OPEN TO WORK STRATEGY R&D ENGINEER — FINTECH · MARKET DATA · QUANT

羅世晏 LO SHIH-YEN

Building a real-time market-data platform that sustains 16,000 msg/s.
Fintech × event-driven architecture × quant products — full-stack, from data pipeline to app.

View Projects → [email protected] GitHub ↗

※ The terminal is an illustrative animation with simulated data. The architecture and technologies it depicts — Redis Streams batch consumption, hot/cold tiering, WebSocket push, TimescaleDB — are all drawn from a real project.

0 msg/s peak throughput
0 ×10⁸ rows persisted / day
0 ×10⁸+ rows archived, cumulative
// 01

About ABOUT

I'm a Strategy R&D engineer focused on fintech, trading-data platforms and quant-product backends, with hands-on experience across high-throughput backend systems, event-driven architecture, real-time data processing and financial-product development.

I currently own the real-time market-data, historical-data and backtesting infrastructure for TW and US equities: using Python, FastAPI, Redis Streams, PostgreSQL / TimescaleDB and Docker to build a Market Data Platform supporting high-frequency streams, live snapshots, historical export and hot/cold data tiering.

My career began in backend systems and bespoke project delivery — third-party payment integration, government tenders, blockchain arbitrage trading systems — building end-to-end capability from requirements to system design, data modeling, backend development and deployment/ops, with an engineering mindset centered on data consistency, maintainability, performance and long-term extensibility. I've led a 5–8 person backend team building a group ERP microservice suite, integrating a RabbitMQ cluster, planning database architecture and training interns.

In 2025 my ML + generative-AI financial anti-fraud solution won the Taishin Financial Holdings group Merit Award at the "Cloud Surge: Taiwan Generative-AI Application Hackathon." I keep investing in financial data engineering, quant-research infrastructure and AI applications in finance.

BASE
Taipei, Taiwan · remote-friendly
ROLE
Software Engineer / Backend Engineer
EXP
3–4 yrs · fintech / systems integration
EDU
National Taipei University of Business — MISEvening bachelor program · 2025–2027
STACK
Python · C# · FastAPI · .NETTimescaleDB · Redis · RabbitMQ · Docker
FOCUS
Market-data platform · Quant strategy · Investment products
// 02

Experience EXPERIENCE

2025.11 — PRESENT NOW

Strategy R&D Engineer

Draco Evolution Technology (Taiwan Branch) · Taipei Xinyi

  • Solo-designed and built a TW / US real-time market-data platform (FastAPI + Vue 3 + dual TimescaleDB + Redis Streams): sustained peak throughput above 16,000 msg/s, 174M rows persisted per day, gzip hot-to-cold archival to NAS totaling 1.2B+ rows.
  • Researched TAIEX options and US-equity quant trading strategies.
  • Full-stack development of the investing app "Market Weather": real-time Market Regime, WebSocket push, Redis cache-first fail-open, tiered-subscription paywall.
PythonFastAPITimescaleDBRedis StreamsVue 3React Native
2025.03 — 2025.11

Senior Engineer led a 5–8 person backend team

Hongming Enterprise Co. (computer-hardware mfg, 500+) · Taipei Xinyi

  • Owned architecture planning, dev scheduling, technical decisions and cross-department coordination for the group ERP microservices.
  • Led core modules — product, warehouse, personnel/permissions — and designed shared backend services and libraries to cut duplicate work.
  • Integrated a RabbitMQ cluster for async messaging, event notification and decoupling; owned database schema, indexing strategy and normalization.
  • Designed and taught a C# backend training course: materials, hands-on labs, code review and on-the-job onboarding.
C#ASP.NETRabbitMQMSSQLAzureDocker
2023.08 — 2025.03

Senior Engineer

Intersense Systems Integration · Taipei Xinyi

  • Maintained and developed blockchain arbitrage and strategy-based trading systems: real-time data feeds, trading logic, order flow and data consistency.
  • Delivered multiple government tenders and enterprise projects end-to-end: requirements → system design → data modeling → production ops.
  • Led database schema planning and performance tuning; evaluated MySQL / MongoDB storage; built Docker deployments and AWS cloud environments.
C#PythonASP.NETMySQLMongoDBAWS
2022.10 — 2023.05

