Successful background in designing and maintaining robust and performant software backed by programmatic testing and static analysis. Possesses strong intuition in program debugging and fault analysis with a focus on using the right tool for the job.
Lead a team in developing NLP-based solutions to optimize and automate existing workflows, driving improved efficiency and quality control across processes.
Implemented an automated contract review system that effectively identified language and financial discrepancies. System reviews over $500 billion in contracts annually.
Engineered a document verification system to fully automate motgage insurance regulartory obligations, bringing coverage from 2% to 100%.
Launched an email triage system that automated sorting processes, cutting down triage times from hours to minutes.
Collaborated with cross-functional teams to integrate vendor systems using AI/ML models, setting and validating performance metrics that ensured services met contractual requirements.
Founded and led LLM/Generative AI communities of practice to drive innovation and cross-team collaboration.
Managed a team of 8+ data scientists and engineers, providing mentorship and guidance to foster professional growth.
Spearheaded the development of internal applications that accelerated partner activities and streamlined data analytics processes across the bank.
Developed graph traversal tooling that provided in-depth insights for marketing, wealth, and fraud teams, leading to more targeted strategies.
Engineered robust data pipelines to support the creation of a scalable data lake, leveraging Spark and SQL for efficient data ingestion and transformation.
Mentored interns and junior team members, sharing industry best practices and fostering professional development.
Developed a native web client for controlling a broadcast network utilized by leading North American television providers.
Developed a single-page web application using a Spring MVC backend (Tomcat/Jetty) and a Backbone/jQuery frontend, efficiently handling large datasets in high-latency environments.
Automated the manual build process by tracking source changes, reducing turnaround time from weeks to minutes, and implemented static analysis tools to proactively catch errors.
Successfully transitioned over 10 million lines of code from Java 6 to Java 8.
Bachelor of Applied Science - 2011
The present disclosure pertains to a system and method for determining differences between at least two documents. A preferred embodiment disclosed herein pertains to a system and method for determining differences in the text or terms of legal documents, for example transactional legal agreements, such as but not limited to Trade Confirmations. The document review system can compare text documents to other text documents but is further capable of comparing text documents to structured spreadsheet data. The combination of static component verification in combination with dynamic component verification leads to a powerful tool which greatly reduces the time and efficient of document review while reducing the risk of human errors. Utilizing word embeddings in the static verification in combination with the use of named entity recognition, rule parsers in the dynamic verification, enables the system to produce concise and meaningful summaries of differences between multiple documents.