Software Engineer (Capstone Partner) at SAP, Irvine, CA

Partnering with SAP to improve its open-source Cloud Application Programming (CAP) model used for enterprise-level application development, aiding over 10k developers.

Data Engineer at Quantiphi Inc

Deployed a business insights application with 70% performance increase and 50%+ reduction in compute/storage costs using scalable pipelines. Engineered scalable ETL and ML pipelines (Python, PySpark, AWS) to power data-driven insights. Onboarded data sets (30M+ records) from new data partners, defining and implementing data ingestion pipelines (Python, Pandas, NumPy) and created an API for real-time translation of user queries to SQL. Optimized data processing to achieve sub-2-second response times and report generation within 10 minutes (10M users, 3 data partners, 500+ attributes). Optimized EMR batch jobs for high resource utilization, ensuring max report generation time of 17 minutes for 50 concurrent users.

Intern, Data Engineer at Quantiphi Inc

Developed a GenAI tool prototype to generate effective git commit messages trained on historical codebase commits. Won 3rd place in internal hackathon. Implemented database schema, integration and deployment of GCP cloud resources for a serverless microservice architecture, resulting in a 35% cost reduction and 10x increase in traffic capacity.

Product Development Intern at Ford Motor Company, India

Designed and developed a modern cloud-based architecture prototype for Ford’s legacy technical assistance software (TF-OAMS) used in 10,000 dealerships worldwide. Developed a prioritization plan, analyzing user behavioral patterns across dealership sites including spatial-temporal traffic volumes and usage frequency by assistance request type.