Dhruv Bansal

I designed the architecture for the entire application, including the back end and front end. I also developed and led a team of two developers to develop the platform. I used the MQTT communication protocol and implemented the swapping process with more than ten communication steps between hardware, back end, and front end within 7–9 seconds.

Helped integrate two new data sources in the platform from scratch and added changes in the front and back end of the platform to support the additional sources, FDA and HMA. Enabled text search, document search, and OpenAI-based generative AI response.

Created the back end of the video booth application for Microsoft Build and Microsoft Inspire events. I built an API for the front-end app that enabled user handshakes and ingested user-generated assets from the platform. Also, I implemented Azure Functions to process the input with computer vision scripts to generate the output. I shared it with the user over email with the polling API integrated with the front-end app.

Scraped data from HPRA (https://hpra.ie) and HMA (https://hma.eu) data sources, downloaded all the documents, extracted data from the documents, and made the data searchable using Elasticsearch, PostgreSQL and AWS Kendra to enable document search.

I designed the architecture for the back end of a dating app. I developed social onboarding APIs with Social Auth Integration. I also designed and developed the profile recommendation engine based on user preference, profile score, and previous swipes.

Built a digital enablement platform that offered a hands-on experience to the users. While working on the project, I designed and developed database schemas following the business requirements, built APIs with extensive validations for the platform, and set up and integrated Amazon WorkSpaces with the platform. I added the Stripe subscription payment integration and deployed the platform's front end and back end in multiple environments, including development, demo, and production.

Docker-wrapped Python scripts to carry out different operations needed for the logistics platform operation, like ETL data pipelines, FTP server syncing, re-booking failed consignments, scheduling consignments for pickup, etc.

Devised a mobile and web-based learning platform for sports enthusiasts and developed it using the MERN stack. For the administration dashboard's front end, I used React, MobX, and Material UI. I contributed to the core back end of the application, which was built with API endpoints using Node.js with NestJS and MongoDB. I also integrated Stripe's payment gateway into the platform and helped build the video processing stack based on the AWS Media stack. After the video's upload, it was converted to the required formats, the captioning was added, and it was published on the platform.

A real-time decision-making application to help the fans decide the next move of a cricket match, such as who will bowl the next over, which player will go as the next batsman, etc. The application shifts the control to the fans and is like a fantasy come true.

Responsibilities:
1. Optimized the building of React components using Redux and Material-UI.
2. Improved the app performance using Webpack bundling and code splitting to reduce the initial load time.
3. Reduced the response time of the APIs by improving the flow.
4. Implemented mobile app notifications from the dashboard using Firebase and Redis.
5. Added questions for end-users in real time using the Redis Pub/Sub model.
6. Developed a static landing website for the platform.

Designed architecture and developed a simple-to-use inventory management platform using PHP, jQuery, MySQL, Apache Server, etc., for small and medium-size businesses to help them track and manage their inventory.

A platform designed for specially abled people to help them adjust to schools and universities across the globe.

Responsibilities:
1. Developed the student-facing front end (FE) using React and Redux, and the institution-facing one using Vue.js and Vuex, all while keeping accessibility in mind.
2. Developed the back-end API endpoint based on Node.js using the Express framework and MongoDB.
3. Added third-party APIs for services like video captioning, Math OCR, and volunteer search.
4. Actively developed the platform.
5. Integrated third-party accommodations like a volunteer search, video captioning, and OCR searches to the Python/Flask-based server.

Developed a MERN app that performs some specific actions with access control within the organization to empower the support team to resolve the recurring issues on their own and reduce the dependency on the engineering team.

Developed my own media recorder.
During the pandemic, when we couldn't get through the daily meetings, I drew inspiration from the Google Meet platform and worked towards developing my own audio, video, and screen recorder. Currently, it supports recording the media on the local storage only, but I plan to use the calling feature similarly in the future.

The platform was targeted to list, manage, and sell refurbished products on the mobile app. I was responsible for developing the entire admin dashboard and platform back end. We used Node.js, Express.js, and MongoDB in the back end and React, Ant Design, and Context API in the front end.

A platform for buying/redeeming. Assured buyback cover for your old or newly purchased vehicle. We offer an assured price for vehicle buyback based on the vehicle's city and variant.

The software was primarily used with B2B partners. I designed custom authentication and authorization schemes to handle multiple use cases at the partner level.

A Node.js-based serverless app to scrape data by logging into a user's loan account. I generalized the entire login and 2FA flow for more than 300 vendors in the platform. I also enhanced the structure of the scraped data to support multiple loan applications.

I developed a Python Script to automate the bulk file upload process for an eCommerce website. It was built on Selenium using drivers, and the web page elements were accessed and actioned upon using the XPath functionality of Selenium.