At Liine, I own Python/Django integrations with Google, Microsoft, and Meta APIs, taking features from requirements and customer issues through QA, rollout, and production support. I also led the design of a production LLM pipeline using Amazon Bedrock, SQS, and Lambda to turn unstructured healthcare calls into structured data.
Previously at Altus Group, I architected a 0-to-1 distributed AWS platform and led five engineers through delivery. I reengineered a real-time address service from 100 requests per minute to 1,000 per second and deployed the company’s first SageMaker ML model, contributing approximately $2M in revenue.
I’ve built scalable Python APIs, high-performance DynamoDB data models, and low-latency RDS and Elasticsearch systems supporting real-time products. I also maintain CI/CD workflows, translate product requirements into shippable designs, and mentor engineers across complex cloud systems.
At StratoDem Analytics, I independently shipped a Python/Dash platform that consolidated three legacy products and served millions of data points. I also authored the recommended Material UI implementation for Dash’s open-source framework and built an election-data modeling project using Random Forest and geospatial regression.
