# Vineeth Reddy Vallapureddy > Team Lead & Full Stack Software Engineer @ C3 AI | AI & GenAI-Driven Enterprise Platforms | Supply Chain • Demand Forecasting • Inventory Optimization | Location: Mountain View, California, United States Profile: https://flows.cv/vineethreddyvallapureddy ⭐ About I’m Vineeth Reddy Vallapureddy, a Senior Full Stack Software Engineer with 5 years of experience building enterprise-grade AI, GenAI, and data-driven applications across Supply Chain, Telecom, and Industrial Engineering domains. I currently work at C3 AI in the Supply Chain unit, where I design and deliver AI-powered enterprise applications for Demand Forecasting and Inventory Optimization. My work involves productionizing time-series forecasting models, data pipelines, and decision-support systems using Python, Machine Learning, MLOps practices, SQL, and distributed systems — ensuring everything is secure, scalable, and cloud-ready. I also build GenAI-driven agent systems that let users interact with complex supply chain platforms via natural-language conversations. These solutions automate workflows, surface insights, and improve decision-making speed — integrating with React-based frontends, REST APIs, and microservices in AWS/Azure cloud environments. I work closely with Data Science, Product, and Solutions teams to design, integrate, test, and deploy these systems end-to-end. I also design and run DeepEval-based rubric evaluations to systematically assess agent reasoning, tool invocation accuracy, and end-to-end workflow performance. This helps enforce quality standards, reduce hallucinations, and ensure scalable, reliable LLM-driven systems in production. Previously at Amdocs, I engineered Java and Spring Boot microservices, scalable REST APIs, and real-time processing systems for major providers including AT&T, T-Mobile, and Verizon — improving reliability, reducing operational issues, and accelerating delivery timelines. Across roles, I thrive in agile, cross-functional environments, working across the frontend (React/JavaScript), backend (Java/Python/Microservices), data (SQL/ETL), and cloud (Docker/Kubernetes/CI-CD) layers. I enjoy turning complex data and business challenges into scalable, production-ready software with measurable impact. 💻 Work Highlights • C3 AI: AI & GenAI platforms using time-series forecasting, ML, data pipelines, and agent-based tooling for enterprise planning • Amdocs: Large-scale Java microservices & distributed backend systems for telecom order-handling • Derrick Corporation: Modernized legacy Excel workflows into full-stack apps; optimized SQL, UI performance, and data processing 💬 Let’s Connect Always happy to connect with people interested in AI, GenAI, Supply Chain, Full-Stack Engineering, and Applied Machine Learning. ## Work Experience ### Software Engineer @ C3 AI Jan 2025 – Present | Redwood City, California, United States I lead a cross-functional engineering team delivering enterprise-scale AI and GenAI-powered platforms supporting mission-critical Supply Chain operations, including Demand Forecasting and Inventory Optimization for global customers. Leadership & Ownership • Lead architecture, execution, and delivery across frontend, backend, data, and ML integration layers • Own technical design decisions and ensure scalable, secure, production-ready implementations • Mentor engineers through code reviews, system design guidance, and best-practice enablement • Partner with Product, Data Science, and Solutions teams to translate complex business problems into AI-driven platforms • Drive sprint planning, roadmap execution, and release quality with clear delivery accountability AI / GenAI & Platform Engineering • Build cloud-native, distributed systems integrating time-series ML models, GenAI tools, and agentic workflows • Develop high-performance APIs and intuitive UIs enabling real-time planning and decision support • Design natural-language agent interfaces allowing users to query data, trigger workflows, and extract insights seamlessly • Productionize ML and GenAI systems with focus on reliability, observability, governance, and scalable architecture • Design and run DeepEval-based rubric evaluations to assess agent reasoning, tool accuracy, and workflow quality in production Business Impact • Improve forecast accuracy and planning efficiency for global enterprise customers • Reduce stockouts, excess inventory, and operational cost through AI-driven decision workflows • Enable non-technical users to interact with complex supply chain systems via LLM-powered agent experiences ### Software Developer @ Derrick