# Dhana Parupudi > AI & ML Engineer | Full Stack Developer | LLM/RAG • Distributed Systems | Python • SQL • React.js • TypeScript • AWS • Azure • Snowflake | Building Scalable Data Pipelines & Intelligent Applications Location: New York City Metropolitan Area, United States Profile: https://flows.cv/dhanaparupudi I am an AI Engineer and Full-Stack Software Developer specializing in building intelligent, production-grade systems using Python and TypeScript. My work focuses on applying AI and machine learning to solve real-world problems from generating actionable insights to automating complex workflows and launching data-driven products. I previously worked with banking clients, engineering backend services, APIs, and real-time financial data pipelines that powered dashboards, transaction systems, and analytics platforms with a strong focus on scalability, reliability, and secure integrations. At my current startup, I work across LLM and RAG pipelines, website development, and financial hub testing, blending data engineering, backend development, and user experience design into solutions that scale. Along the way, I have designed and deployed Azure Data Factory and Python pipelines that cut latency by 40%, developed React.js/Next.js dashboards that delivered financial insights, engineered OCR + LLM integrations that transformed unstructured documents into structured, reliable data. With 4 years of experience shipping scalable, productized systems, I operate across AI architecture, backend engineering, and modern frontend development. I’m particularly interested in roles where intelligent systems, large-scale data platforms, and strong engineering foundations intersect to drive measurable business impact. ## Work Experience ### Software Engineer @ Cronk LLC Jan 2026 – Jan 2026 ### Software Engineer,AI @ AriesView Jan 2025 – Jan 2026 | Boston, MA • Built and optimized React.js/Next.js dashboards for a financial hub, integrating backend APIs to deliver real-time insights; streamlined workflows and improved UX, reducing task completion time by 40%. • Developed and maintained RESTful APIs and microservices with Express.js and PostgreSQL, ensuring reliable data handling, backend triggers, and seamless integration with frontend systems. • Increased automation coverage by 30% by implementing unit and integration testing with Jest, enforcing coding best practices across frontend and backend services. • Engineered OCR + LLM pipelines to transform complex commercial real estate documents into structured data, automating underwriting and lease abstraction processes and improving efficiency by 35%. • Enhanced retrieval-augmented generation (RAG) systems and AI model frameworks, boosting model accuracy by 20% and improving production readiness of AI-powered tools. ### Associate Software Engineer @ Virtusa Jan 2020 – Jan 2023 | Hyderabad • Designed and deployed microservices using Python, Java (Spring Boot), and TypeScript on AWS (Lambda, EC2, S3), integrating Kafka for event-driven processing, improving performance by 25% and supporting 1M+ daily transactions. • Built and optimized REST and GraphQL APIs, reducing payload size by 25% and improving query performance by 30%. • Developed transaction processing systems with KYC workflows, fraud detection, and secure authentication (OAuth2/JWT), ensuring compliance in financial applications. • Implemented event-driven architecture using Kafka and AWS Lambda, enabling real-time processing and improving system responsiveness. • Engineered ETL pipelines using AWS Glue, Redshift, and Python, improving query performance by 50% and enabling large-scale analytics. • Automated CI/CD pipelines using Docker, Kubernetes, Jenkins, and GitHub Actions, reducing deployment time by 40% and improving release reliability. ### Software Engineer @ Virtusa Jan 2020 – Jan 2020 | Chennai • Developed React (Next.js) and React Native applications using TypeScript, Hooks, and Redux Toolkit to build user interfaces for transaction tracking and payment flows, improving usability and consistency across web and mobile platforms. • Built backend APIs using Python (Django) and Java (Spring Boot) to support payment processing, order management, and user authentication, working with PostgreSQL to manage application data efficiently. • Assisted in implementing financial workflows such as transaction validation, authentication (JWT), and basic fraud detection rules, while leveraging AWS services (EC2, S3) for deployment and storage. •Contributed to unit and integration testing using Jest and PyTest, helping improve code quality and reduce bugs in critical transaction flows. • Collaborated on designing responsive UI components and dashboards for financial data visualization, focusing on clarity, performance, and user experience. ## Education ### Master's degree in Computer Science Montclair State University ## Contact & Social - LinkedIn: https://linkedin.com/in/dhanaparupudi - Portfolio: https://sprightly-alpaca-b0b6b3.netlify.app --- Source: https://flows.cv/dhanaparupudi JSON Resume: https://flows.cv/dhanaparupudi/resume.json Last updated: 2026-04-18