.NET Developer

Gamania — Mowei Digital Technology · Taipei Nangang

  • Maintained a third-party payment platform; built balance-transfer, risk-control and the FunPoint member-frontend rebuild.
ASP.NETC#MSSQLJavaScript
// 03

Projects PROJECTS

P-01 IN PRODUCTION

Cross-Market Real-Time Market Data Platform Market Data Platform

A solo-built collection and historical-backtest platform for TW / US equities. An event-driven pipeline decouples ingest from persistence, normalizing three feeds — Sinopac Shioaji, Massive WS/REST and FinMind — into a unified MarketEvent.

Feed Ingest3 SOURCES▸▸ Redis StreamsEVENT BUS▸▸ Consumer GroupBATCH = 4000▸▸ TimescaleDB ×2HOT / COLD▸▸ NAS Cold StoreGZIP · 1.2B+
16,000msg/speak throughput
174M rows/daysingle trading day
372GBhot data, live query
8workersalways-on · auto-alert
Python 3 / FastAPIVue 3 + TS + PiniaPostgreSQL 16TimescaleDBRedis StreamsDocker ComposeX-API-Key deny-by-default
P-02ONGOING

Investing Mobile App Market Weather

Full-stack retail investing app (iOS / Android / Web): real-time Market Regime sentiment, WebSocket relay + Redis cache-first (fail-open), intraday session / EOD anchor, tiered-subscription paywall and RBAC content admin — delivered across Backend / RN / Admin.

FastAPI + SQLAlchemy 2.0React Native / Expo 54React 19PostgreSQLRedisnginx
P-03DELIVERED

Group ERP Microservices ERP Microservices

Introduced a modular microservice architecture supporting QC, warehouse and personnel management across business units; built a RabbitMQ cluster with retry / compensation to guarantee reliable delivery of critical events under high concurrency; institutionalized code review and shared-library management.

C# / ASP.NETRabbitMQ ClusterMSSQLDocker
P-04DELIVERED

Blockchain Arbitrage Trading Platform Crypto Arbitrage

Maintenance and new-feature development for a platform running automated crypto strategies (mainly DCA); system architecture and data-flow design, strategy-module DB schema, core logic in C# (ASP.NET Core) and Python.

C# ASP.NET CorePythonMySQLMongoDB
// 04

Tech Stack TECH STACK

λLANGUAGES

PythonC# / .NETTypeScriptJavaScriptSQL

⚙BACKEND

FastAPIASP.NET CoreSQLAlchemy 2.0EF Core / DapperWebSocketxUnit / pytest

◫DATA / STORAGE

PostgreSQL / TimescaleDBRedis / Redis StreamsMSSQLMySQLMongoDB

▣INFRA / MESSAGING

Docker / ComposeRabbitMQAWSnginxLinuxGit / CI

◔FRONTEND

Vue 3 + PiniaReact 19React Native / ExpoVite

∿DOMAIN

Real-time market pipelineQuant strategy R&DBacktest infrastructurePayments / fintechGenerative-AI apps
// 05

Awards AWARDS

HACKATHON · 2025

Cloud Surge: Taiwan Generative-AI Application Hackathon — Taishin FHC track Merit Award

An anti-fraud solution for finance combining ML models with generative AI to surface risk signals and provide explainable recommendation flows. Owned system design, data processing, model integration and product demo.

DIGITIMES Team "Otter Coding" builds an AI financial-fraud detection system 2025.05.26 · Press coverage ↗
SkillTreeK8s from zero to clarity · 7hr
SkillTreeDesign Patterns showdown · 21hr
SkillTreeSQL Server high-performance dev · 14hr
UPCOMING2026/8 Smart-Trading Hackathon (competing)
// 06 — CONTACT

Let's talk
Market data, quant systems, or any hardcore backend problem.

[email protected]↗ github.com/LoShinYen↗
Taipei · open to remote/ Software / Backend Engineer/ available within 1 month