Saif Ur Rahman
Senior Software Engineer
Building scalable web applications with modern technologies and AI integration.
I'm a Senior Software Engineer who builds production-ready applications that solve complex business problems. I started my journey at a startup, where taking full ownership of features accelerated my growth. Today, I architect and deliver AI-powered platforms, micro-frontend systems, and enterprise solutions that have improved delivery speed by 40% and maintained 80+ Lighthouse performance scores.
My expertise spans integrating cutting-edge AI technologies (OpenAI, Hugging Face, RLHF) into real-world applications, architecting scalable micro-frontend architectures, and building enterprise-grade systems. I've mentored engineers, led technical initiatives, and owned end-to-end product delivery. I'm passionate about building systems that are not just functional, but maintainable, performant, and deliver measurable business impact.
Technical Stack
Technologies and tools I use to build modern, scalable applications
Projects
Real-world projects demonstrating technical expertise and business impact
Problem Statement
Organizations needed an intelligent conversational system capable of answering queries, performing semantic search, and providing analytics using modern AI models.
My Responsibility
Role: Lead Engineer - Designed and developed a Generative AI chatbot platform end-to-end. Integrated OpenAI and Hugging Face models. Built conversational UI, intelligent search, dashboards, and analytics. Owned architecture, development, and delivery.
Tech Stack
Measurable Outcome
Delivered a production-ready AI platform with real-time responses. Improved information retrieval speed and accuracy. Enabled conversational analytics and intelligent user interaction.
Problem Statement
The existing LMS was monolithic, difficult to scale, and slow to evolve, resulting in delayed feature delivery and reduced maintainability.
My Responsibility
Role: Lead Engineer - Led development of 3 independent micro-frontend services. Designed modular frontend architecture to improve scalability. Mentored 4 interns, conducted PR reviews, and enforced coding standards. Collaborated with backend and product teams for end-to-end delivery.
Tech Stack
Measurable Outcome
Improved feature delivery speed by ~40%. Enhanced system modularity and scalability. Reduced onboarding time for new developers.
Problem Statement
Large Language Models required real-world evaluation to improve reasoning, code quality, and reliability before production adoption.
My Responsibility
Role: Individual Contributor (Senior-Level Ownership) - Worked on RLHF workflows to improve AI reasoning and accuracy. Evaluated AI-generated code for correctness, readability, and maintainability. Designed complex prompts and coding tasks for benchmarking. Provided structured feedback to guide model fine-tuning.
Tech Stack
Measurable Outcome
Improved AI model reasoning and code generation quality. Contributed to safer, more consistent AI systems. Enabled better benchmarking across multiple LLMs.
Problem Statement
Expondo's finance team relied on a manual, error-prone VAT correction process, leading to reconciliation delays, inconsistent data, and operational risk.
My Responsibility
Role: Lead Front-End Engineer - Led end-to-end frontend architecture and development. Designed a rule-driven UI for VAT validation, corrections, approvals, and exports. Owned performance optimization, maintainability, and system design. Reduced team dependency using AI-assisted development workflows.
Tech Stack
Measurable Outcome
Replaced a manual VAT workflow with a scalable automated system. Improved finance reconciliation accuracy and efficiency. Maintained 80+ Lighthouse scores across Performance, Accessibility, and Best Practices. Reduced delivery time while maintaining enterprise-grade quality.
Problem Statement
Legacy enterprise applications required modernization to reduce manual effort, improve user experience, and achieve feature parity with existing systems.
My Responsibility
Role: Lead Frontend Engineer - Built modern React.js SPAs replacing legacy workflows. Migrated platforms to Next.js to improve SEO and performance. Introduced responsive design and micro-frontend patterns. Leveraged AI-assisted tools to accelerate delivery.
Tech Stack
Measurable Outcome
Reduced manual operations by ~40%. Achieved ~95% feature parity with legacy systems. Improved SEO visibility and frontend performance.
Problem Statement
The platform lacked secure payment processing and visibility into user behavior, limiting monetization and data-driven decision making.
My Responsibility
Role: Core Team Member - Integrated Razorpay payment gateway for secure and scalable transactions. Implemented Mixpanel analytics for user behavior tracking and funnel analysis. Ensured production-grade reliability and error handling.
Tech Stack
Measurable Outcome
Enabled secure online payments across the platform. Delivered actionable analytics for business insights. Improved data-driven product decisions.
Get In Touch
Have a project in mind or want to collaborate? I'd love to hear from you.