Experience / Work
Engineering roles across ML systems, clinical software, and data infrastructure.
Summer Intern
Verition Fund Management
ML and Quantitative Systems
Jun 2025 to Aug 2025
Dubai, UAE
- Rotated across five trading desks, gaining exposure to volatility, equity, merger arbitrage, macro, and systematic strategies.
- Built a volatility modeling pipeline processing 3.4M+ market observations, implementing signal optimization techniques that improved forecasting accuracy by 40% over baseline models.
- Designed an equity screener analyzing fundamental metrics across 800+ securities, reducing screening time by 80% and improving hit rate by 45%.
- Engineered a Python-based automation system across multiple strategies, improving data accuracy by 95% and reducing processing time by 70%.
PythonModelingAutomationData Pipelines
Software Engineering Intern
Ujala Life Clinic
Clinical Software and Data Infrastructure
Jan 2025 to May 2025
New York, USA
- Engineered automated ETL pipelines using Google Cloud Run, cutting weekly operations report generation time by 80%.
- Migrated more than 100,000 clinical records from distributed Google Sheets into a centralized BigQuery database, enabling real-time analytics that reduced session conflicts by 45%.
- Standardized metrics across clinic locations, processing 25,000+ monthly data points with a 75% improvement in cross-location tracking accuracy.
Google Cloud RunBigQueryETLClinical Data
Product and Data Intern
Qlub Payments
Data Systems and Analytics
Jun 2023 to Aug 2023
Sydney, Australia
- Developed an analytics dashboard processing 50,000+ daily transactions from Amazon S3, improving decision response time by 40%.
- Built an automated ETL pipeline for daily tip analysis across 200+ restaurants, reducing manual reporting time by 75% while maintaining 99.9% data accuracy.
- Collaborated with the Global BI unit on AWS transaction dashboards, increasing operational efficiency by 35%.
PythonAmazon S3PostgreSQLAWS