AI, React, Next.js, FastAPI, front end, back end, PLM

Department: HOT HK
Salary: 32k HKD per month

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RECRUITER SUMMARY

HOT HK IT Infrastructure, React Next.js FastAPI AI full stack PLM, 32k HKD per month

06/05/2026

Candidate Background

Nationality:
Chinese
Residence:
HongKong
Education:
Bachelor of Science in Physics
Languages:
English – Fluent
Experience:
5 years of experience in the industryCurrent & Previous Employers and jobs include: Senior Software Engineer at XXXX Software Engineer at XXXX Software Engineer at XXXX
Motives:
Is actively looking for a job. Open for Web Development or Full Stack or Software Engineer or AI Engineering roles in Hong Kong
Current Salary:
29k HKD per month
Expected Salary:
32k HKD per month
Notice Period:
1 Month
Interview Availability:
Requires a day of notice

Interview Assessment Notes

1.       Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?

She is a software engineer with 5 years of experience. Currently, she is a Senior Software Engineer at XXXX, where she serves as a key architect in the Sourcing Automation department, bridging the gap between modern digital standards and traditional manufacturing workflows. She designs and deploys automation pipelines that synchronize critical data between internal sourcing teams and global factory suppliers. She also manages high-stakes data exchange, ensuring strict multi-tenant security and isolation so that proprietary factory information remains confidential during synchronization. And she replaces fragmented legacy systems (spreadsheets and email) with robust, maintainable automated solutions, significantly reducing operational overhead. Before this, she worked as a freelance and part-time at XXXX, where she acted as the primary technical force behind an AI-assisted career coaching platform, taking the project from inception to a fully functional product. She handled the end-to-end design and development of the system using Next.js, creating a platform that utilized AI to provide personalized career advice. She demonstrated elite development speed by revamping the company’s marketing site in just 1–2 days, utilizing AI-assisted coding and design tools to bypass costly, non-user-friendly platforms like Wix. And owned the entire lifecycle of the product, from the underlying database architecture to the user interface. She transitioned from a Physics graduate to a technical lead by mastering front-end development and VM management, eventually designing full-stack applications for students and faculty at one of Hong Kong’s premier research universities.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?  

Strongest skills would be back end, front end and AI. She is expert at applying industry-standard patterns to create codebases that are modular, readable, and easy for teams to maintain over long-term lifecycles. She excels at Specification-Driven Development, where she designs precise technical specs that are then used to guide AI in generating robust, functional code. This methodology ensures that AI-generated output remains aligned with strict architectural standards. And coming from a frontend-heavy background, she ensures that complex backend logic is translated into high-performance, user-friendly interfaces.

3.       Do you have the lists of key criteria’s according to the clients’ requirements?

She is a software engineer with 5 years of experience. She is expert in the required stack, with deep experience in React, Next.js, and Python (FastAPI). She also has experience with Astro.js for high-performance frontend revamps. She spearheaded the development of an AI-driven career coaching application, owning the product end-to-end from frontend to backend APIs. In her role at XXXX, she managed tracking systems for ~100+ users and developed Python-based automation tools to synchronize complex data between internal teams and global factories. She has demonstrated high autonomy in monitoring logs and diagnosing anomalies in OpenShift environments, including resolving memory issues without explicit error messages. Moreover, she integrated style and colorway tracking systems with PLM and built notification systems to streamline global communications. And engineered an AI interview system and led a student team to deliver the project to potential investors.

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