Amit Mondal
I to Love make and break <Code />
I am a Software Engineer specializing in Frontend, with the ability to solve challenging problems using my strong analytical skills and keen attention to detail.

About Me
As someone who loves the art of software development, I find designing and developing robust, scalable and maintainable systems extremely satisfying. Excellent quality is something I take pride in and strive to achieve in all my work . Although DevOps isn't my speciality, but I am very familiar with setting up projects from scratch, tweaking build configs, and deploying projects.
I've learned most of my skills through real-world experience , with the assistance of video tutorials, documentation, articles, and books. Today coding satiates my desire to work with elegant, dynamic systems with real-world applications and it's been a very rewarding challenge.
I have many interests besides coding, I tend to spend most of my free time reading, listening to music, pondering the universe, watching anime, gaming, and exercising. I also love spending time in nature.
My primary ambitions are to live life the fullest and help unite humanity towards a positive future.
Here are a few technologies I've been working with recently:
↳ Javascript (ES6+)
↳ Typescript
↳ Vue
↳ Nuxt.js
↳ Node.js
↳ SCSS
Where I've worked
Software Engineer @ SenseHawk
March, 2023 - Present
- Working on building various module for digitizing Renewables, Infrastructure and Construction.
- Completely owned and delivered Plans module used for visualizing, managing, annotating, tracking and collaborating in real-time from a single asset-centric platform that mirrors the reality of your project.
- Working on some new exciting stuff.
Skills
Some Things I’ve Built
Pokemon Guessing Game
Play around with Vite(build tool) and Redux Toolkit(state manager). I was getting a bit rusty with React so why not...
Weather Mobile Application
Built a Weather App to grasp the basic understanding of React Native and React Native Animation.
Personal Voice Assistant
A self learning project to implement Webpack and Browser's Speech Recognition for Speech to Text conversion.