# Hemanth K. > AI Software Engineer | 4+ Years of Experience in GenAI, AI Agents, RAG, and Backend Systems | Python, Java, AWS Location: Greater Boston, United States Profile: https://flows.cv/hemanthk AI Software Engineer with 4+ years of experience building production-grade AI-powered systems, scalable backend applications, and cloud-native solutions using Python, Java, and modern cloud technologies. Skilled in developing GenAI solutions including AI agents, RAG pipelines, and LLM-driven workflows, with hands-on experience integrating AI into enterprise software, improving operational efficiency, and delivering reliable solutions for real-world business use cases. ## Work Experience ### AI Software Engineer @ Capital One Jan 2025 – Present | United States •Developed and deployed GenAI-powered AI agents using LangChain, LangGraph, and LLM APIs to automate financial support, case handling, and internal workflow use cases, reducing manual resolution time by more than 50% and improving consistency across enterprise operations. •Engineered secure backend APIs and Python-based services to integrate LLM capabilities into enterprise applications, enabling scalable, auditable, and production-ready AI experiences in a regulated financial environment. •Built RAG pipelines for real-time retrieval of policy, KYC, and transaction-related documents using vector search and custom retrieval strategies, improving retrieval quality and response accuracy in compliance-sensitive workflows. •Designed and implemented multi-agent orchestration workflows across planning, retrieval, and validation steps to automate complex business processes, helping improve execution speed for multi-step financial operations by 30% while maintaining transparency and control. •Established LLM evaluation, observability, and validation frameworks using automated metrics, tracing, and monitoring, improving output reliability, reducing prompt regressions, and strengthening production readiness of AI systems. •Collaborated with product, platform, and engineering teams to design, build, and deploy cloud-native AI software solutions across the full lifecycle, from architecture and backend integration to testing, deployment, and production support. ### Software Engineer Intern @ State Street Jan 2024 – Jan 2024 | United States •Built and integrated an AI-powered workflow using Python and prompt-based processing to automate internal analysis tasks, improving response consistency and reducing manual effort across business operations. •Developed backend features and workflow logic using Python and SQL, contributing to internal tools that streamlined operational processes and improved efficiency across enterprise use cases. •Collaborated with engineers to test, debug, and validate cloud-based software components, helping improve application reliability, deployment readiness, and overall platform stability. ### Student Assistant @ University at Buffalo Jan 2023 – Jan 2024 | Buffalo, NY • Assisted in developing and testing machine learning models for research projects, focusing on data preprocessing, feature engineering, and model evaluation. • Built small-scale Python and scikit-learn pipelines to automate experimentation and improve reproducibility of results. • Contributed to data visualization and reporting using Matplotlib and Power BI to help faculty and students interpret ML outcomes. • Collaborated with research teams to integrate ML insights into academic applications, gaining practical exposure to applied AI workflows. ### Associate Software Engineer @ Anasol Consultancy Services Jan 2021 – Jan 2023 | Telangana, India •Developed and maintained backend services for inventory, product availability, and checkout workflows using Java, Spring Boot, and Node.js, enabling reliable processing of high-volume retail transactions across core customer-facing applications. •Designed and optimized RESTful APIs for product, cart, and order workflows, strengthening service-to-service communication across frontend, backend, and downstream systems while reducing response latency by 25%. •Built reusable, responsive, and production-ready UI components using React, Redux, and TypeScript, translating business and design requirements into consistent customer-facing experiences across key purchase flows. •Integrated application modules with internal retail platforms and external vendor systems to support product data flow, availability checks, and order status updates, improving transaction accuracy and streamlining the end-to-end purchase lifecycle. •Supported release engineering, deployments, and production stability using Jenkins, Docker, AWS, Splunk, and New Relic, helping reduce deployment effort by 30% and improving reliability through monitoring, troubleshooting, and build validation. ### Java Developer Intern @ Education4OL Jan 2020 – Jan 2021 | India •Built and enhanced backend application features using Java, contributing to real-world software development tasks and strengthening core programming skills. •Applied object-oriented programming principles to develop clean and reusable code, while improving understanding of debugging and application logic. •Tested and resolved software issues in collaboration with team members, helping improve application functionality and reliability. •Supported the development of application modules by participating in coding, requirement understanding, and implementation activities. •Worked closely with mentors and developers in a collaborative environment, gaining hands-on experience in Java development and software engineering practices. ## Education ### Master's degree in Computer Science University at Buffalo ### Bachelor's Degree in Computer Science Vellore Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/khemanth0669 --- Source: https://flows.cv/hemanthk JSON Resume: https://flows.cv/hemanthk/resume.json Last updated: 2026-04-16