Core Responsibilities: development and maintenance of AI-powered platform for personal injury law.- Billing System Overhaul: Owned PostgreSQL database schema design and API updates for Django web backend to create generalized framework for customer contracts. Implemented new pricing system, permitting the launch of two new products for personal injury victims.- Scaling Optimizations: Investigated recurring Kubernetes pod crashes and determined culprit was process scaling independently… Show more Core Responsibilities: development and maintenance of AI-powered platform for personal injury law.- Billing System Overhaul: Owned PostgreSQL database schema design and API updates for Django web backend to create generalized framework for customer contracts. Implemented new pricing system, permitting the launch of two new products for personal injury victims.- Scaling Optimizations: Investigated recurring Kubernetes pod crashes and determined culprit was process scaling independently of others in the same container. Implemented Celery task queue with Amazon SQS message broker to distribute memory-intensive process to independent async workers. Pod crashes caused by this specific process dropped to 0 after production deployment.- Custom Integrations: Refactored integration with 3rd party case management platform by generalizing query generation and data transformations, enabling rapid future development in case of custom client data model. Built client-specific data import process within this framework to allow one-click product access for the largest personal injury law firm in America. Show less

Collaborated with full stack development team to maintain and upgrade contact data search engine service for Amazon Connect.- Voice ID integration: Owned integration of voice authentication data into search service after departure of senior engineer. Developed search functionality for fraud risk attributes and updated UI to display Voice ID data to customers with appropriate permissions. Coordinated with security and QA teams throughout project to ensure feature launched with highest… Show more Collaborated with full stack development team to maintain and upgrade contact data search engine service for Amazon Connect.- Voice ID integration: Owned integration of voice authentication data into search service after departure of senior engineer. Developed search functionality for fraud risk attributes and updated UI to display Voice ID data to customers with appropriate permissions. Coordinated with security and QA teams throughout project to ensure feature launched with highest standard of customer protection and product quality.- Customer data protection: Discovered breach of customer privacy in service logs during routine bug investigation. Deployed patch immediately and identified all affected logs in follow-up investigation. Developed Major Change Management procedure to oversee safe redaction and deletion. Scrubbed customer data from 2 year period totalling 146.9 GB across 15 production regions. Show less

Collaborated with multidisciplinary Agile data science team to design, test, and deploy predictive models.- Optimized production forecasting module and decreased overall runtime by 50%.- Converted legacy database procedures to containerized Spark pipeline leveraging data lake storage, orchestrated with Airflow.

Provided senior advisors with research support for strategic decision-making.- Conducted analysis of trade datasets to quantify impact of international tariffs on domestic renewable energy supply chain.- Defined metrics to identify and rank economic benefits of experimental energy generation, transmission, and storage technologies.