Priyatam Chinnari

Priyatam Chinnari https://priyatam-ux.github.io/-|- EDUCATION EXPERIENCE(INTERNSHIP) LPU WEBKNOT TECHNOLOGIES | Software Engineering Intern B.TECH in Computer Science Hons Expected June 2021 | Phagwara, Punjab Cum. GPA: 8.4/10 LINKS Github:// priyatam-ux LinkedIn:// priyatam-chinnari Portfolio://priyatam-ux.github.io/ HackerRank:// @Priyatampritu Leetcode:// @PriyatamPritu Hackerearth:// @priyatam6 COURSEWORK UNDERGRADUATE Advanced Machine Learning Advanced Full-Stack Development Open Source Software Engineering Advanced Interactive Graphics Compilers + Practicum Cloud Computing INDEPENDENT Data Structures and Algorithms Operating System Artificial Intelligence + Practicum Functional Programming Full-Stack Development with React Unix Tools and Scripting SKILLS PROGRAMMING Over 5000 lines: Java • Shell • JavaScript • Swift • Rails • ReactJS Over 1000 lines: C • C++ • CSS • PHP • Python Familiar: iOS • NodeJS • MySQL • Laravel RESPONSIBILITY Team Leader: Smart India Hackathon, Rajasthan Hackathon 5.0 Front-end Developer: Cloud-Bug Developers, Invictus Technical Community Nov 2020 – Dec 2020 | Banglore, Karnataka • Full-stack developer - Wrote the code for front-end design as well as the back-end part which was based on Laravel Framework. • Integrated cloud storage using GCP for storing video content. SHELTOWN | Front-end Developer Intern Aug 2020 – Sep 2020 | NewDelhi, India • Worked on Front-end frameworks, API integration, ReactJS, and connecting website to database (MySql). • Partnered with fellow developers and learned working in a collaborative environment. DESIGNING WORLD | Web Developer Intern July 2020 – Sep 2020 | Uttarakhand, India • Wrote and reviewed code for JS using Backbone, Jade, Stylus and Require and Scala using Play. • I created the Meme generator, the entire Lipsum application, ported Tokens to different apps, fixed many bugs and more in PHP and Shell. PROJECTS PERSONALIZED CANCER DIAGNOSIS PREDICTION Dec 2019 - Jan 2020 • Model Classify the given genetic variations/mutations based on evidence from text-based clinical literature. This model helps Molecular pathologists to classify the cancer variations into 9 classes. Trained the model on more than 4k data points and achieve 97 percent accuracy. • Technology Stacks: HTML5, CSS3, Bootstrap, JavaScript, React js. SCAN-X WEB APPLICATION Sep 2019 - Oct 2019 • Developed a web application at the Smart India hackathon, which supports the Hospital management system and supports features like Record security system, Attendant system, Patient and connection with a native mobile application. • Technology Stacks: Python3, Natural language processing, Google Colab. REAL TIME PIZZA ORDER TRACKER APP Aug 2020 - Oct 2020 • Using tailwind CSS for frontend as a css framework and will be using EJS template engine as well. we will be using socket.io for realtime communication. Using This app, will be able to order a pizza and get realtime notifications about pizza status • Technology Stacks: Firebase, HTML5, CSS3, JavaScript, Google API, SQL. ACHIEVEMENTS • Smart India Hackathon 2019 - Grand finale. • Winner of 4+ coding competition organized in campus.