Ruhan Khandakar

• Increased daily enrichment processing capacity by 90% by architecting scalable backend systems using NestJS, BullMQ, and MongoDB, integrating with HubSpot, Salesforce, and GitHub APIs.

• Achieved 60% reduction in manual data operations by deploying a GPT-powered chatbot with Langchain and Vector DB, enabling natural language-driven enrichment capabilities.

• Supported 400million real-time lead searches monthly by building high-performance systems with OpenSearch and Golang gRPC and integrating a React/WebSocket frontend.

One of my notable achievements is the development of a dynamic chart to display investment portfolios. This feature provides users with a visual representation of their investments, aiding in better decision-making and portfolio management. The dynamic chart is designed to be both informative and user-friendly.

Additionally, I have been responsible for building a scalable API that fetches real-time stock data. This API ensures that users receive accurate and up-to-date information, critical for investment decisions in the stock market.

The technology stack I have been proficiently using for these tasks includes TypeScript, NextJS, React Query, Docker, NodeJS, and PostgreSQL. These technologies are instrumental in creating robust and efficient solutions, ensuring a seamless user experience.

One of my key responsibilities was handling an immense volume of over 6 crore Push API requests each month, leveraging technologies like Kafka and NodeJS. This system was crucial as it directly contributed to the company's revenue. I also utilized AWS Lambda, a serverless function, to manage communication services, handling 3 million requests for SMS, WhatsApp, and Email.

I played a pivotal role in the development of the main dashboard application, which allowed clients to place orders, monitor order statuses, access daily statistics, generate reports, invoices, and review wallet deduction history. This application served as the primary revenue source for the company and was built using ReactJS, NextJS, Redux, and React Query.

Additionally, I contributed to the development of an internal sales dashboard that enabled sales teams to view seller's order data and modify rate cards. This project was also developed using ReactJS and Redux.

One of my primary contributions was the development of the main portal, a hub where Instructors, Mentors, and TAs could create live sessions using the Zoom SDK, accommodating over 200 students at once. This portal allowed students to mark their attendance and participate in live Multiple Choice Questions (MCQs). Additionally, students could access recorded session videos and download class notes, enhancing their learning experience.

I also worked on a feature that facilitated the evaluation of tests, assignments, and coding challenges by mentors, which were submitted by students. This functionality streamlined the learning process and provided valuable feedback.

Furthermore, I contributed to the development of a job placement system that allowed recruiters to create job listings, and students could apply for these positions. This system included a real-time chat feature to facilitate communication, similar to platforms like Internshala.