About
I'm a Systems Engineer at Goldman Sachs focused on improving the reliability of post-execution derivatives systems — root cause analysis, incident management, and building AI tools to make that work faster. My background spans data engineering, machine learning, and full-stack development across fintech, edtech, and media startups. I hold an MS in Business Analytics from UC Davis and a BS in Computer Science from University at Buffalo.
Experience
Associate, Systems Engineering
Goldman Sachs · Draper, UT
- Performing root cause analysis and deep-dive investigations on data consistency errors in post-execution derivatives pricing systems.
- Managing production incidents end-to-end — from triage through resolution — and providing ad-hoc data extracts to business stakeholders.
- Building and integrating AI-powered tools to support analytics and operational workflows across production systems.
ML Engineer Intern
Motate · San Francisco, CA
- Contributed to a serverless video localization pipeline (speech-to-text → translation → voice synthesis) built on AWS Lambda, Step Functions, S3, and DynamoDB.
- Built and maintained Airflow DAGs for automated video processing workflows handling 10K+ daily files.
- Worked on NLP-powered document intelligence features for media localization and compliance workflows.
Data Scientist (Practicum)
ExPrep · San Francisco, CA
- Wrote SQL queries against GCP BigQuery to analyze exam submission data across 89K+ users and surface actionable insights for the product and ops teams.
- Built Power BI dashboards tracking instructor engagement, course usage, and learner performance, adopted by 15+ institutional partners.
- Conducted analysis on feature adoption and user behavior to support product decisions and retention strategy.
Systems Engineer
Goldman Sachs · Salt Lake City, UT
- Provided production support for OTC derivative and repo trade processing systems — resolving Sev2/Sev3 incidents and performing root-cause analysis to maintain 99.9% uptime during trading hours.
- Automated nightly batch workflows via Autosys to ensure reliable scheduling and timely reporting across derivative processing pipelines.
- Led Business Continuity Planning (BCP) drills for derivative and liquidity trade processing applications.
Software Engineer
Replete LLC · Remote
- Developed Java Spring Boot REST APIs and contributed to backend services across a distributed system.
- Worked on AWS Redshift data pipelines and SQL reporting for client analytics.
Data Engineer Intern
rprt LLC · Buffalo, NY
- Automated HIPAA-compliant data workflows with Apache Airflow.
- Developed SQL dashboards tracking operational KPIs to support business decision-making.
Research Assistant — Machine Learning
University at Buffalo · Buffalo, NY
- Trained CNN-based anomaly detection models in TensorFlow and Keras on high-energy physics datasets, achieving 85% accuracy.
- Reduced data preprocessing time by 30% by expanding and optimizing pipeline workflows for large-volume experimental data.
Projects
Conversational AI for NPS campground and permit queries. Answers natural language questions about park availability and regulations with streaming GPT responses.
Skills
Languages
Cloud & Infra
Data Engineering
ML & Analytics
Frontend
Observability
AI Tools
Certifications