About Aditya
undergrad engineering student with borderline software developer disorder and previously undignosed low-level system design obsession
- Grew up chasing chickens in a small village.
- Now I like terminals, hot keys, and command-line tools.
- Deeply fascinated by space science and aviation.
- Had a great fondness for rockets and bicycles since a young age.
- Built and launched model rockets for fun few years back.
- I like flowers; my favorite is Sonchafa.
- I love computers 💕🤖.
- And I admire a good taste in movies and music.
Now
I took a break from grinding LeetCode and competitive programming to host our annual flagship event under the ACM student chapter.
I am the Chair of the IOIT ACM Student Chapter, where I lead initiatives, oversee events, and guide the chapter’s activities. Previously, I co-founded Hosteze, where I was responsible for the design, development, testing, and documentation of the website. Hosteze was a student-focused accommodation platform that helped students find housing near their colleges.
Things I am good at
- Rapid prototyping
- Building good design systems
- Creating end-to-end pipelines for applications, from backend to frontend
- Writing clean, modular, and maintainable code and documentation
- Learning and applying domain-specific knowledge quickly
- Understanding complex systems from a higher-level perspective
- Delivering functional and robust products in record time
- Breaking down abstract ideas into actionable steps
- I have that dog in me and I am nice about it.
Currently Reading
Competitive Programmer’s Handbook
Antti Laaksonen, Draft July 3, 2018
Good material, providing an awesome introduction to algorithms and competitive programming in general. It's short, concise, and to the point, but it lacks exercises or problem sets.
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow
This book is an absolute gem for anyone interested in machine learning and AI. It’s not just packed with theory, but it also focuses heavily on practical implementation using popular library like Scikit-Learn, Keras, and TensorFlow.
Tools
I am a tools guy. I'm about getting things done quickly and having as little space between my thoughts and actions on the computer.
I like having vim-like bindings and prefer running programs in the terminal for simplicity's sake. You can find my dotfiles on github.
Here is a unordered list of all tools that makes my life easier and I use on regular basis:
- nvim
- lazygit
- tmux
- zsh
- fzf
- ffmpeg
- overleaf
- Excalidraw
- google sheets
- google docs
- cobalt (download multimedia from web)
