Corporate projects
Commerce, logistics, Web3, and AR/VR systems I shipped as CTO or Lead Developer.
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Three clear layers: commercial corporate systems, a personal Engineering Lab, and technical cases that solve specific problems.
Engineering Lab
Personal experiments where I stress-test .NET, microservices, and distributed-system patterns.
Open the labTechnical case studies
Not full project summaries — deep dives into specific production problems such as capture vs finalization.
View case studiesCorporate projects
View corporate projects
3 case studies
Corporate project
Kayra Export: マーケットプレイスおよび電子商取引プラットフォーム (CTO)
私は CTO として、電子商取引とマーケットプレイスの変革を管理しました。 .NET マイクロサービス + CQRS アーキテクチャを構築し、AWS 上でスケールしました。私は、決済/統合および人工知能をサポートするモジュールを備えたマルチチャネルコマースインフラストラクチャを製品化しました。
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7 case studies
Corporate project
ABC Logistics: リアルタイム GIS 追跡プラットフォーム
私はリード開発者として、マイクロフロントエンドベースの運用監視製品を開発しました。 GIS とリアルタイムの車両追跡フローをスケーラブルにすることで、モジュール式の物流管理を 1 つのプラットフォームに統合しました。
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4 case studies
Corporate project
ベアクリプト: NFT マーケットプレイス マイニング DApp
私はリード開発者として、Solidity ベースの NFT ミント エンジン、IPFS 資産管理、および React + Web3.js を備えたウォレット対応マーケットプレイス DApp を開発しました。
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Corporate project
Rapid Render: リアルタイム 3D 製品コンフィギュレーター
Sugar Technology では、Unity + V-Ray ベースの Rapid Render 用のハイブリッド リアルタイム/オフライン レンダリング エンジンと glTF/Draco アセット パイプラインを開発しました。 WebGL のパフォーマンスとフォトリアルな出力品質を最適化しました。
Explore projectTechnical case studies
View case studies From Kayra Export Performance treated as separate from product UX
Web Performance Engineering in the Age of AI
A 13-part engineering series on treating loading, responsiveness, and stability as product features—and protecting user-perceived performance under marketplace scale and AI workloads.
Start the 13-part performance series From Kayra Export Capture is easy; finalization is hard
Distributed Payment Engine
How I closed the gap between capture and complete in a checkout payment engine with outbox, inbox, reconciliation, and effectively-once defenses.
Read the 22-part technical case study From Kayra Export When a shared CRUD model breaks under growth
CQRS (Command Query Responsibility Segregation) — Anatomy of Decisions
Command/query separation, outbox, and production recovery when orders, stock, and reporting can no longer share one model.
Start the CQRS series From ABC Logistics One panel does not scale; independent deploys do
Logistics Micro Frontend Platform (Module Federation)
How I split a logistics ops surface with Module Federation into a shell, auth remote, and feature remotes to shrink blast radius.
Read the 10-part MFE (Module Federation) case study From ABC Logistics Is the vehicle waiting — or is the record?
Fleet Wait Geofence
How I built waiting truth on the map from a telematics feed and configurable circle geofences (km_metric).
Read the 8-part geofence case study From ABC Logistics Partner capacity is not CRUD (Create, Read, Update, Delete)
Partner Ferry Booking Desk
How I built a ferry booking desk with ticket lifecycles, discount workflows, and a booking remote that embeds in a shell and runs standalone.
Read the 8-part booking case study From ABC Logistics Map, CMS (Content Management System), and notifications share one ops truth
Logistics Ops Control Plane
How I kept map-first expeditions, CMS-like content, push admin, and an ERP edge on a deliberate control plane beside the MFE (Module Federation) estate.
Read the 8-part control plane case study From ABC Logistics ERP (Enterprise Resource Planning) MySQL is not an analytics store
Logistics Polyglot Data Platform
How I cleansed internal-ERP MySQL into PostGIS, used MongoDB for telemetry and Elasticsearch for ops search across multi-node clusters, and served clean reads to frontends.
Read the 10-part data platform case study From ABC Logistics Recommended route ≠ driver preference
Fleet Route Intelligence ML (Machine Learning)
How I used EDA (Exploratory Data Analysis), scikit-learn/PyTorch, OSRM (Open Source Routing Machine), and foundation-model APIs to measure wait hotspots, km extension, fuel waste, and delay — then served them to the map UI.
Read the 10-part route intelligence case study From ABC Logistics A notebook is not an API; pipelines need security
Logistics Django API (Application Programming Interface) & Delivery
How I bound a Django analysis API to MFE (Module Federation)/control-plane contracts, shipped via self-hosted GitLab CE → EC2, and embedded continuous ProjectDiscovery-style scanning in delivery.
Read the 8-part API & delivery case studyClarify your project and technical priorities.
In an initial conversation, I review the context, technical risks, and the most meaningful next step for you.
Independent technical guidance aligned with business goals.