Hi there! I’m Jinghuan Wang, a passionate full stack developer focused on building cloud-native web applications on AWS. I design, build, and deploy scalable solutions using React, Next.js, Node.js, and TypeScript, with a strong emphasis on CI/CD, infrastructure as code, and AI integration. I hold a PhD in Molecular Biology, which fuels my critical thinking, analytical skills, and a scientific approach to problem solving. I’m a Finnish citizen eligible to work in the EU. I enjoy collaborating on challenging projects and bringing rigorous engineering practices to life in fast-paced environments.

Jinghuan Wang

Hi there! I’m Jinghuan Wang, a passionate full stack developer focused on building cloud-native web applications on AWS. I design, build, and deploy scalable solutions using React, Next.js, Node.js, and TypeScript, with a strong emphasis on CI/CD, infrastructure as code, and AI integration. I hold a PhD in Molecular Biology, which fuels my critical thinking, analytical skills, and a scientific approach to problem solving. I’m a Finnish citizen eligible to work in the EU. I enjoy collaborating on challenging projects and bringing rigorous engineering practices to life in fast-paced environments.

Available to hire

Hi there! I’m Jinghuan Wang, a passionate full stack developer focused on building cloud-native web applications on AWS. I design, build, and deploy scalable solutions using React, Next.js, Node.js, and TypeScript, with a strong emphasis on CI/CD, infrastructure as code, and AI integration. I hold a PhD in Molecular Biology, which fuels my critical thinking, analytical skills, and a scientific approach to problem solving.

I’m a Finnish citizen eligible to work in the EU. I enjoy collaborating on challenging projects and bringing rigorous engineering practices to life in fast-paced environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Finnish
Intermediate
Chinese
Fluent

Work Experience

Full Stack Developer (Freelance) at Mood Melody App
July 1, 2023 - Present
Built a full-stack cloud-native AI application using React, Next.js, Node.js, and TypeScript; deployed frontend and backend on AWS Lambda; integrated mood analysis with AWS Comprehend; automated CI/CD pipelines via GitHub Actions and AWS CodePipeline; managed serverless infrastructure using Docker and CloudFormation.
Full Stack Developer at BearIT Oy / Twoday Oy
January 1, 2022 - June 1, 2023
Developed and maintained a survey system for industrial customers. Built full-stack components, REST APIs, and data migration workflows. Adapted authentication flow using AWS Cognito; migrated databases to DynamoDB.
Full Stack Developer at Mood Melody App
July 1, 2023 - Present
Built a cloud-native AI-powered music recommendation platform using React, Next.js, Node.js, and TypeScript. Deployed frontend and backend on AWS Lambda, integrating mood analysis with AWS Comprehend. Automated CI/CD pipelines via GitHub Actions and AWS CodePipeline. Managed serverless infrastructure with Docker and CloudFormation. Live demo: mood-melody-app.

Education

Computer and Software Development (Non-degree) at Tampere University
January 1, 2020 - January 1, 2022
PhD in Biology at Tampere University
January 1, 2002 - December 31, 2009
Computing and Software Development (Non-degree) at Tampere University
January 1, 2020 - January 1, 2022
PhD in Biology at Tampere University
January 1, 2020 - January 1, 2022

Qualifications

AWS Certified Developer – Associate
February 1, 2024 - February 1, 2027
AWS Certified Developer – Associate
February 1, 2024 - February 1, 2027

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Education, Computers & Electronics
    paper mood-melody app

    A showcase project demonstrating my end‑to‑end full stack development skills — covering architecture design, UI design, and both backend and frontend implementation, through to cloud deployment. Built with Next.js, React, Node.js (Express), and TypeScript in a PNPM monorepo, it leverages AWS Lambda, API Gateway, DynamoDB, S3, and AWS Comprehend for a fully serverless architecture and AI‑powered mood analysis. I also implemented a responsive frontend interface, optimized for both desktop and mobile.

    Both the frontend and backend are deployed on AWS Lambda, with automated CI/CD pipelines managed through GitHub Actions and AWS CodePipeline for seamless delivery and scalability.

    Live demo: https://www.twine.net/signin