Email: kemkemg0@student.ubc.ca | Phone: 778-222-1023 | GitHub: github.com/kemkemG0 | LinkedIn: linkedin.com/in/kemkemg0

University of British Columbia
BSc in Computer Science, 4th year | Vancouver, BC | Expected Graduation: April 2025

• Incoming Professional Service Consultant at AWS Japan, starting August 2025.

• Designed and implemented an ETL pipeline using Kafka, AWS Firehose, Lambda, and Redshift Serverless to process crawled data efficiently.

• Engineered a natural language search engine leveraging Qdrant on AWS EKS, enhancing query accuracy with RAG (Retrieval-Augmented Generation) implementation.
• Developed a conversion pipeline to transform natural language queries into vector embeddings, significantly improving search functionality.
• Constructed a high-performance REST API server using Go, designed to interface seamlessly with a machine learning server for efficient data processing and retrieval.
• Orchestrated the deployment of multiple microservices using AWS ECS, ensuring optimal cooperation and functionality within the search engine ecosystem.

• Spearheaded the full-scratch development and architectural design of a complex system linking user-initiated events with a dedicated microservice for comprehensive data analysis.
• Developed and deployed a Go-based Dataflow job, optimizing the processing pipeline for event ingestion from Cloud Pubsub, enhancing data flow within GCP's ecosystem.
• Integrated advanced real-time monitoring tools, including Sentry and Datadog, to uphold system reliability and stability.
• Enhanced End-to-End (E2E) testing frameworks to support multiple communication channels, automating test processes and database deployment using Cloud Spanner and BigQuery, resulting in a 50% reduction in E2E test execution times.

• Directed the development of a state-of-the-art Know Your Client (KYC) web application tailored for the legal sector, from conceptualization to deployment.
• Implemented the front-end with Nuxt.js and architected a Typescript-powered Express back-end, all within a Docker Compose orchestrated environment.
• Deployed the back-end on AWS ECS and the front-end on AWS Amplify, employing Terraform for infrastructure management, enabling swift transitions and rollbacks between staging and production environments.

• Developed a sophisticated abnormality detection program using Python and machine learning algorithms, increasing the precision of defect identification in manufacturing.
• Implemented an OCR tool for financial document analysis, converting PDFs and images into actionable data formats, streamlining data extraction processes.
• Enhanced large-scale web applications, addressing feature additions and bug resolutions, utilizing a stack including React with Typescript, Express, Django, and Laravel.

• Contributed to Qdrant, a Rust-based high-performance distributed vector database:

  • Abstracted snapshot functionality to support various cloud storage solutions, not just local storage.
    • Link to the PR: qdrant/qdrant#4150
  • Resolved an issue where data insertion would crash due to insufficient storage, implementing DiskMonitoringManager for heuristic capacity monitoring.
    • Link to the PR: qdrant/qdrant#4165
  • Earned approximately $700 USD in bounties for these contributions.

• Achieved a top 15% ranking in competitive programming, demonstrating strong problem-solving abilities and proficiency in algorithms.