Kenshin Tanaka kemkemG0

Kenshin Tanaka

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, (Apr 2025 Grad)

Engineered a natural language search engine leveraging Qdrant on AWS EKS, enhancing query accuracy with RAG implementation for advanced processing.
Pioneered the development of 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, facilitating efficient data processing and retrieval.
Orchestrated the deployment of multiple microservices using AWS ECS, ensuring their optimal cooperation and functionality within the search engine ecosystem. Fostered a culture of innovation and team collaboration.

Spearheaded the full-scratch development and architectural design of a complex system that bridges 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 throughput and data flow within GCP's ecosystem.
Executed the integration of advanced real-time monitoring tools, including Sentry and Datadog, to uphold system reliability and stability, achieving exceptional system uptime.
Amplified the robustness of End-to-End (E2E) testing frameworks to support multiple communication channels, automating test processes and database deployment using Cloud Spanner and BigQuery, which resulted in a 50% reduction in E2E test execution times.

Directing the development of a state-of-the-art Know Your Client (KYC) web application tailored for the legal sector, encompassing comprehensive phases from conceptualization to deployment.
Implementing the front-end with Nuxt.js and architecting a Typescript-powered Express back-end, all within a Docker compose orchestrated environment for enhanced scalability and maintainability.
Strategically deploying the back-end on AWS ECS and the front-end on AWS Amplify, employing Terraform for infrastructure management, which enables swift transitions and rollbacks between staging and production environments.

Collaborated on a team to develop a sophisticated abnormality detection program, using Python and machine learning algorithms, which substantially increased the precision of defect identification in manufacturing.
Implemented an OCR tool for financial document analysis, converting PDFs and images to actionable data formats, thereby streamlining data extraction processes.
Contributed to the enhancement of large-scale web applications, addressing feature additions and bug resolutions, and employing a diverse stack that includes React with Typescript, Express, Django, and Laravel for full-stack development capabilities.

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