AI Software Engineer | Agentic AI, LLM Infrastructure, Distributed Systems
I’m an AI Software Engineer with a strong focus on agentic AI systems, LLM infrastructure, and scalable backend architecture.
I build production-grade AI platforms that combine LLMs, autonomous agents, retrieval-augmented generation (RAG), and document intelligence.
Focused on building and operating scalable, distributed AI-driven systems with an emphasis on LLM-based applications, agentic workflows, and backend architecture.
Work includes designing high-throughput services, integrating large language models, and supporting production deployments in controlled environments.
Worked on a design-to-code platform spanning backend services, frontend integration, and AI-powered workflows. The role involved building API-driven pipelines that transformed structured outputs from design tools into application code, integrating LLM-based services to support dynamic behavior, and contributing to data ingestion pipelines used for training machine-learning models. Collaborated across product and engineering to deliver scalable, production-ready systems that bridged design, code generation, and AI.
Utilized D3 scaling functionality for mapping a dimension of abstract data to a visual representation and shape generator functionality to interpret data and build geometric shapes in form of svg elements.
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Optimized performance of React components and enabled fast and responsive UI by creating memoized High Order Components with memo API and preserving referential equality of props values with React memoization hooks to avoid unnecessary rerenders
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Automated CI/CD pipeline by configuring GitHub Actions workflow to automatically run tests to speed up integration of code changes from multiple contributors and workflow to build and release npm module to npm registry
Built complex user interface in React as a collection of reusable components to easily maintain and uniformize the codebase
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Utilized D3.js as a data visualization solution to integrate Newton's equations of motion in space-optimized Force-directed graph layout featuring drag, zoom, and on hover tooltip functionality
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Employed Jest framework for unit testing and to run functional and integration tests leveraging DOM/React Testing Library custom matchers and rendering to the DOM functionality to evaluate DOM nodes and UI, as well as user-event API
