StackRadar is a job-market analytics platform that identifies the most in-demand tech stacks in New Zealand based on real job postings. The motivation behind this platform is that, as a programming student, i realized that the tech skills i learned at Lincoln University aren't widely used in the industry(Flask, Bootstrap, PythonAnywhere, etc), which make me think i needed to learn more beyond the coursework. Then I searched for the most popular tech skills worth learning in New Zealand, I found some results, but none of them seemed convincing and reliable enough. So, I decided to find the answer myself by analysing the frequency of tech-related keywords in real job postings. the logic is simple: the most frequently mentioned teck skills are the ones actually in demand, and therefore the ones I should be learning. Besides ranking the most popular tech skills from real job postings, I added other features that I believe are useful for job searching — such as filtering jobs by the tech skills users have, since tech-stack matching is often a key factor in developer job searches. For those of you who might be interested in the actual tech stack I used to build StackRadar, Here they are: · Frontend: Javascript, HTML, Tailwind CSS(The Frontend part will be rewritten in React in the near future) · Backend: C# with ASP.NET Core Web API (RESTful architecture) · Data Collection: Python + Requests + BeautifulSoup · Cloud Platform: Microsoft Azure (App Service, Static Web App, PostgreSQL Flexible Server) · Database: Postgresql GitHub Repo : https://github.com/jwqiu/StackTrends.com.git Junwen

Hi, there: I’m Junwen — a master’s graduate in Applied Computing from Lincoln University (November 2025). I’m currently open to developer and software engineering roles, including internships, part-time, contract, and full-time positions. Here is a brief overview of my Tech Stack: · Frontend: React, JavaScript, Tailwind CSS, Bootstrap, HTML/CSS · Backend & Databases: ASP.NET Core Web API, Flask, PostgreSQL, MySQL, RESTful API design · AI / ML: PyTorch, TensorFlow, YOLOv8, CNN, OpenCV, Sentence Transformers, Text Embeddings · Cloud & Tools: Azure, GitHub Actions, GitHub Pages, Git · Languages: C#, Python, JavaScript I bring hands-on experience in full-stack development, as well as applying AI to real-world problems in computer vision (YOLOv8, CNN) and NLP (text embeddings, classification). Beyond the technical side, what truly sets me apart is my 9 years of experience as a product manager, including 6 years at Tencent, where I developed strong skills in product thinking, UI/UX design, and cross-functional collaboration. This combination of product + design + engineering enables me to take ideas from concept to fully functional products — effectively working as a one-person product and engineering team. If you'd like to know more about me, feel free to check out my LinkedIn profile or reach out to me via email: jwqiu1111@gmail.com Looking forward to connecting with you! Junwen