Introduction

I am a Software Developer and Technical Enthusiast.

I'm a Full Stack Developer with 1+ Years of Experience, who likes to make Android apps and Websites.I'm a creative problem solving enthusiast hence I enjoy learning new softwares/languages and programming.
I am currently a Software Engineer-I at ConnectWise. My passion for technology has led me to develop a career centered around programming.

Work Experience

Machine Learning Intern
(04/07/2019 - 18/07/2019)

Explored various Machine Learning Algorithms such as Linear Regression, Logistic Regression, Decision Tree, K-Means Clustering and Support Vector Machine. Then worked on Iris Dataset to classify a flower into one of the 3 species.

Flutter App Developer
(01/04/2020 - 01/07/2020)

Created an app called as Crop Disease Detector which helps farmers to detect disease on leaves by clicking the image of the leaf and will suggest remedies. Deep learning model RESNET-50 was used to train the images.

Driverless Team Intern
(01/09/2020 - 01/12/2020)

I was a part of Controls department of Driverless Team preparing for Formula Student Germany competition. Basically my task was to research and develop an algorithm to control the acceleration, brakes and steering of the vehicle.

Backend Developer
(17/02/2021 - 02/04/2021)

Created backend for an application which will be launched soon on Google Play Store in Python using Flask as framework and MySql as database. Wrote API's for the app which makes learning fun for the students and let them enjoy concept of education.

Summer Intern
(01/06/2021 - 01/08/2021)

Worked on a project named Projection and Filter Utility using GoLang and ElasticSearch whose aim is to perform searching, sorting, paginating and filtering on the data fetched from database through an API.

Software Engineer-I
(31/05/2022 - Present)

Decreased page loading time by 65% by implementing worker pool method.Solved escalated critical production bugs.Solely lead and delivered an entire epic in under 2 sprints.

Projects

Crop Disease Detector

Crop Disease Detector is an Android Application developed using Flutter which helps farmers to detect disease on their crops by clicking image of the crop through this application.

RIP Proxy

RIP Proxy is an Attendance Marker App which uses Face Detection library to detect students present in a classroom and automatically mark their attendance into the system.

PharmEasy

PharmEasy is an Online Pharmacy Store developed in Python using Flask framework where people can buy medicines. This project emphasises on making people aware about generic medicines.

CrowdSource

CrowdSource is an Android application developed to collect and store images of leaves of both diseased and healthy crops to create a dataset for future use. It is an secondary app created to build dataset for the Crop Disease Detector App.

SAM Arts

SAM Arts is an Art Gallery web application where users can buy paintings online and provides a platform for the artists to sell and publicise their paintings. This project was developed under a course in SEM 4 using MEAN Stack.

Hire Helper

Hire Helper is a mobile based house-helper aggregator app which connects helpers of different categories with potential employers and avoids the hassle of finding a suitable maid for the user’s requirements in a quick, efficient and economic way.

Twitter Sentiment Analysis

This project tells you the sentiments of people regarding any events happening in the world by analyzing tweets related to that event.

Only For Youtubers

Basic sentiment analysis of comments on a youtube video using a builtin python package Lexicon Sentiment Analyser and TextBlob Sentiment Analyser.

Portfolio Website

This project contains the code and details for my website (the one you are looking at).
This is an Online Portfolio demonstrating my skills, projects, and ways to find me.