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Software Engineer | Full-Stack Developer Results-driven Software Engineer with 4+ years of experience building scalable, production-ready web applications using React, Node.js, TypeScript, GraphQL, and AWS. Experienced in designing and developing AI-powered applications, serverless architectures, real-time collaboration systems, and third-party integrations. At my current role, I have worked on an AI-powered RFP automation platform that reduced proposal creation time by 60–70% and achieved approximately 68% auto-population accuracy using RAG-based prediction. I have also developed real-time collaboration features using WebSockets, supporting 10+ concurrent users, and implemented AWS SQS FIFO-based solutions to address race conditions and ensure reliable processing. My technical expertise includes React, Node.js, Express, TypeScript, Apollo GraphQL, PostgreSQL, MongoDB, DynamoDB, AWS Lambda, SQS, WebSockets, and REST APIs. I have also integrated enterprise platforms including Salesforce, Microsoft Graph, SharePoint, Outlook, and Box. I enjoy solving complex engineering problems, improving application performance, designing scalable backend systems, and building intelligent products that deliver measurable business impact. I am currently seeking Software Engineer / Full-Stack Engineer opportunities in the US where I can contribute to building scalable and impactful products.…Software Engineer | Full-Stack Developer Results-driven Software Engineer with 4+ years of experience building scalable, production-ready web applications using React, Node.js, TypeScript, GraphQL, and AWS. Experienced in designing and developing AI-powered applications, serverless architectures, real-time collaboration systems, and third-party integrations. At my current role, I have worked on an AI-powered RFP automation platform that reduced proposal creation time by 60–70% and achieved approximately 68% auto-population accuracy using RAG-based prediction. I have also developed real-time collaboration features using WebSockets, supporting 10+ concurrent users, and implemented AWS SQS FIFO-based solutions to address race conditions and ensure reliable processing. My technical expertise includes React, Node.js, Express, TypeScript, Apollo GraphQL, PostgreSQL, MongoDB, DynamoDB, AWS Lambda, SQS, WebSockets, and REST APIs. I have also integrated enterprise platforms including Salesforce, Microsoft Graph, SharePoint, Outlook, and Box. I enjoy solving complex engineering problems, improving application performance, designing scalable backend systems, and building intelligent products that deliver measurable business impact. I am currently seeking Software Engineer / Full-Stack Engineer opportunities in the US where I can contribute to building scalable and impactful products.

Imran Khan

Full Stack Developer

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Software Engineer | Full-Stack Developer Results-driven Software Engineer with 4+ years of experience building scalable, production-ready web applications using React, Node.js, TypeScript, GraphQL, and AWS. Experienced in designing and developing AI-powered applications, serverless architectures, real-time collaboration systems, and third-party integrations. At my current role, I have worked on an AI-powered RFP automation platform that reduced proposal creation time by 60–70% and achieved approximately 68% auto-population accuracy using RAG-based prediction. I have also developed real-time collaboration features using WebSockets, supporting 10+ concurrent users, and implemented AWS SQS FIFO-based solutions to address race conditions and ensure reliable processing. My technical expertise includes React, Node.js, Express, TypeScript, Apollo GraphQL, PostgreSQL, MongoDB, DynamoDB, AWS Lambda, SQS, WebSockets, and REST APIs. I have also integrated enterprise platforms including Salesforce, Microsoft Graph, SharePoint, Outlook, and Box. I enjoy solving complex engineering problems, improving application performance, designing scalable backend systems, and building intelligent products that deliver measurable business impact. I am currently seeking Software Engineer / Full-Stack Engineer opportunities in the US where I can contribute to building scalable and impactful products.…Software Engineer | Full-Stack Developer Results-driven Software Engineer with 4+ years of experience building scalable, production-ready web applications using React, Node.js, TypeScript, GraphQL, and AWS. Experienced in designing and developing AI-powered applications, serverless architectures, real-time collaboration systems, and third-party integrations. At my current role, I have worked on an AI-powered RFP automation platform that reduced proposal creation time by 60–70% and achieved approximately 68% auto-population accuracy using RAG-based prediction. I have also developed real-time collaboration features using WebSockets, supporting 10+ concurrent users, and implemented AWS SQS FIFO-based solutions to address race conditions and ensure reliable processing. My technical expertise includes React, Node.js, Express, TypeScript, Apollo GraphQL, PostgreSQL, MongoDB, DynamoDB, AWS Lambda, SQS, WebSockets, and REST APIs. I have also integrated enterprise platforms including Salesforce, Microsoft Graph, SharePoint, Outlook, and Box. I enjoy solving complex engineering problems, improving application performance, designing scalable backend systems, and building intelligent products that deliver measurable business impact. I am currently seeking Software Engineer / Full-Stack Engineer opportunities in the US where I can contribute to building scalable and impactful products.

