# Hao Wu

> Senior Backend Architect & Technical Consultant | FinTech (Quant) & GenAI Pipelines (private-cloud LLM/SD) | Node.js/Python/AWS | Legacy Modernization | Contract/Fractional

Location: Portland, Oregon, United States
Profile: https://flows.cv/haowu1

I serve as a 𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗧𝗢 & 𝗦𝗲𝗻𝗶𝗼𝗿 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 for lean, growth-stage teams.

With 𝟭𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (operating 𝟭𝟬𝟬% 𝗿𝗲𝗺𝗼𝘁𝗲𝗹𝘆 𝘀𝗶𝗻𝗰𝗲 𝟮𝟬𝟭𝟴), I specialize in two things: 𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘇𝗶𝗻𝗴 𝗰𝗵𝗮𝗼𝘁𝗶𝗰 𝗹𝗲𝗴𝗮𝗰𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 and 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜/𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. I don't just write code; I deliver finished, deployed capabilities without the need for management overhead.

𝗪𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺:

🔹 𝗟𝗲𝗴𝗮𝗰𝘆 𝗪𝗵𝗶𝘀𝗽𝗲𝗿𝗲𝗿: I thrive where others panic. Comfortable diving into undocumented Node.js/Python monoliths, upgrading outdated dependencies (AWS SDK v2->v3), and refactoring for stability without breaking business logic.

🔹 𝗚𝗲𝗻𝗔𝗜 & 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗼𝗿: Beyond maintenance, I build forward-looking infrastructure. From private-cloud 𝗟𝗟𝗠/𝗖𝗼𝗺𝗳𝘆𝗨𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 for automated content creation to 𝗤𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝘀 for trading strategies.

🔹 𝗖𝗹𝗼𝘂𝗱 𝗙𝗶𝗻𝗢𝗽𝘀 𝗣𝗿𝗮𝗴𝗺𝗮𝘁𝗶𝘀𝘁: Expert in AWS (Serverless/Lambda) cost optimization. I have a track record of cutting infrastructure bills while improving performance.

🔹 𝗔𝘀𝘆𝗻𝗰-𝗙𝗶𝗿𝘀𝘁 𝗡𝗮𝘁𝗶𝘃𝗲: A veteran remote engineer. I excel in documentation-driven development and asynchronous communication, delivering results across time zones without constant meetings.

𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗙𝗼𝗰𝘂𝘀:
Open to 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁 (𝟭𝟬𝟵𝟵) / 𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 roles.
Looking for long-term partnerships with small, high-impact teams.
🇺🇸 𝗨𝗦 𝗕𝗮𝘀𝗲𝗱 (𝗨𝗦 𝗖𝗶𝘁𝗶𝘇𝗲𝗻) - No Visa Sponsorship Needed.

𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸:
• 𝗖𝗼𝗿𝗲: Python, Node.js, TypeScript, Django, PostgreSQL.
• 𝗖𝗹𝗼𝘂𝗱: AWS (Lambda, DynamoDB, API Gateway), Kubernetes (K8s), Docker.
• 𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴: private-cloud LLMs, Stable Diffusion (ComfyUI), LoRA Training, Quant Libs (Pandas/NumPy).

📩 𝗖𝗼𝗻𝘁𝗮𝗰𝘁: haowu0802@gmail.com

## Work Experience
### Independent Technical Consultant @ Unknown
Jan 2025 – Present
Acting as a Fractional CTO and Lead Engineer, delivering production-grade solutions in Quantitative Finance and Multimodal Generative AI pipelines.

🚀 𝗤𝗨𝗔𝗡𝗧𝗜𝗧𝗔𝗧𝗜𝗩𝗘 𝗙𝗜𝗡𝗔𝗡𝗖𝗘 𝗦𝗬𝗦𝗧𝗘𝗠 (𝗣𝘆𝘁𝗵𝗼𝗻/𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴)

• Engineered a standalone 𝗖𝗼𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗘𝗻𝗴𝗶𝗻𝗲 for pairs trading strategies, focusing on robustness and production deployment rather than ad-hoc scripts. 

• Implemented rigorous statistical tests (ADF, CADF) within a modular Python codebase for high-performance backtesting and signal generation. 

• Tech Stack: Python, NumPy, Statsmodels, Time-Series Analysis.

🚀 𝗦𝗘𝗟𝗙-𝗛𝗢𝗦𝗧𝗘𝗗 𝗚𝗘𝗡-𝗔𝗜 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 & 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡

• Architected a 𝗰𝗼𝘀𝘁-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁, 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗰𝗹𝗼𝘂𝗱 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲 for a content production studio. Migrated workflows from expensive public APIs to self-hosted, optimized open-source models, ensuring 100% data sovereignty and reducing operational costs.

• 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗟𝗟𝗠 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲: Deployed optimized open-weights models (Qwen-3) on GPU instances as a secure alternative to GPT-4. Engineered a 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗣𝗜 to drive automated script generation and roleplay simulation.

• 𝗛𝗲𝗮𝗱𝗹𝗲𝘀𝘀 𝗖𝗼𝗺𝗳𝘆𝗨𝗜 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Engineered a scalable image generation service by wrapping complex ComfyUI workflows into 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀. This enabled the remote production team to trigger consistent character generation programmatically without managing node graphs.

