Hyderabad, Telangana
adcgur@r.postjobfree.com
https://www.linkedin.com/in/sudarshna-patel/
SUDARSHNA PATEL
A self-driven software professional with 3.5+ years of experience in web development. Seeking to leverage proven achievements in a learning and challenging environment & contribute positively to my personal growth as well as the growth of the organization.
EDUCATION
IIT Roorkee, Roorkee
JUL 2011 - MAY 2016
Computer Science Integrated
Dual Degree (B.Tech & M.Tech)
TECHNICAL SKILLS
Languages
Ruby, SQL, HTML, JavaScript, C++
(proficient)
Python, R Programming
(familiar)
Software & Technologies
Frameworks : Ruby on Rails,
VueJS, ReactJS
Tools : VSCode, Sublime Text,
RSpec, RuboCop, AWS
Version Control : GIT
Platform : MacOS, Ubuntu
Databases : PostgreSQL,
MongoDB
INTERESTS
Software Development, Data
Science, Public Speaking, Fitness
LANGUAGES
English, Hindi
WORK HISTORY
Ekincare — Hyderabad, India
Senior Software Engineer APR 2019 - PRESENT
● Architected, designed and developed backend for Family Doctor & Coupon System and led implementation of RESTful APIs for the same. Software Engineer JAN 2017 - MAR 2019
● Architected, designed and developed backend of Gym Integration
● Integrated real-time chat service using Ably between customers and doctors for doctor consultations.
● Optimized APIs for faster response time using caching.
● Designed and implemented database architecture for various projects in Postgres.
● Experienced in application quality assurance, testing APIs and functionality utilizing TDD principles.
Innoplexus Consulting Services, Pune — Software Developer JUN 2016 - SEP 2016
● Developed web crawlers for various websites using Beautifulsoup, Selenium, Scrapy and Python.
Chung-Ang University, Seoul — Intern
MAY 2015 - JUL 2015
● Development of Image upload Website: Project involved development of a website to collect images from users using php and mysql in laravel with html and javascript framework and hosted it on university server. Lucerne University of Applied Sciences and Arts, Lucerne — Intern MAY 2014 - JUL 2014
● Eczema Detection Desktop App:Project involved development of GUI for an automated eczema detection system using C++ and OpenCv on Qt platform. PROJECTS
● Sign Language Recognition System (Master’s Thesis): Developed a sign language recognition system which is able to detect sign language gestures in a video. It is a comparison between Bayesian and SVM classifiers. SVM provides better results than Bayesian classifier and the results shows the highest accuracy of 66.25% in recognizing the gesture correctly.