• Lead Software Developer specializing in the development and oversight of our flagship product, featuring a React frontend and Spring Boot backend architecture.

• Implemented Okta authentication, enabling secure and scalable federated access for a diverse client base, ensuring robust security and seamless user experiences across platforms

• Integrated data analytics using Apache Superset

• Directed API development tailored to diverse user and carrier (client) needs, ensuring seamless and efficient interactions across the platform.

• Established a rigorous development process, focusing on best practices in coding, review, and refined CI/CD pipelines and workflows to maximize product quality and team efficiency.

• Fostered a culture of collaboration within the development team, introducing effective practices for communication, code sharing, and peer review that boosted productivity and morale.

• Played a pivotal role in the strategic planning and execution of product features, working closely with stakeholders to align development goals with business objectives.

• Expanded API schemas for ad manager server to include "priority" and additional fields. Updated asynchronous microservice to manage these new fields when polling DynamoDB Stream

• Worked with Data Science team to implement/connect new ML model for categorizing search queries

• Rolled out changes gradually with A/B testing, monitoring DataDog metrics for AWS and Kubernetes instances to watch for breaking changes

• Appointed as the primary developer for a small startup team building enterprise data analysis solutions.

• Spun up a serverless AWS Lambda workflow to handle new data in S3, group metadata, and insert newly-processed nodes into the Amazon Neptune graph database.

• Implemented functions modularly in microservices architecture using pub/sub messaging (SNS) and queues (SQS) between processes.

• Migrated internal clientele dashboard to the cloud to improve UI and increase

adoption for 50 users

• Researched and presented target architecture on AWS using MongoDB, React,

and Node.js

• Surveyed multiple teams to collect UI feedback. Documented requirements for

enhancements to frontend

• Designed Jenkins recurring job to query and index thousands of infrastructure

servers & VMs, updating their status in MySQL database

• Created internal frontend tool with drill-down capability to query data through

Python Flask API