Tony Su

Resume

Tony Su

Software engineer building backend systems, data infrastructure, and AI products.

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Experience

Software Engineer

NewsBreak · Mountain View, CA

– Present

  • Built a self-service ClickHouse-backed ad-index snapshot explorer with a streaming Java pipeline and ClickPipes S3 ingestion, reducing query latency from 40 seconds to 300 milliseconds, eliminating JVM out-of-memory failures, and removing an SRE dependency.
  • Instrumented a nine-stage ad-index pipeline with Protobuf, Kafka, and Schema Registry filter logs, enabling self-service analysis of why approximately 97% of ad sets are filtered.
  • Re-architected a Kotlin, S3, MySQL, and MongoDB media-processing pipeline with Grafana monitoring, improving latency by 90% and scaling to more than 2,500 daily tasks while reliably serving 176,000 existing GIF ads.
  • Automated a NetSuite billing workflow, reducing daily data-entry time from eight hours to ten minutes and allowing the accounting team to focus on higher-value analysis.

Software Engineer

OTSO Fintech · Taipei, Taiwan

–

  • Developed five Go and Gin microservices for a social-trading platform with two billion in trading volume, using Azure, Docker, Kubernetes, gRPC, PostgreSQL, and Drone CI/CD.
  • Refactored a trading-performance calculation system with incremental computation and Redis caching, improving response time across 13 REST APIs serving 5,000 trading signals.
  • Led development of a Python and React trading-bot deployment service in collaboration with a five-person engineering, product, and design team.
  • Engineered a Flask backend for quote buffering, trading-bot management, and order execution across three broker exchanges using WebSockets, REST APIs, and multithreading.
  • Designed seven quantitative trading bots using TA-Lib technical indicators and machine-learning models including XGBoost and LightGBM.

Co-Founder and Lead Developer

QuantX · Remote

–

  • Founded an algorithmic-trading startup with monthly trading volume of $800,000 across 2,320 equities.
  • Architected an investment-management service handling more than one million transactions with Python, FastAPI, REST APIs, JWT, and OAuth 2.0; built the dashboard with Figma, React, TypeScript, MUI, and Next.js.
  • Constructed a Docker and GitLab CI/CD deployment pipeline on GCP, reducing deployment time by more than 90% across Compute Engine, Cloud Storage, and Cloud SQL.
  • Built a distributed Apache Airflow, RabbitMQ, and Celery pipeline that processed more than 60 million financial records into MySQL, along with an automated trading program integrating multiple broker APIs.

Software Development Intern

Trend AI · Taipei, Taiwan

–

  • Engineered an LLM-based vulnerability-prioritization workflow using LangChain, GPT-4o, Azure, and Selenium, improving rules creation by 70% and deploying two threat-detection rules across 2.25 million customer edge devices.
  • Developed an AI pull-request review system using GPT-4o, Llama 3 70B, PR-Agent, and GitHub Actions, improving code quality, security, and review efficiency by 75%.

Education

University of Illinois Urbana-Champaign

Master of Computer Science · GPA: 3.9/4.0

–

National Yang Ming Chiao Tung University

B.S. in Computer Science · Cross-Disciplinary Specialty in Financial Technology · GPA: 3.9/4.3

–

Skills

Languages
Java, Go, JavaScript, TypeScript, Kotlin, Python, C/C++, PHP, SQL, HTML/CSS, Lua
Frameworks & data
React, MySQL, PostgreSQL, MongoDB, Kafka, ClickHouse, Flask, Django, Gin, Next.js, Chart.js, Tailwind CSS, PyTorch, SQLite, Neo4j, Redis, Apache Airflow, RabbitMQ, Celery
Platforms & tools
Claude Code, Codex, Grafana, Prometheus, Protobuf, Git, Kubernetes, Docker, Jenkins, Jira, Postman, Azure, GCP, AWS, Heroku, Figma, Selenium