Led project to implement agent working hours, fully integrating this feature into agent scheduling and timeoff functionality.
Implemented realtime dashboard, allowing customers to monitor agent states at a glance with dynamic grouping and filtering options.
Developed reusable React components (Table, Sheet, Filter dropdowns) used widely within the rest of the product.
Implemented and deployed end-to-end acceptance tests with Playwright, hooked directly into CI/CD pipeline via CircleCI.
Developed rule-based system for auto-approval and auto-denial of timeoff requests based on customer configuration.
Implemented calendar-based view for users to visualize timeoff availability based on rules and existing timeoff requests.
Collaborated in effort to migrate entire frontend codebase to TypeScript.
Hvr - social web app
Developed full-stack Flutter application for moderation and user partnership management.
Heavily used PostgreSQL for input validation, functions and triggers for state management and shared operations and built-in JSON formatting for response output.
Utilized thin python layer for API, utilizing AWS Lambda and Lambda Layers to reduced compiled function size to under 500 KB, increasing performance and reducing costs.
Migrated client authentication system from in-house solution to full integration with AWS Cognito.
Ideal Candidate - talent intelligence system
Engineered architecture and strategy for transitioning monolithic machine learning application into model-based microservices, determining ideal autoscaling and deployment strategies to prevent downtime, resulting in reducing AWS costs by 20% and improving our teams ability to debug and fix issues with model performance.
Implemented microservice project template for existing machine learning models for use within hiring prediction pipeline.
Developed model caching system using AWS S3 object storage and transitioned legacy redis-based caches to new system, resulting in increased time-to-inference performance.
Thinkdata Works - data platform and cataloging solution
Developed NLP entity resolution system from prototype to full integration with microservice framework via RPC protocols, optimizing execution speed by 40% and increasing model accuracy by 5% on established test benchmarks.
Developed internal tool using Flask and RedisGraph for annotation of metadata in order to build a dataset for automatic entity detection.
Spoke at Toronto Machine Learning Summit Conference on behalf of Thinkdata Works, describing production and deployment issues and solutions for our entity resolution system.