Work Experience
A brief overview of my professional journey and career milestones.
- Built and improved a user-facing portal for JPNAP, the largest Internet Exchange Service in Japan, enhancing usability and accessibility for end users.
- Implemented and maintained database migrations and CRUD functionality using Ruby on Rails (ActiveRecord) and MySQL, ensuring reliable data integrity.
- Designed backend features following MVC principles, improving code maintainability and supporting future feature expansion.
- Developed responsive frontend components using AngularJS, TypeScript, and Bootstrap, delivering a smooth and intuitive user experience.
- Improved application performance and responsiveness by contributing to a Single Page Application (SPA) architecture and frontend caching strategies.
Part-Time Software Engineer
Nov 2022 - May 2025·2 yrs 7 mosTokyo, Japan·Remote- Contributed to a full-stack enterprise application for standardizing employee health workflows, using Nuxt.js, Vue.js, and TypeScript on the frontend and Java Spring Boot on the backend.
- Developed serverless REST API endpoints using AWS Lambda, Python, and Node.js to handle data ingestion, transformation, and persistence.
- Architected and implemented a serverless reporting pipeline using AWS Step Functions and Python, transforming user-submitted data into individualized PDF reports with dynamic charts and scoring logic.
- Implemented dynamic PDF layout logic using ReportLab, calculating spacing and pagination to support variable-length sections, comments, and category counts across customers.
- Contributed to backend infrastructure supporting real-time data processing, integrating with existing systems to improve reliability and performance.
- Participated in peer code reviews, providing feedback to maintain code quality, consistency, and engineering best practices.
- Contributed to the development of a customer-facing payment portal using React.js, Node.js, and Express, supporting payment flows across Stripe, Alipay, WeChat Pay, Weibo Pay, and PayPay.
- Implemented GraphQL schemas and queries to fetch and render data dynamically, enabling responsive UI updates across the application.
- Collaborated with designers, product managers, and engineers to integrate and deploy new features within an agile development process.
- Wrote and maintained end-to-end and component tests using Cypress and Storybook, identifying and resolving issues to improve reliability and user experience.
- Improved interaction responsiveness by implementing optimistic UI updates using React Query, reducing perceived latency by 35%.
- Reduced page load times by 20% introducing aggressive client-side caching with React Query, minimizing redundant network requests.
- Participated in code reviews, sprint ceremonies, and knowledge-sharing sessions, contributing to team alignment and code quality.
- Developed a full-stack, AI website translation application using Next.js (App Router), React, TypeScript, Gemini API and Firebase.
- Improved page load times by 25% by separating static and dynamic content, leveraging Static Site Generation alongside server-side rendering for faster initial loads.
- Implemented user authentication and data storage using Firebase Authentication and Firestore, supporting secure access and reliable data persistence.
- Designed strongly typed Firestore document models to enforce type safety and data consistency within a schema-less database.
- Contributed to the development of an embeddable, CDN-hosted client script that scrapes page content, invokes AI-based translation services, and dynamically injects translated content back into customer websites.
- Cached translated content in Firestore to reduce repeated AI translation calls, lowering API costs and improving content load times.
- Integrated AI-driven translation using Google Gemini to support automated, on-demand website localization.
- Architected the application using a layered approach to separate concerns across presentation, business logic, and data access, improving maintainability and scalability.
- Collaborated with a senior engineer to design, build, and launch the MVP from scratch within a four-month term, rapidly shipping features using a single Next.js codebase with shared server and client logic.
- Leveraged serverless tooling including Next.js App Router, NextAuth, Firebase, and Firestore to enable rapid development and deployment.
- Maintained technical documentation using JSDoc to support onboarding, code clarity, and long-term maintainability.
Software Developer Intern
Sep 2024 - Jan 2025·5 mosToronto, Canada·Hybrid- Developed a full-stack, AI-powered CVE analysis tool using Python, JavaScript, HTML, and Tailwind CSS to streamline vulnerability research, generating AI-assisted summaries and remediation suggestions using LLaMA 3.1–70B.
- Implemented bulk CVE data ingestion by scraping and aggregating information from NIST NVD and CVE Mitre sources for faster retrieval and analysis.
- Researched potential AI integrations and automation workflows for tools used by the Operations team, identifying opportunities to improve efficiency and reduce manual work.
- Built serverless automation using Azure AD app registrations and Microsoft Graph API to provision role-based SharePoint document permissions via OAuth 2.0 client credentials, enabling automated onboarding and access management.
- Performed manual testing from an end-user perspective to identify functional issues and potential cybersecurity vulnerabilities.
- Designed and implemented unit tests using C# (.NET Core, NUnit) and E2E tests using Selenium to validatecore workflows and improve reliability on important government websites.
- Contributed to the development of an AI-driven visual inspection system for vehicle components, supporting defect detection and quality assurance.
- Implemented event-driven, real-time updates using WebSockets and MongoDB Change Streams, enabling instant defect notifications and live visual feedback during inspections.
- Developed a full-stack analytics application using Vue.js, TypeScript, Python, FastAPI, and Docker to monitor inspection results, system performance, and historical accuracy metrics.
- Processed and analyzed AI inspection outputs to surface predictions, confidence scores, acceptance thresholds, and relevant quality metrics.
- Implemented reusable base CRUD routers to standardize API development and improve backend development efficiency.
- Collaborated with cross-functional teams to integrate software components and meet project timelines.
- Worked within an agile development process to manage tasks, iterate on features, and deliver milestones on schedule.
- Implemented integration tests using Postman and integrated them into the CI/CD pipeline using Newman CLI to improve release reliability.
- Contributed to the development of OpsLevel, a internal developer portal that enables engineering teams to manage and streamline their service and infrastructures.
- Built and maintained frontend features using Vue.js and JavaScript, improving usability and responsiveness across core product experiences.
- Implemented backend functionality in Ruby on Rails, designing and consuming GraphQL APIs to support new product features.
- Developed features for the flagship AI Maintenance Agent, enabling automated repository maintenance through AI-driven workflows.
- Integrated with third-party platforms including GitHub, GitLab, and Bitbucket to support AI-powered repository maintenance and improve onboarding flows.
- Investigated and hotfixed production issues reported by customers, prioritizing fixes to maintain platform stability and reliability.
- Wrote unit tests using RSpec and Jest to validate backend and frontend functionality and prevent regressions.
- Collaborated in an agile environment, participating in daily standups, code reviews, and sprint planning with cross-functional teams.
Last updated at