Corporation Jan 2024 – Jan 2025 | Buffalo, New York, United States Served as an Application Developer modernizing internal enterprise systems for a global manufacturing organization transitioning from spreadsheet-driven workflows to scalable, cloud-based web applications with modern UI and robust backend architecture. Owned projects end-to-end — from requirements and design through implementation, rollout, and support — while collaborating with a distributed engineering team in India. Key Responsibilities & Impact • Led application modernization initiatives, replacing legacy Excel workflows with custom web applications — improving data accuracy, usability, and operational efficiency across teams • Designed & developed full-stack solutions using Java, Spring Boot, C#, .NET, React, JavaScript, and Azure, selecting the right stack per system needs • Owned backend & data architecture, building SQL Server schemas, optimized queries, and stored procedures to support high-performance analytics & reporting • Created database views & data-access layers enabling business users to self-serve insights without relying on engineering • Integrated ADP APIs to synchronize HR & operations data across applications — ensuring secure, reliable, maintainable integrations • Coordinated and mentored offshore engineers, breaking down requirements, reviewing code, and ensuring timely delivery • Worked closely with IT, operations, and business stakeholders to scope requirements and deliver solutions aligned with manufacturing workflows • Ensured enterprise-grade security, access control, reliability, and scalability across all applications ### Experienced Software Developer @ Amdocs Jan 2022 – Jan 2023 | Pune, Maharashtra, India Worked in the Order Handling and Digital Experience unit, building and operating high-scale Java + Spring Boot microservices that power mission-critical telecom order processing for customers including AT&T, T-Mobile, and Verizon. My work focused on backend platform engineering, workflow orchestration, distributed debugging, and production reliability in a fast-paced, customer-facing environment. Key Contributions • Designed and developed RESTful microservices supporting core order lifecycle and orchestration workflows • Debugged and resolved complex production issues end-to-end by tracing distributed flows across services and Kafka event streams • Used Camunda BPM to analyze and correct workflow orchestration issues across microservices • Built, tested, and mocked REST APIs using Postman and WireMock to accelerate debugging and regression testing • Deployed services on OpenShift and worked with CI/CD pipelines in Jenkins and Bitbucket • Authored and maintained Swagger / OpenAPI + YAML service contracts for integrations • Maintained ~80% unit-test coverage with JUnit, improving code quality and reducing regressions • Partnered with QA, Support, and Operations teams to ensure SLA compliance and platform stability ### Software Developer @ Amdocs Jan 2020 – Jan 2021 | Pune, Maharashtra, India Worked on frontend and full-stack development for telecom retail and digital experience applications used by millions of end-customers across the U.S. Contributed to building modern, scalable web experiences while improving code quality, maintainability, and delivery efficiency. Key Contributions • Built and enhanced React + Redux web application features, improving user experience and functionality • Led migration from JavaScript to TypeScript, increasing type safety and long-term maintainability • Developed and supported backend services and APIs using Java & Spring, collaborating closely with backend platform teams • Worked with Couchbase and JSON-based data models to optimize application performance and data access • Supported CI/CD pipelines using Bitbucket, Jenkins, and OpenShift for reliable deployments • Contributed to proof-of-concept builds and customer demos for new features and platform initiatives • Delivered features iteratively in a Scrum-based environment, collaborating with product and engineering teams ## Education ### Masters in computer science University at Buffalo School of Engineering and Applied Sciences ### Deep learning in Machine learning Udacity ### Bachelor of Technology in Electrical, Electronics and Communications Engineering Indian Institute of Technology (Indian School of Mines), Dhanbad ### SSC SR EDU CENTER ## Contact & Social - LinkedIn: https://linkedin.com/in/vineeth-reddy-vallapureddy --- Source: https://flows.cv/vineethreddyvallapureddy JSON Resume: https://flows.cv/vineethreddyvallapureddy/resume.json Last updated: 2026-04-11