Daniel Kwan Email & Phone Number

Toronto, On, Ca

- Developed batch multi-search feature, allowing up to 30 queries in a single API call reducing API calls by 70%, from 1000 to 30, improving efficiency and integrating seamlessly with internal solution- Integrated vector search feature using OpenSearch, incorporating the KNN plugin; resolved critical version incompatibilities impacting the accuracy of search results for over 10,000 end-users- Increased configurability for search calls, enabling higher precision and accurate results from external services by adding debug parameters allowing users to view semantic expansions of their queries for greater transparency- Optimized elasticsearch queries, reducing search time by 20% through the deduplication of semantic synonyms and enhancing overall application performance- Spearheaded the implementation of configurable options across 5 Elasticsearch indices, increasing system performance by 5%, while writing thorough tests to ensure stability and facilitate seamless future updates for product enhancements

Toronto, Ontario, Canada

- Developed API integration with Watson Assistant using API Gateway, Lambda, and Secrets Manager to create intelligent flows and improve search queries for EPS querying PostgreSQL databases- Explored generative AI (OpenAI) to automate database searches, aiming to replace traditional queries with conversational interfaces for client-facing applications- Developed interbank communication solutions using Spring Boot, Kafka, Docker, and Postman to translate ISO messages to OBIE open banking formats, focusing on field mapping and integration

Toronto, Ontario, Canada

- Developed and deployed scalable full stack web application using ReactJS, ExpressJS, and MongoDB, enabling 100k+ users to donate and bid on items for an employee charitable fund-Increased website traffic and participation by 300% through effective cross-functional collaboration on product and design requirements- Optimized application performance by refactoring legacy code, reducing load times by 40% and improving user experience

Toronto, Ontario, Canada

- Expedited the deployment process by integrating static code analysis and auto-generated documentation into Azure to identify issues and reduce errors before deployment- Introduced automated static code scanning and autogenerated documentation processes using Azure DevOps, improving code quality and reducing post-release defects by 25%- Integrated network flow log monitoring for virtual machines connected through Azure Monitor Private Link using Terraform and Log Analytics

Waterloo, Ontario, Canada

- Engineered an automated reporting solution with AWS Lambda function with Infrastructure as Code (CloudFormation), streamlining report generation and email distribution, reduced manual intervention by 80%, cut report delivery time by 50%, and enhanced the reliability of data dissemination- Created custom command-line tool using AWS Boto3 to streamline S3 uploads and CloudFormation deployments, doubling 2x team productivity and enabling faster, more efficient workflows- Developed an automated Python script for audit report generation, streamlining data compilation and reducing manual work by 30 hours per month