Vineeth Reddy Vallapureddy

About Vineeth Reddy Vallapureddy

AboutI’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 ConnectAlways happy to connect with people interested in AI, GenAI, Supply Chain, Full-Stack Engineering, and Applied Machine Learning.

Experience

1. Software Engineer

   C3 AI

   Feb 2025 — Present · Redwood City, CA, US

   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 accountabilityAI / 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 productionBusiness 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

Education

• Indian Institute of Technology (Indian School of Mines), Dhanbad

  Bachelor of Technology, Electrical, Electronics and Communications Engineering

  2016 — 2020

• University at Buffalo School of Engineering and Applied Sciences

  Masters in computer science

• Udacity

  Deep learning, Machine learning

• SR EDU CENTER

  SSC

  2010 — 2014