Experience

Kensho Technologies

Cambridge, MA•May 2025 - Present

Building a Python library of LLM tools & backend API endpoints to expose S&P Global financial data to clients.

New York, NY•January 2025 - May 2025

Integrated full stack GIF functionality into comments on web (React, TypeScript) and mobile (React Native) platforms by developing a backend endpoint (Express.js) that interfaces with external GIPHY API to fetch GIFs and implemented optimized PostgreSQL queries to dynamically surface users' frequently used GIFs.
Enabled rapid ECS Fargate service deployment by engineering a reusable Terraform module (600+ lines) that initializes an ECR repository for pushing Docker images, CloudWatch logging with Datadog integration, IAM roles, and SQS.
Improved comment attachment upload success rate by 5% in the React Native mobile app by engineering robust retry logic using local SQLite database storage via Expo Drizzle, enhancing performance during intermittent connectivity.
Reduced customer API export processing time by 93% (from 6000ms to 400ms) by optimizing large SQL queries.

Malvern, PA•May 2024 - August 2024

Automated the manual calculation of the Pricing Index for Financial Adviser Services, increasing efficiency by 75% & eliminating human error by engineering a real-time ETL data pipeline from AWS DynamoDB to S3 to Tableau.
Extracted and transformed stream records from JSON to CSV utilizing Python & Pandas in an AWS Lambda function.

Durham, NC•January 2024 - May 2024

Established the data processing pipeline from subject intake to experiment configuration to data analysis of results on a high-performance computing (HPC) cluster in Python for a research experiment with 60 subjects, saving 180+ hours.
Conducted data wrangling on large-scale datasets by engineering a Python package with a custom-built command line interface (CLI) & unit testing using pandas & Jupyter Notebook to process data.