• 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗔𝘀𝘀𝗲𝘁 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Integrated 𝗖𝗼𝘇𝘆𝗩𝗼𝗶𝗰𝗲 for high-fidelity TTS and utilized 𝗢𝗻𝗲𝗧𝗿𝗮𝗶𝗻𝗲𝗿 to manage remote LoRA fine-tuning jobs, ensuring strict IP consistency across distributed workflows.

• Tech Stack: Cloud GPU Inference (RunPod/AWS), Headless ComfyUI, API Design, Docker, Python, vLLM/Ollama.

### Senior Software Engineer @ Fictiv
Jan 2022 – Jan 2025 | Portland, Oregon, United States
Monolith Decomposition: Decoupled a legacy TypeScript/Node.js GraphQL monolith into independent AWS Lambda microservices, designing robust database schemas to support the new distributed architecture.

Technical Design: Authored detailed Technical Design Docs (TDDs) for major business features, establishing engineering standards and reducing implementation risks for the team.

Performance Optimization: Led/Executed company-wide AWS SDK v2 to v3 migration, utilizing modular imports to reduce Lambda bundle size and cold-start latency.

Production Stability: Diagnosed and resolved critical production issues via deep log analysis and monitoring (CloudWatch), ensuring high availability for the platform.

### Director of Web Services @ Archimedes Digital
Jan 2018 – Jan 2021 | Greater Seattle Area
Infrastructure Consolidation: Migrated 30+ disparate applications into a centralized Kubernetes (K8s) cluster, significantly reducing cloud hosting costs and operational overhead.

DevOps Automation: Containerized (Docker) the entire application portfolio and implemented robust CI/CD pipelines, enabling one-click deployments for the distributed global team.

Strategic Re-platforming: Led the backend migration from Node.js to Python/Django, leveraging Django's built-in admin features to accelerate development cycles and reduce long-term maintenance costs.

Polyglot Development: Refactored and optimized performance-critical microservices using Go (Golang), integrating them seamlessly into the core architecture.

### Senior Software Engineer @ Archimedes Digital
Jan 2018 – Jan 2018

### Senior Software Engineer @ Huawei Technologies
Jan 2017 – Jan 2018 | Greater Seattle Area
Backend development/architecture
Data pipeline development/architecture

### Software Engineer Lead / Co-Founder @ The Skill Panel
Jan 2017 – Jan 2018 | Greater Seattle Area
Co-founded The Skill Panel, a web application for tracking and sharing skill progression.
+ Build backend and APIs
+ Design, implement skill popularity ranking functions

### Data Engineer @ Branded Entertainment Network (Corbis)
Jan 2016 – Jan 2016 | Greater Seattle Area
+ ETL: Extract and transform TV show airing data from multiple data warehouses and load into MongoDB and PostgreSQL for further analysis.
+ Airflow Data Pipeline: Write Directed Acyclic Graphs, Pipeline the ETL processes, visualize the status of each process and provide features such as ad hoc task runs of scheduled directed acyclic graph instances. Write Docker-py plug-in and non-backfilling feature.
+ Data Analysis: With Python data science library such as Pandas, Scikit-learn, run models including linear regression, random forest, etc. to predict the brand preference of audience.
+ Data Visualization: With C3js, plot interactive charts and tables for the data and use Matplotlib to plot the clusters of behavior/preferences extracted from audience data.

### Senior Software Engineer @ ZANADU
Jan 2014 – Jan 2016 | Beijing City, China
+ Web scraping: Scrapy framework
|-- Scraping and building a dynamic pricing BI system that helps the team to visualize the changes of price and make marketing decisions accordingly
|-- Find flaws in competitor's anti-scraping methods to scrape their price list.
+ Web development
|-- Design, Spec, Coding according to requirement
|-- Guide the user to understand their needs and point out the efficient direction to implement the features

### Backend Developer @ E Commerce China Dangdang Inc
Jan 2011 – Jan 2014 | Beijing
+ Built API access data dashboard for identifying events that affects UV/PV.
+ Developed a modularized configuration system to reduce the time cost for deployment configuration and version controlling production configuration.
+ Introduced zookeeper methodology from apache Storm distributed system to solve the problem of incomplete cronjob script data due to timeout interruptions.

### Web Developer @ University of Pittsburgh
Jan 2010 – Jan 2011 | Greater Pittsburgh Area
Recommended by Dr. Marai of Dept. Computer Science to work for Dept. Health and Science as a part-time web developer.
Developed online survey with PHP.


## Education
### Bachelor of Science (B.S.) in Computer Science
University of Pittsburgh
Jan 2005 – Jan 2010

### Asian Studies Certificate in Asian Studies/Civilization
University of Pittsburgh
Jan 2007 – Jan 2010

### Computer Software Engineering
Udacity
Jan 2016 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/haowu0802

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Source: https://flows.cv/haowu1
JSON Resume: https://flows.cv/haowu1/resume.json
Last updated: 2026-03-22