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followers: 9.0 following: 12.0 repos: 35.0 gists: 1.0

Name: Sajan Gohil

Type: User

Company: Glib

Bio: An AI enthusiast, constantly looking for new opportunities and ways to teach and transfer tasks to machines to make lives easy.

Location: India

Hi there!

I am Sajan Gohil, an AI and Machine learning enthusiast. I am currently working as an ML Engineer at Glib. My work github account can be found at github.com/sajan-glib.

🔭 I’m currently working on research project related to Table Structure Recognition using Graph neural nets on a large scale synthetic dataset (to be published).
🌱 I’m currently learning about Transformers, Django and other interesting things I come across.
👯 I’m looking to collaborate on Research projects which leverage AI for tasks across various domains.
💬 Ask me about ML, Deep learning, AI and any of it's subfields. (Im also open to anything else)
📫 How to reach me: E-mail: [email protected], Linkedin
😄 Pronouns: He/Him
⚡ Fun fact: I am also interested in graphic designing and similar creative fields and was a video editor for my university's film-making club. That's how I got into Computer Vision!

Resume and Certifications

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Sajan Gohil's Projects

abstract-reasoning-challenge

This is a challenge proposed by Francois Chollet, the creator of Keras framework, where a novel dataset is produced to train an algorithm to solve given abstract reasoning tasks

date_extraction_webservice

Date extraction web service which will extract dates from images of receipts

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

edge_outline_effect

Code for getting an edge outline video for an input video which can then be overlayed/blended for a scribble effect

file_sharing_system

server-client based system with point to point transfer between clients

fp-growth

Python implementation of the Frequent Pattern Growth algorithm

frequent-itemset-large-dataset

This is a desktop GUI that shows current status of gas concentration by reading the data from a database. Currently, the data is generated randomly and inserted in the database for some time. The GUI has a current status page(safe or unsafe state) and a plot for showing the concentration levels.