About

Jishnu Anandh

In a nutshell 🥥

Hi I'm Jishnu, a developer who loves crafting thoughtfully designed software that actually makes people's lives better. Whether it's a snappy interface or an agentic workflow, I get the most excited about building things that are both useful and delightful to use.

Over the years, I've worked on a diverse range of projects, from simple apps used by a few friends to production software with thousands of users. I enjoy building with the latest tech, brainstorming creative solutions, and occasionally pushing pixels until they feel just right.

If you're interested in collaborating on a project, sharing ideas, or just want to connect, feel free to reach out to me!

Education 🧑‍🎓

NUS Logo

Bachelor of Computing in Computer Science

National University of Singapore

  • Graduated with Honours (Distinction) in 2025
  • Specialisation in Software Engineering and Artificial Intelligence
  • Google Developer Student Club, NUS Chapter - Internal Lead
  • Residential College 4, University Town College Program
TUM Logo

Exchange Programme, Entrepreneurial studies

Technical University of Munich

  • Completed Entreprenurial Prototyping and Project Studies courses at TUM
  • Completed concurrent internship at Cliniserve GmbH as Software Engineer
  • Pitched startup ideas to judges from TUM and NUS
TJC Logo

GCE A-Level

Temasek Junior College

  • Graduated with Distinction in 2018
  • Subjects: Mathematics, Physics, Chemistry, Economics
  • Active member of LEO Club (Community Service) and College Ambassador

Skills 🛠️

  • Programming Languages:
    JavaScript
    TypeScript
    Python
    Java
    C++
    C
    Kotlin
  • Web Development:
    React
    Next.js
    Vue.js
    Meteor
    HTML5
    Tailwind CSS
    CSS3
    Plasmic
  • Backend Development:
    Node.js
    Express.js
    Flask
    Redis
    Kafka
    RabbitMQ
    REST APIs
    Fast API
    Axios
    Firebase
  • Mobile Development:
    React Native
    Expo
  • Databases:
    MongoDB
    PostgreSQL
    MySQL
    Supabase
    DynamoDB
    S3
  • AI/ML:
    TensorFlow
    PyTorch
    Scikit-learn
    NVIDIA NIM
  • DevOps & Cloud:
    Docker
    AWS
    GCP
    Azure
  • Data Analytics:
    R
    Hadoop
    Spark