Available to hire

Jind, India

Software Engineer | Full-Stack Developer

Results-driven Software Engineer with 4+ years of experience building scalable, production-ready web applications using React, Node.js, TypeScript, GraphQL, and AWS. Experienced in designing and developing AI-powered applications, serverless architectures, real-time collaboration systems, and third-party integrations.

At my current role, I have worked on an AI-powered RFP automation platform that reduced proposal creation time by 60–70% and achieved approximately 68% auto-population accuracy using RAG-based prediction. I have also developed real-time collaboration features using WebSockets, supporting 10+ concurrent users, and implemented AWS SQS FIFO-based solutions to address race conditions and ensure reliable processing.

My technical expertise includes React, Node.js, Express, TypeScript, Apollo GraphQL, PostgreSQL, MongoDB, DynamoDB, AWS Lambda, SQS, WebSockets, and REST APIs. I have also integrated enterprise platforms including Salesforce, Microsoft Graph, SharePoint, Outlook, and Box.

I enjoy solving complex engineering problems, improving application performance, designing scalable backend systems, and building intelligent products that deliver measurable business impact. I am currently seeking Software Engineer / Full-Stack Engineer opportunities in the US where I can contribute to building scalable and impactful products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Software Engineer at Anzo (details not fully specified)

October 1, 2023 - Present

Developed and maintained scalable full-stack enterprise applications with React.js, Node.js, Express.js, and MongoDB. Engineered real-time dashboards and telemetry tracking using WebSockets and React.js for high-concurrency environments. Optimized database performance across MongoDB and PostgreSQL using effective indexes and aggregation pipelines. Built AWS serverless workflows using SQS FIFO and Lambda for high-concurrency background processing and to remove race conditions. Integrated third-party REST APIs via custom Node.js middleware for file management and workflow scheduling. Implemented additional AI prediction workflow components (Unity Predicted, Bid Assist RAG, Carry Forward) to automate 60–70% of RFP responses.

Software Engineer at Anzo Controls

August 1, 2022 - October 1, 2023

Built an AI-powered RFP automation platform using React.js, Node.js, Express.js, and AWS serverless architecture. Integrated a Retrieval-Augmented Generation (RAG) prediction model to achieve 68% auto-population accuracy and reduce proposal creation time by 60–70%. Implemented real-time collaboration using React.js and WebSockets with question-level locking to support 10+ concurrent users without state conflicts. Architected and maintained high-speed NoSQL and relational data structures using MongoDB, Amazon DynamoDB, and PostgreSQL for unstructured opportunity data, structured bid data, and pharmaceutical-grade audit trails. Eliminated race conditions by routing asynchronous tasks through AWS SQS FIFO queues and Lambda functions via Node.js. Integrated third-party REST APIs (Salesforce CRM, Box, SharePoint, Outlook) using custom Node.js middleware to automate folder provisioning, document workflows, and calendar synchronization. Delivered secure Node.js authentication/authorization