As the Lead Frontend Engineer at Iris, an AI-powered apartment rental platform based in San Francisco, I am responsible for architecting and developing the entire frontend application from the ground up. Iris leverages advanced AI search to help users discover the most relevant rental listings seamlessly.

Designed and implemented a scalable frontend architecture using React.js, TypeScript, and Tailwind CSS, ensuring a modern, responsive, and user-friendly experience.

Integrated custom AI-driven search with backend services via REST API and gRPC, optimizing data flow and performance for real-time property recommendations.

Collaborated closely with backend engineers working on FastAPI to align on APIs, ensure efficient data handling, and maintain a clean separation of concerns.

Leading the development of a production-level codebase (~25,000+ lines of code projected within 3 months), focusing on maintainability, scalability, and performance.

Established best practices for code quality, UI/UX consistency, and reusable components, creating a strong foundation for future product growth.

This role allows me to combine deep technical expertise with product-driven problem-solving, helping Iris scale as a next-generation rental marketplace powered by AI.

As the Chief Technology Officer (CTO) at Novora Solutions, I lead and manage our technical teams across multiple disciplines, including AI & Machine Learning, System Design, Backend, Frontend, and Cloud Architecture. My primary focus is ensuring that Novora Solutions delivers high-quality, scalable, and innovative software solutions tailored to the unique needs of each client.

Key responsibilities include:

• Overseeing the technical strategy and ensuring all projects align with the latest industry trends and best practices.

• Directly collaborating with clients alongside the CEO to understand their business goals and offer optimized and cost-effective software solutions, balancing technical excellence with business efficiency.

• Facilitating client workshops together with our engineering teams to define clear digital blueprints and software architectures, ensuring seamless alignment between business objectives and technical execution.

• Driving the adoption of modern technologies like AI agents, LLMs, cloud-native systems, and full-stack frameworks to ensure our solutions are future-ready.

• Building a collaborative and innovation-driven culture within the tech team to continuously improve processes, code quality, and delivery timelines.

At Novora Solutions, my role extends beyond just managing technology — I act as a bridge between business vision and technical reality, helping clients transform ideas into scalable and successful software products.

As the founding director of Ziva London Ltd, I am responsible for all major executive decisions, driving the vision and growth of our London-based e-commerce jewellery store. Ziva London specializes in elegant, hand-crafted jewellery made from sterling silver and gold, featuring exquisite American stones and globally sourced gems. My role encompasses strategic planning, operations, and brand development, ensuring that our business consistently reflects our commitment to quality, sophistication, and exceptional customer experience.

Developed full stack ERP web application using React, TypeScript, Node.js, Express.js, Python, MongoDB and AWS services. Collaborated with cross-functional agile team to build inventory management and analytics features for business users. Designed MongoDB schemas and AWS DynamoDB tables to store and query inventory, sales, and user data. Built REST APIs with Node.js and Express to enable CRUD operations on inventory and order data.

Implemented React Redux architecture for state management across the application. Containerized full-stack apps with Docker and Kubernetes for robust deployments. Optimized front-end application performance achieving 30% faster load times. Documented REST API specifications, app architecture and operational procedures.

Facilitated the development of dynamic web applications and game projects for 100+ students, assisting in deploying ML models for game projects, taught crucial SWE concepts & DSA. Utilized a range of languages and frameworks such as JavaScript, jQuery, React.js, Node.js, P5.js, Python, Flask, SKLearn, TensorFlow.

Collaborated with PhD professors and senior lecturers in the university's computing department on research papers concerning student engagement and retention theory. Used deep and machine learning models such as Logistic Regression, RNN, XGBoost, SVM, and clustering for predictive modelling and complex pattern recognition. (publication in progress)