San Diego, CA ***** PRANAV KALRA linkedin.com/kalrapranav

(619) 317 – 2457

adi9hq@r.postjobfree.com

github.com/kalrapranav

EDUCATION

San Diego State University (SDSU), San Diego, CA Bachelor’s in Computer Sciences SKILLS

Frontend Frameworks – Vuejs, Reactjs, Angular, GSAP, Three.js, jQuery, Bootstrap, CSS3, d3.js, Emberjs Web Dev: Node Js, Express, MongoDB, TypeScript, Nginx, HTML5, JSON, REST API, JAVA, HTTP Protocols, SQL Graphics Tools: Photoshop, Illustrator, Figma Para View, d3.js, MATLAB, Matplotlib, gnu Plot DevOps and Clouds Tools: Dockers, git, Heroku, Kubernetes, Amazon E2C Containers, AWS VPN, Elastic Bean Stalk RELATED EXPERIENCE

Full Stack Developer, Reel Axis Jan 2020 – March 2020

• Used Ionic, Cordova and Vue.js to develop features and maintain application ChannelBytes IOS, Android and Web App Web and Mobile App Developer, HG Fenton Idea Lab Nov 2019 – August 2020

• Assisted team by creating technology road by identifying their operational bottlenecks using Nodejs and React-Native

• Develop and web and mobile apps to collect User Experience data to validate problem and solution statement for startup teams Software and R&D Intern, ObjectSecurity June 2019 – July 2019

• Researched to create a scheduling app using AWS VPC, Dockers and Kubernetes for local to virtual host communication

• Developed a Client to server-side communication web app using Node, Express and MongoDB, Nginx, AWS EC2

• Created an IA for project RedBox for transferring binary files from local to virtual host via multiple mediums Research Assistant - Research Foundation SDSU Feb 2019 – May 2019

• Developed an algorithm to remove the bottleneck data writing between 256 GPU using MPI-IO, PnetCDF, C and C++

• Visualized the effects of CaCO3 and wastewater injection into earth’s surface using Para View

• Optimized researchers’ codes in parallel for maximum performance by calculating the runtime complexity for the algorithms Full Stack Developer, Hybrid Idea Sept 2018 – May 2019

• Developed web and mobile app-solutions using React Js, Node Js, d3 Js, Meteors, MongoDB and React - Native

• Build a healthcare application using Deep Learning for using Tensor Flow and deployed over AWS S3 and EC2

• Collaborated to create IOT and Machine Learning Apps for autism and healthcare using Arduino, Raspberry Pi and AWS VPC System Administrator – Research Foundation SDSU June 2019 – July 2019 PROJECTS

Liquor Wine Time (Website and Dashboard) Demo

Collaborated with a team of developers and designers to create a custom ecommerce solution to buy Liquor Online. The website relates to a custom Dashboard that helps vendors measure metrics for the sales and client retention. Technologies Used: PHP, GSAP, Django, AWS EC2, Cloudflare CDN Lunavo Client Dashboard

Collaborated with team of designers and developers to create a Project Management Dashboard to Visual Real time SDLC using JIRA and Trello’s REST API and Developer’s Productivity using AWS VPN and CloudWatch API Sales App

A CRM system to improve door-to-door Salesman productivity through automated client follow-ups, sales metrics & client referrals Technologies Used: ReactJs, Nodejs, React Native, Django, POSTMAN API, brain.js, MongoDB, Socket.io, C# Speech Stimulator Demo

A Hand Gesture to Speech Based Communication device that allows users to speak 6 different languages, different ascents, and 250 – 750 wpm speech rate. [Patent Pending; Application Number: No.201********* A]