Location: Vancouver, Canada | 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, 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 skills: 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.

• 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, 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.