Jul 2021 – Jul 2022 · 1 yr

• As the Founder at Interviewmate, I spearheaded the development of a cutting-edge video conferencing platform for IT professionals and job candidates. This platform utilized Node.js, Google Meet, and Razorpay integrations to streamline the onboarding process and enhance the interview experience. Additionally, I successfully managed a team of 3 interns, overseeing Technical Operations and Graphic Designing to ensure smooth operations and high-quality design output.

Jul 2019 – Jun 2022 · 2 yrs 11 mos · Bengaluru, Karnataka, India

• Customized and configured ‘Case Management’ Application on Salesforce Platform using Apex Programming from scratch with web chat support.
• Enhanced ‘Shell Customer Connect’ Application which helps in supporting different ventures who are planning to start their business in oil & energy industry.
• Reduced Business cost of application by 34.6% by suggesting optimized implementation techniques.

Jan 2019 – Jun 2019 · 5 mos · Chandigarh

• Developed a Coding Platform in Node.Js for students to take placement tests or mock tests.
• Developed a session based CRUD operations Platform in Node.js for the organization for adding coding questions into the MySQL database.
• Added 250 Coding Questions into the database as repository.

Jan 2018 – Jun 2018 · 5 mos · Chandigarh Area, India

• Coded a python script that detects QR codes and ArUco markers and augments a virtual pyramid over the marker using pose estimation with an accuracy of 70% - 75%.
• Developed Local Reverse Image Lookup which shows the best matched image against a given image present in the local directory with an accuracy of about 85%.
• Developed and maintained an Inventory Management Android Application based on Python-Flask Server.
• Developed a Medical Records Management Android Application and implemented Offline mode and used Cloud vision API for easy searching.
• Created a fast reading Chrome Extension using JavaScript which enhances the normal reading speed of a person of about 250 wpm (words per minute) to about 450-500 wpm.
• Created an object detector and classifier using Tensorflow (Machine Learning) library which is used to detect and classify between a good condition apples and rotten apples with an accuracy of about 80%.

Dec 2017 – Jun 2018 · 6 mos · Noida, Uttar Pradesh, India

• Wrote articles about project ideas and code tutorials.
• Published 10 articles and improved 2 articles in this organization.