kemkemg0,Kenshin Tanaka,kemkemG0,github

Kenshin Tanaka

Location: Vancouver, Canada | Email: [email protected] | Phone: 778-222-1023
GitHub: github.com/kemkemG0 | LinkedIn: linkedin.com/in/kemkemg0

University of British Columbia - BSc in Computer Science, 3rd year | Vancouver, BC, (Apr 2025 Grad)

Languages: Proficient in C, C++, Go, Java, TypeScript, Python, SQL; familiar with Rust and Kotlin for comprehensive and modern software development.
Tools & DevOps: Extensive experience with Docker, Docker-Compose, GitHub, GitHub Actions, Terraform, Kubernetes; adept in CI/CD practices and Infrastructure as Code (IaC) methodologies.
Frameworks & Libraries: Expertise in developing scalable applications with Next.js, Nuxt.js, Express; knowledgeable in front-end frameworks such as React and Angular, and back-end frameworks including Flask and Django.
Cloud Platforms & Architecture: Advanced proficiency with AWS and GCP services, embracing serverless computing and cloud storage solutions; capable of architecting and deploying applications with a deep understanding of network and infrastructure layers.
Database Technologies: Strong background in traditional relational databases (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB); experienced with vector databases like Qdrant and adept in database clustering.
Performance Monitoring & SRE: Familiar with SRE practices with tools like Datadog, Sentry, AWS CloudWatch; skilled in defining and monitoring SLIs and SLOs.
Competitive Programming & Problem Solving: Top 15% ranking in competitive programming; well-versed in algorithms.
Security: Solid grasp of application security principles, including secure coding practices, OAuth, and fundamental cryptographic concepts.

Engineered a cutting-edge natural language search engine leveraging Qdrant, a vector database, to enhance query relevance and accuracy.
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, 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, Express, Django, and Laravel for full-stack development capabilities.