IVAN LEE — TERMINAL

PROFILE 01

NAME:     IVAN LEE CHANG HSIEN
ROLE:     SENIOR DEVELOPER — QUANT DATA
COMPANY:  CRYPTO.COM
LOCATION: SINGAPORE
STATUS:   ● ACTIVE

SUMMARY:
Architecting high-performance data systems
for front-office quants and traders.
Processing ~3M trades/day across Spot,
Options, and Swaps desks.

EDUCATION:
  SMU  — M.Sc. IT in Business (AI) 2022
  SUTD — B.Eng. Eng Product Dev    2017
  MIT  — IAP Exchange              2016

CERTS:
    ☐ AWS Cloud Practitioner
    ☐ AWS Solutions Architect Associate
    ☐ Certified Scrum Master

EXPERIENCE 02

Crypto.com May 2024 — Present

Senior Developer — Quant Data Team

→ Launched AI initiative using Claude SDK + MCP, enabling natural language queries across internal data

→ Scaled real-time PnL & risk systems processing ~3M trades/day via vectorized Pandas + multiprocessing

→ Built ETL pipelines with Airflow & Jenkins transforming raw data into post-trade analytics

PythonClickHouseMongoDBKafkaAirflowFastAPIDockerGrafana

DBS Bank Dec 2022 — May 2024

Machine Learning Engineer — Data Platform

→ Automated model retraining/redeployment, reducing manual intervention by 90%

→ Built backend services + core DB schemas with Python & Django for unified ML platform

→ Implemented GitOps with ArgoCD for Spark jobs on Kubernetes, supporting department-wide model deployments

PythonDjangoKubernetesArgoCDSparkDockerJenkins

DBS Bank Jul 2017 — Dec 2022

Senior Software Engineer — Proprietary Trading

→ Built NLP pipeline for credit sentiment: NER + disambiguation + FinBERT for pricing distressed bonds

→ Led Front Arena upgrade with performance improvements and vendor coordination (Certified Scrum Master)

→ Led migration from on-prem Solaris to Linux VPC, improving stability and maintainability

PythonNLPFinBERTFront ArenaLinuxJenkins

SKILLS MATRIX 03

/// DATA INFRASTRUCTURE

ClickHouse OLAP at scale, query optimization

MongoDB Document store for trade data

Redis Caching & real-time state

Kafka Event streaming pipelines

Airflow Orchestration & ETL

/// ML & AI

Pandas / NumPy Vectorized data processing

NLP / FinBERT Credit sentiment analysis

Claude SDK / MCP AI initiative, natural language data queries

MLOps Automated retraining, ArgoCD, Spark

/// DEVOPS & CLOUD

Docker Containerization

Kubernetes Orchestration at scale

AWS Cloud infrastructure

Jenkins CI/CD pipelines

Grafana Monitoring with Loki, Prometheus

/// LANGUAGES

Python Primary — data, ML, backend

Rust High-performance market data pipelines

SQL ClickHouse, PostgreSQL

TypeScript Frontend & tooling

/// PROJECTS

trading-marketdata-pipeline Rust

hello-rag Python

llm_evaluator Python

REGEN Python

TERMINAL 04

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