- Designed and deployed enterprise AI/ML solutions for the bank's data platform.
- Built an agent integrated with a larger digital employee to extract and standardize data from unstructured financial documents, achieving 96% extraction accuracy and reducing manual processing to allow teams to focus on analytics and strategic work.
- Led development of an AI-assistant trained on technical documentation and enterprise knowledge sources to deliver role-aware, context-sensitive support across products and features for 1,400+ employees, improving self-service, reducing support load, and accelerating data onboarding.
- Engineered the company's first regulatory agent for reviewing supervisory findings, auditing remediation progress, handling CSI securely, and drafting responses, successfully addressing 15+ findings from regulators.
- Developed a data governance tool that orchestrated multiple agents to automate generation of data dictionaries, standardized business terms, and data quality rules to enhance metadata accuracy, enforce a single source of truth, and improve enterprise data quality.
- Developed a RoBERTa-based sequence classification model to assign sensitivity levels to data lake elements, leveraging NLP to improve compliance for over 2000 datasets.
- Implemented an ARIMA-based time series anomaly detection model to identify abnormal data ingestion patterns in the data platform, proactively detecting pipeline issues and supporting operational monitoring.
- Built statistical and machine learning models to automate SLA assignment for data providers, improving operational efficiency and resulting in ~25% fewer late deliverables.
- Built and maintained automated web scraping pipelines, storing datasets in AWS, and processing them to extract insights to support decision making.
- Partnered with analytics team to drive discovery and integration of new data sources, expanding the company's data capabilities.
- Developed a client application interfacing with the company's trading platforms to submit orders, execute trades, and consume real-time market data.
- Consolidated end-to-end testing and validation of legacy and modern FIX-based trading platforms.
- Collaborated with senior engineers in an Agile environment to deliver features in two-week sprints while gaining experience with financial systems, communication protocols, and enterprise codebases.
- Analyzed the Common Data Set of over 100+ colleges and universities around the country and evaluated factors important for admissions.
- Compiled data for college essays and resumes written by users of the platform.