ABOUT ME
I am Machine Learning & Research Practitioner .
I'm Hari Paudel, an undergraduate student developer & researcher studying at Howard University. Aside from the syllabus, I spend my spare time learning about various topics in Machine Learning. These days, I'm taking "Applied Data Structures" at my university, and I'm devoting my time to improving my Data Structures problem-solving abilities.
In my spare time, I love contributing to open source projects for different communities like DRCFS.
Technologies and tools I'm currently exploring and interested about.
- Python3
- AWS
- Docker
- Flask
- Git
- Postman API
- Pytorch
- SQL
Benefits
Why should you have me in team?
When workng on any form of projects, I strongly adhere to these principles which make my work both unique and scaleable.
Strong Attention-to-detail
Having this in me really helped me to grow as a thinker, researcher and developer. I believe this certain skill can shorten the potential longevity of any work it could’ve taken.
Communication skill
I believe it's the necessary skill regardless of background. It's because we have to be aware of a potential impact with our communication language.
Problem Solving & Minimal code
I try my best to write as minimal code as possible by implementing OOPS concept. Having a desire in me to work & learn by collaborating I give credit to my problem-solving mindset for igniting curiosity. Furthermore, analytical aptitude is something factual & logical to me.
Emotional Intelligence
This skill I believe has proportional inter-connection unh communication, & problem solving. This is the skill that Thaidual should possess for better company culture.
FEATURED PROJECTS
Skeep
Skeep is a fictional open source community website I created to explain how to integrate a live chat with Chatwoot
More Projects
Periodic Table
This is a tutorial project I made to explain how powerful grid is in building complex layouts.
- HTML
- CSS
Contact
Get In Touch
Want to connect with me or collaborate on projects together,please reach out to me.Thank You.