Andrew Bauer Email & Phone Number

Vienna, VA, US

• Implement model serving pipelines using gRPC and pub/sub methodologies, alongside HTTP protocols, for robust and scalable deployment of machine learning models.
• Leverage open-source LLMs for XAI and re-architect and post-train/fine-tune them (e.g. LoRA) on our datasets for specific tasks.
• Manage, mentor, and collaborate with other team members in integrating these technologies for optimal production performance.

Vienna, VA, US

• Build an anti-fake news grader (news websites and podcasts) that upweights transparent and reliable sources of information using NLP:https://www.seekr.com & https://www.seekr.com/seekr-align.
• Company's previous name -- NTENT: https://ntent.com

Bozeman, Montana, US

• Developed machine learning models for anti-money laundering, and preprocessed/analyzed data, using Python, Java, and Pyspark.
• Developed supervised classifiers that achieved 90% recall at 1% FPR at detecting money laundering through corporate bank accounts in the Asia-Pacific region (helped delivered first ant-money laundering product at FICO).
• Helped develop unsupervised clustering algorithms using NLP that achieved 90% recall at 4.7% FPR at detecting corporate money laundering, and that discovered new money laundering patterns.
• Worked with our clients to ensure proper data mapping and delivery through assessments of data quality (mapping between client's data and our schema, detection of missing/invalid values, etc.).
• Wrote Java production code to support different features of our product, e.g. adding functionality to provide quantile estimates for different variables (i.e. providing quantitative measures of anomalous/outlier.
• Solely launched a Jive forum for the analytics department to promote interaction during COVID-19 remote work.

San Mateo, CA, US

• Applied machine learning to credit/debit card and wholesale banking fraud detection, and mined data for business insights using Python (scikit-learn, pandas, numpy, scipy), Hive and Impala, Spark, and Pulse (Feedzai's.
• Lead data scientist on Citibank (client) project: developed classifiers that achieved 66.8% recall and 99.7% money recall (at 0.2% FPR) in detecting wholesale banking fraud ($1 trillion USD dataset); worked.
• Developed classifiers for First Data (client), a major acquiring bank that processes 50% of all US debit and credit card transactions.

San Francisco, CA, US

• Consulted for a fintech startup to improve fraud detection on its mobile payments app.
• Developed an ensemble classifier using deep learning (autoencoder) and other classifiers (random forest, gradient boosted trees) for fraud detection using Python (keras, TensorFlow).
• Reduced incidence of chargeback fraud to 0.2% of total transactions, a 7% increase in the company's previous classification performance.

Toronto, Ontario, CA

• Designed experiments and analyzed behavioral data collected online from Amazon Mechanical Turk.
• Implemented mixed effects regression and ANOVA models using Python, SQL, and R.
• Obtained competitive Brain Canada grant based on merits of proposed research ($100,000 CAD).
• Managed a team of undergraduate researchers and taught data science in Python to lab members.

Pittsburgh, PA, US

• Designed cognitive neuroscience studies and analyzed large neuroimaging datasets.
• Applied machine learning to brain activation data using supervised (SVM, logistic regression) and unsupervised (factor analysis, k-means) methods in MATLAB and R to decode a person’s thoughts.
• Published 4 first-author articles in top-ranking journals; some of this research has been featured in media outlets such as Wired and KurzweilAI.

Pittsburgh, PA, US

• Developed and taught an upper-level undergraduate lab course on applying machine learning and statistical methods to neuroimaging data for 3 semesters (~20 students each semester).

Bloomington, Indiana, US

• Recruited and ran participants in behavioral and fMRI experiments.
• Performed machine learning classification of brain states in MATLAB to reveal what a person is imagining and feeling.

Doctor Of Philosophy (Ph.D.), Cognitive Neuroscience

Master Of Science (M.S.), Cognitive Neuroscience

Bachelor Of Science (B.S.), Neuroscience, Psychology (Double)