Professional Summary

Senior Backend Engineer with 6+ years of experience specializing in Distributed Systems, cloud-native architecture, and production-grade API design. Bringing deep expertise in building high-scale .NET 8 and TypeScript platforms on Azure/Kubernetes with a focus on performance, security, and automated data pipelines. Currently relocating to Tokyo, Japan and seeking long-term opportunities within international-first engineering teams.

Technical Skills

AI & Data
Azure OpenAIAI SearchAI FoundryVector IndexingPrompt Engineering
Cloud & Platform
Azure AKSAWSGCPPlatform EngineeringKubernetesTerraformBicep
Languages & Frameworks
C#.NET 8TypeScriptGoPythonNestJSReactSpring Boot
Databases
PostgreSQLClickHouseSQL ServerDynamoDB
Security & Architecture
Auth0OAuth2System DesignMicroservicesRBACManaged Identity
Infrastructure & CI/CD
GitHub ActionsData PipelinesHelmNGINX IngressGitOps
Spoken Languages
English (Native)Japanese (Basic - Self-studying for JLPT)

Experience

Open Source & Independent Projects
Senior Software Engineer · Remote / Tokyo
November 2025 – Present
  • Architecting a geospatial search and recommendation engine for dietary-safe dining in Tokyo, utilizing PostGIS and custom ranking algorithms to provide real-time restaurant matches based on complex allergy constraints.
  • Developing high-performance, open-source microservices in Go, focusing on event-driven patterns and low-latency API design for distributed systems.
  • Researching advanced RAG integration within backend services, optimizing data flows between vector databases and application layers for generative AI features.
Eitoss
Senior Software Engineer · Remote
July 2023 – October 2025
  • Led the backend architecture for enterprise generative AI integrations using C# / .NET, designing advanced response streaming protocols that improved perceived latency by 40%.
  • Engineered highly reliable data ingestion and vector indexing pipelines, supporting incremental synchronization and strict data validation for enterprise-scale workloads.
  • Architected a zero-trust cloud security posture, implementing Cloud Identity and Secret Management to achieve a zero-secret configuration across all distributed microservices.
  • Managed scalable Kubernetes infrastructure, implementing zero-downtime deployment strategies and custom autoscaling policies to maintain 99.9% availability during peak traffic.
Foresight Insurance Analytics
Software Engineer · Toronto, Ontario
Nov 2022 – June 2023
  • Engineered critical algorithmic modules using C# / .NET, cutting compute duration by 60% and enabling real-time risk assessment.
  • Hardened full-stack application integration for distributed edge devices, establishing robust hardware validation protocols for field deployments.
  • Managed highly-available containerized workloads, ensuring reliable performance across hybrid edge and multi-cloud environments.
KetteQ
Software Developer · Remote
Feb 2022 – Sept 2022
  • Optimized relational and columnar database schemas, reducing query execution time by 75% for high-velocity analytics dashboards.
  • Architected event-driven microservices using Cloud Functions and Message Queues, implementing robust idempotency patterns for reliable data processing.
Uptake
Software Developer · Toronto, Ontario
July 2021 – Jan 2022
  • Refactored complex database procedures, cutting nightly ETL duration by 45% and improving data freshness for enterprise users.
  • Engineered complex data visualization components within an Angular.js frontend, significantly enhancing reporting capabilities for enterprise users.
HearMeCheer
Software Developer · Toronto, Ontario
Nov 2020 – June 2021
  • Scaled high-throughput media processing servers using Go to handle 500k concurrent streams for live engagement platforms.
  • Standardized internal Developer Experience (DevEx) by architecting comprehensive API specifications, reducing engineering onboarding time by 30%.
Yupp Technology
Software Developer · Toronto, Ontario
Sept 2019 – Aug 2020
  • Architected a resilient Node.js microservice architecture, utilizing message brokers for robust, webhook-driven data ingestion.
  • Deployed and hardened production Kubernetes clusters, establishing end-to-end encryption and secure service-to-service communication.

Education

Bachelor of Computer Science
University of Toronto
Toronto, Ontario