Open to Work — AI & Engineering Roles | Original
Note: This post is intended for friends and connections outside my current workplace. If you are a colleague or manager from my current employer, please kindly ignore this post.
Hi, I’m Zhiwei.
I’m a software engineer with 12 years of experience spanning iOS, Android, frontend, backend, and AI. I’ve worked across live-streaming startups, cloud computing platforms, China internet products, and financial systems at Singapore and Hong Kong banks. I’m actively moving into AI engineering — training GPT-2 with nanoGPT on H200 GPUs, consuming ~1 billion tokens via LLM APIs, building personal agents and automation tools, and running 20+ active agent sessions daily. I ranked top 6% in AI assistant usage globally at my current employer. I want a role where AI, agents, and LLM work are the main job — not a side project.
📌 Highlights
- 12 years of engineering experience across iOS, Android, frontend, backend, and AI
- Worked across diverse domains: live-streaming startup, cloud computing startup, China internet products, and financial systems / digital banking apps of Singapore & Hong Kong
- Born 1995, Chinese citizen, based in Guangzhou; IELTS 6.5 (Reading 8.5)
- Enrolled at Beijing Forestry University (2013–2014), dropped out; pursuing Associate Degree via self-study — 13 of 17 courses passed
- 2011 NOIP Guangdong province, top 300 provincially; 1st prize (Guangzhou round), advanced to provincial round
- Founded Fun Live (live-streaming app, 30,000 users) and Square Root Technology; reached 3M CNY revenue with 600K CNY profit in 2018
- Received a job offer of ~384,000 CNY/year (~32K/month) around 2023, without a bachelor’s degree
- 10+ open-source GitHub projects (500+ commits each); ~400 technical blog posts; ~8,000 AI answer notes
- Training GPT-2 124M with nanoGPT on H200 GPU; ~1 billion tokens consumed via OpenRouter & other LLM providers in the past year
- Built ww (CLI toolkit), iclaw (AI coding REPL for enterprise environments), and zz (dataset processing & training utilities for ML projects)
- Self-taught researcher — 3 papers on natural vision restoration; reversed myopia 350 → 250 diopters over 3 years
🔍 Why I’m Looking
I’m currently employed with strong performance — top 20% among contractors at my vendor, and top 6% in AI assistant usage globally at my employer. My primary motivation for looking is compensation improvement. My current package is below where I’d like to be, and I want a role that better reflects my experience and output.
The bank has a contractor-to-permanent conversion policy, but slots are limited and another peer is also in the queue. Progression within my current group is slow despite my best efforts and expressed interest in converting. Looking externally is the more realistic path forward.
Full-stack and backend roles are welcome. My preference is for positions where AI, agents, or LLM work are central — I’ve been deeply invested in this space outside of work hours and want a role that matches that direction.
🏢 Work Experience
| Company | Role | Period |
|---|---|---|
| Global IT firm → Global UK bank (contractor) | Backend Engineer | 2025.02 – Present |
| Freelancer | ML & AI Projects | 2023.08 – 2025.01 |
| Farben Information (outsourced to HSBC PayMe) | Backend Engineer | 2022.11 – 2023.07 |
| Beyondsoft (outsourced to DBS Bank) | Backend Engineer | 2021.12 – 2022.11 |
| Freelancer | Full Stack & Consulting | 2020.01 – 2021.11 |
| Square Root Technology (Fun Live app) | Founder & Full Stack Engineer | 2016.07 – 2019.12 |
| CodeReview.cn | Co-founder & Full Stack Engineer | 2015.11 – 2016.07 |
| LeanCloud | Software Engineer | 2014.07 – 2015.11 |
🎓 Education
| School | Major | Period |
|---|---|---|
| Guangdong University of Foreign Studies | Computer Application, Associate Degree (Self-study, 13/17 courses passed) | 2022.10 – Present |
| Beijing Forestry University | Digital Media Arts, Bachelor (Dropout) | 2013.09 – 2014.06 |
| Guangzhou Yuyan Middle School | Science Track | 2007.07 – 2013.06 |
💼 Roles I am open to
I am flexible and open to multiple engineering directions:
- AI Engineer (Applied LLM / NLP / AI systems)
- Machine Learning Engineer (Python / LLM / data-driven systems)
- Backend Engineer (AI-related systems or platform engineering)
- Full-Stack Engineer (AI product integration / SaaS platforms)
- Distributed Systems / Platform Engineer (AI infrastructure)
- Full-Stack Java Engineer (Global Banks / Financial Systems)
- Senior Software Engineer (IC track, any of the above domains)
- Staff Engineer (technical leadership, cross-team scope)
- Tech Lead (half-lead, half-hands-on; previously managed 4 FTEs and ~20 part-time contractors at my startup)
- Member of Technical Staff (MTS) — individual contributor at any level
- Early Founding Member / Founding Engineer at an AI-focused startup
I am not limited to pure research roles — I focus on building real systems and shipping products.
🏢 Work Arrangement
Open to:
- Full-time permanent roles
- Contract
- Startup environments (fast iteration, product ownership)
- Large enterprises / big tech companies
🌍 Location Flexibility
- Shenzhen / Guangzhou — preferred; open to 5 days/week onsite
- Other cities in China — open to 2–3 days/week in office
- Hong Kong — open, but would require work visa sponsorship
- Singapore — open, but would require work visa sponsorship
- Remote — open, global teams welcome
💰 Compensation Expectation
Flexible depending on scope, responsibility, and growth potential.
- 🇨🇳 Mainland China: 30,000 – 45,000 CNY/month
- 🇭🇰 Hong Kong: ~40,000 HKD/month or above
- 🇸🇬 Singapore: ~9,000 SGD/month or above
🧠 Technical Background
- Strong backend engineering: Java, Spring Boot, distributed systems, microservices
- Full-stack development: Vue / React / Angular / frontend + backend integration
- Cloud platforms: AWS / Azure / Alibaba Cloud
- Databases & infrastructure: MySQL, Redis, logging, monitoring systems
- API systems and large-scale service design
- Hands-on LLM experimentation (nanoGPT, small model training, prompt + API systems)
- AI application development using LLM APIs
🌐 Language Ability
- Mandarin Chinese (native)
- English (IELTS 6.5, professional working proficiency)
- Cantonese (conversational)
- Comfortable working in both English and Chinese environments
🏅 Certificates
- IELTS Academics, Score 6.5
- Machine Learning Specialization — DeepLearning.AI & Stanford University
- Deep Learning Specialization — DeepLearning.AI
- Developing on AWS — AWS Training
- Beijing Forestry University Dropout Certificate
- China Higher Education Official Report (Bachelor, Dropout Status)
- GitHub: https://github.com/lzwjava
- Blog: https://lzwjava.github.io
- Portfolio: https://lzwjava.github.io/portfolio-en
I’m open to discussing any roles where AI, systems engineering, and real product development intersect.