Carnegie Mellon University

Activities and Societies: Peer Academic Advising, Computer Science Club

Rice University

Senior Software Engineer

• Launched automated ML-powered follow-up requests and increased customer feature usage by 335%.
• Designed extensible, modular architecture to support two-way field value sync between an internal service and external integration. Led live iteration/debugging and Q&A sessions to maximize client on-site utility. Unblocked new product enablement for 3 enterprise clients, saving each multiple hours per service rep per day.
• Served as Home Equity team's Technical Lead. Guided architectural and design decisions for key initiatives. Mentored engineers up to the senior level. Worked closely with engineering & product leadership on roadmapping, prioritization, and cross-team collaboration.
• Architected data model and service layer for key components of novel Builder Platform and enabled backwards-compatibility with legacy services. Drove adoption from 0 to 12 live enterprise clients in 4 months.
• Led loan pipeline project for Builder Platform team. Collaborated with product leadership on scope, risk mitigation, and delivery. Made key technical decisions, delegated tasks, and drove project team accountability.

• Spearheaded NLP pipeline redesign and reduced persistent production bug count by 25%.
• Parallelized the backend build process and improved deployment speed by an average of 63%.

Software Engineer

• Led engineering effort to build Starbucks virtual barista using AI, NLP, and machine learning techniques, resulting in a contract worth $2.3M ARR.
• Implemented CRF parsing model and improved accuracy by 10% over baseline HMM parser.
• Designed training data collection and processing pipeline by leveraging Amazon Mechanical
Turk, which was adopted for all client projects.

• Implemented metrics standardization and reduced average experiment lifecycle by 70%.
• Optimized metrics processing jobs and reduced runtime by 45%.

Graduate Research Assistant: OAQA Group

• Developed a machine learning-based diagnosis and treatment recommendation using
IBM’s Watson system, which was incorporated in Oncology Engagement Advisor system
piloted by IBM and M.D. Anderson Cancer Center.
• Developed NLP pipelines for Watson-enabled client solutions.

Software Engineer Intern

Diagnosed and repaired software, hardware, and networking issues on student and faculty computers.

Student Computing Consultant

Assisted instructors with grading student assignments, hosting review sessions,
and other administrative course duties.