Resume

Work experience

• Jan 2025 - Present: Software Engineer, Machine Learning, YouTube
• April 2024 - Jan 2025: Senior Software Engineer, Machine Learning, LinkedIn
• Nov 2021 - April 2024: Software Engineer, Machine Learning, LinkedIn
  • Led 3 teams cross functionally to develop a multi-armed bandit platform for premium upsell and online jobs budget recommendation leading to a revenue increase of ~$36M annually.
  • Created and modeled a precomputed two-tower neural network to serve as the L1 ranking layer of a job recommendation system which saved 17% latency due to the precomputation with neutral relevance impact.
  • Migrated the first L2 job recommendation model to an internal hosted service allowing for further innovations in large parameter models due to scalability service.
• Jan 2021 - Sep 2021: Machine Learning Scientist II, FICO
  • Developed a Python package to aid users that did not receive favorable decisions from a machine learning model by mining frequent user characteristics and maximizing a submodular objective function from scratch to provide actionable recourse rules.
  • Mentored and formalized a plan for an intern working on developing a specialized hyperparameter search space for loan origination models.
  • Profiled existing algorithms and redesigned them with cProfile to be parallelized using multiprocessing, dask, and ray achieving 30% speedups in data with over 1 million rows.
• June 2019 - Aug 2019: Data Science Intern, Deloitte
  • Applied machine learning techniques to develop credit card fraud detection methods based on historical transaction data while being robust to evolving fraud strategies.
  • Built pipeline for feature generation using a deep autoencoder embedding in Keras as a one-class way of identifying non-fraudulent transactions beating the baseline tree based model of an AUC by 1% potentially saving $1M in fraud.
  • Visualized a high-dimensional dataset with nonlinear dimensionality reduction techniques such as T-SNE using sci-kit learn to find clusters of fraudulent transactions.

Skills

• Programming Languages
  • Python, Spark Scala, SQL, C/C++
• Tools
  • Tensorflow, Keras, scikit-learn, NumPy, SciPy, Matplotlib, Pandas, scikit-learn, gensim, spacy, ray
• Other
  • Linux/Unix, Git, LaTeX, AWS, Docker, Streamlit

Education

• Ph.D in Physics (Computational Astrophysics), University of California, Los Angeles, 2020
• M.S. in Physics, North Carolina State University, 2014
• B.S. in Physics, North Carolina State University, 2012
• B.S. in Mathematics, North Carolina State University, 2012