Payment

- Led the development of the backend service for the Genies Studio app, the flagship product of the company with a user base exceeding 10k. Implemented data modeling for the backend database and API, utilizing API Gateway, Lambdas, DynamoDB, Cloudwatch, and Datadog monitoring tools. Spearheaded a refactoring effort that directly resulted in a 30% reduction in API latency and a 50% increase in capacity, significantly improving app performance. The APIs, developed in TypeScript, efficiently processes over 10k+ requests weekly.- Owned and led the authentication system at Genies, enhancing its reliability and monitoring capabilities, which resulted in an increase in deliverability from 90% to 99%. Strengthened the critical login system with improved security measures, utilizing TypeScript and Terraform, and ensured high availability, contributing to a seamless user experience.- Led the backend development for a new mobile CMS, utilizing TypeScript, Terraform, and Postgres, resulting in a cost-effective and efficient solution tailored to the company's needs. By conducting market research and advocating for a third-party solution that syncs Airtable data to Postgres, successfully improved real-time control over asset properties, increased availability, and reduced the number of bugs by 50%. This strategic decision saved the company significant time and resources, with a current cost of only $150 per month compared to the potential millions spent on developing a custom CMS. The implementation also enhanced the user experience for both internal and external users.- Successfully developed a notification system API on AWS for Genies, which led to a 25% increase in user acquisition by integrating AppSync, Lambdas, and SQS. The API, written in Golang and provisioned using Terraform, processed over 1,000 notifications daily while maintaining a 99.98% uptime rate.

AWS Security Assurance Engineering- Implementing and designing large scale automation solutions to transform the evidence collection process for AWS audits, saving thousands of man hours.- Led and developed an internal web application, "Redaction as a Service", which leverages AWS ML services to suggest redactions for documents uploaded by customers. - Implementing new features and releases for AWS Artifact- Developing application on AWS using technologies like CDK (cloud development kit) to deploy the backend through cloudformation, lambda, api gateway, dynamoDB and others- Frontend experiences include working in javascript with the React Framework

- Designed and implemented a machine learning solution to ensure data quality in AWS product catalog service. This solution prevents revenue affecting incidents where customers are displayed erroneous data.- Created API endpoints for product managers to verify new products.- Implemented project with API Gateway, AWS Lambda, and Amazon S3. Coded in python.

- Wrote automated postman tests for different API functionalities to ensure quality control.- Discovered a critical bug in the authorization workflow which would have allowed attackers to gain access to user accounts.- Wrote RESTful api functionalities as needed by the team. C#, .NET Stack

- Helped create a backend tool in Java that identifies dependencies of different softwares to allow an easier software deployment process companywide.- Developed a search functionality with test driven development practices using an open source library called Lucene to search for all applications and services that State Farm has.- Developed and demonstrated a prototype android application with the goal of helping State Farm employees find meeting rooms. Projected to save State Farm 1000+ hours in productivity annually.

-Led a class of eight middle school students and taught them basic programming concepts in JavaScript at a technology camp.- Utilized different teaching strategies from creating and demonstrating working examples to walking through more complex code to help student thoroughly understand the material.