urmidedhia

Urmi Dedhia

I'm a third year Computer Engineering student from Dwarkadas J. Sanghvi College of Engineering. I've participated in a few hackathons as a backend developer in ***Django ***and ***DRF ***and Machine Learning developer. I've also contributed to the ***Design ***in my teams. I've interned at Augnito.ai as an ML developer. Currently I am a part of three machine learning/deep learning papers involving both CV and ***NLP ***and an ongoing internship at Buyceps.com as a SDE. Things I'm keen about include exploring and learning about new avenues, learning to code, logically reasoning processes no matter how mundane they seem, researching about unusual concepts that spike an interest in me and all in all compelling myself to be a better person than I was yesterday. I'm good at logical reasoning, grasping new information, being part of a team, also great at sketching and literary writing on personal basis. What drives me to work further is the process towards completion itself, the satisfaction over completing a project, and the thought of making myself a better learned person than I've ever been before.

Projects

SensAI

Teaching Independence, day by dayDjango, OpenCV, Mediapipe, React js, Django rest framework, Streamlit

LuigiMart

To create a Warehouse Management System that utilizes cutting-edge technology to streamline processes and increase efficiency.Solidity, React, Firebase, Ganache CLI, MetaMask, Django, Machine Learning, YOLOv3 Algorithm, Firestore, Truffle Suite

LensFolio

One stop solution for the photographersFirebase, Django, JavaScript, TensorFlow, Keras, scikit-learn, NumPy, Python, Google Maps API, React js

CheckMate

To keep your mates in check!Flask, Machine Learning, Python, React.js, Django rest framework, Face Recognition

Skills

Python
Django
scikit-learn
Django rest framework
Pandas and NumPy

Experience

  • Buyceps - SDE
    February 2023 - Present

    I am working as a Django Backend Developer on the Buyceps official website.

  • Augnito - Machine Learning Developer
    July 2022 - August 2022

    I was assigned the task to build and compare various models and pipelines to classify clinical documents into their respective specialties viz. Ophthalmology, radiology, etc.