At Honeywell, I’ve been working on building an Agentic AI Workflow Automation Platform designed to streamline complex enterprise decision-making. My focus has been on developing intelligent, production-ready systems that combine LLM APIs with RAG pipelines to automate workflows that previously required significant manual effort.

I designed and implemented backend services using Python (FastAPI) to orchestrate distributed agent workflows and handle real-time data processing. To improve the quality of AI responses, I introduced vector search using Pinecone and FAISS, which increased contextual accuracy by 35%. On the frontend, I built scalable and intuitive interfaces using Next.js and TypeScript, enabling users to visualize and customize workflows more effectively.

I also played a key role in deploying and scaling the platform using Docker and Kubernetes, ensuring high availability across environments. By setting up CI/CD pipelines with GitHub Actions and Terraform, I helped reduce deployment time by 20%, improving team velocity.

At LexisNexis, I contributed to building a Legal Document Intelligence Platform that enhanced how legal professionals search, analyze, and interact with large volumes of data. My work focused on developing scalable backend systems and responsive user interfaces that significantly improved performance and usability.

I built robust backend services using Java (Spring Boot), handling high-volume data processing and enabling seamless integration with internal systems. I designed and implemented RESTful APIs and introduced GraphQL, which reduced over-fetching and improved frontend efficiency. On the frontend, I developed dynamic interfaces using React.js and Redux Toolkit, leading to a 30% improvement in user engagement.

I also optimized database performance by refining schemas and writing efficient queries in PostgreSQL, reducing execution times by 25%. Additionally, I helped transition the system to a microservices architecture using Docker, improving scalability and deployment flexibility.

I ensured high code quality through JUnit and Mockito testing and supported faster releases by implementing CI/CD pipelines with GitHub Actions.