Christopher Reagle

Member of a team that created and supported a chat bot for health systems, provided internal CI/CD support, and provided skunkworks projects when required. The product was built to handle 1,000 or more messages a second through messaging protocol, with averages of 77,446 messages per hour in peak times and API Requests upwards of 500 requests per second.

• Created a service utilizing Chat GPT and Agents to provide a chat service to patients using scraped data from a hospital system after a RAG lookup

• Worked directly with internal customer service team to reduce the time they spent supporting customers, building services to allow bulk importing, custom data migrations. Saved hundreds of man hours for each feature

• Lead initiative for redeveloping dialog system to allow for quicker setup and onboarding of new employees, 50% decrease in ramp up time for new hires by decreasing complexity. Contained a full user validation system containing 50+ validation rules to ensure that the system was being set up correctly

• Integrated with Third Party API's to perform actions such as query patient information, and collate symptoms into a diagnosis, examples such as Epic, Cerner, Infermedica

• Created models using a feedforward neural network and local entity library to predict user intent, utilized BERT as our model

• Created and Supported a Live Chat service which utilized Signal R for websocket management to provide P2P and bot communication

• Integrated with GBM to provide bot integration into google listings

• Managed multiple service environment communicating through internal API's on kubernetes, utilizing the pod scaling to be able to react to changes in demand and decreasing downtime by having hot replicas

• Built a service to consume Kafka messages and pull data for Health Risk Assessment forms from a common form service

• Maintained a python based service that was using tensorflow to act as a worker service training requested custom intent models from a queue

• Utilized worker patterns to queue and complete work async, such as informational logging and cleaning up sockets

• Monitored and Optimized slow SQL Queries using azure sql server and execution plans to improve our response time from chat bot, reports, and data dashboards

• Utilized Redis as an internal cache layer to reduce strain on database and improve speed of retrieval, create distributed caache, and backplane for signal r

• Covered business logic with testing to provide full coverage with unit tests using XUnit, and integration tests where needed, all tests were required to run during build pipeline to prevent against unintended bugs

• Used Checkly to run SLA test suites using playwright to ensure we were meeting uptime requirements, and first alert to any issues that would impact SLA agreements

• Created a NPM package using rollup to share UI components between multiple projects

• Created and Maintained Azure DevOps pipelines utilizing YAML configurations based on shared templates

• Built internal application for performing database migrations during CI/CD Releases utilizing on DBUP

• Used Helm Charts to template deployments, this allowed for standardization and time saving when building out configurations

• Created versioned docker images pushed into a container repository to be ran in multiple environments

• Worked on an agile team to create plans and execute in an iterative process

Provided expertise for many different types of companies and products.

• Designed and Created an ERP system for client, worked individually with client to create specs and gather information while building out a system to support their day to day operations

• Created a ETL process to transfer data from several large database, combine the data and remap the relationships, set the new database up as a distributed database using merge replication between locations

• Supported an internal backup system for running as a service on windows server machines

• Provided support for existing applications for customers