method can derive six degree of freedom data (x, y, z, pitch, yaw, roll)

Jun 2016 – Jul 2016 · 1 mo

• Worked alongside Prof. Brett Jackson to refine a VR technology known as Redirected Walking
• Led group of interns to investigate human inertial sensory input
• Reduced required physical area for indoor virtual reality systems by up to 400%

Aug 2014 – May 2016 · 1 yr 9 mos

• International Silver Medalist, I-SWEEEP International Science Fair
• Recognized by IEEE
• Won 1st place at Regional Science Fair
• Designed thermoelectric device to improve the efficiency of LEDs by 10-20%
• Used network of capacitors and high-efficiency voltage converters to "recycle" heat energy.