Anuragreddy Kotla
Generative Ai Dveloper @Sysco
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WORK HISTORY
Generative Ai Dveloper @Sysco
Houston, TX, US
Built AI-powered decision support systems for Inbound food supply chain management, enabling data-driven procurement opportunity decisions.• Developed analytics to identify event-driven demand and supply opportunities, forecasting potential stock availability across Regional Distribution Centers (RDCs) and site-level inventories.• Provided actionable AI-driven recommendations to business teams, optimizing inventory placement, reducing stockouts, and improving procurement efficiency.• Integrated supply chain datasets into LLM-enabled pipelines to deliver near real-time insights for strategic and operational decision-making.• Contributed to the development of Sysco Shop, a unified conversational commerce platform enabling Sales Consultants (SCs) to place customer orders through a single AI-driven chat interface.• Designed and implemented UI-based AI agents that allow Sales Consultants to browse products, manage carts, and place orders within a unified conversational experience.• Leveraged voice-enabled AI capabilities, enabling Sales Consultants to place customer orders using natural language voice interactions, improving speed, accessibility, and ease of use.• Integrated conversational AI workflows end-to-end, connecting chat and voice interfaces with backend data pipelines, inventory systems, and order management services.• Delivered a fully integrated end-to-end AI solution, combining data engineering, LLMs, conversational agents, and supply chain systems to enhance customer experience and operational efficiency.
EDUCATION
Southern Arkansas University
Masters in computer and information Technology, Data science Engineering
VIT_Vellore Institute of Technology
Bachelor's degree, Electrical and Electronics Engineering
ABOUT ANURAGREDDY KOTLA
Over 4+ years of experience as an accomplished Data Scientist, specializing in Generative AI engineering and Data science.• Proficient in developing robust and scalable multi-agent architectures tailored to specific business needs, optimizing performance and resource utilization.• Implemented advanced memory management for Agentic AI by integrating long-term memory storage in Mem0 and short-term memory in a PostgreSQL vector database. Optimized query performance and memory retrieval processes to enhance system efficiency and scalability.• Expertise designing, developing, and deploying large-scale applications using agile DevOps methodologies.• Proficient in leveraging cloud technologies, particularly AWS (Amazon Web Services), to manage cloud development, data lake operations, and data management platforms. • Experienced in deploying LLMs using AWS Bedrock and SageMaker, creating and managing VPCs, S3 buckets, and subnets, connecting Internet Gateways (IGWs), and configuring access for IAM users to ensure secure and efficient cloud operations.• Demonstrated success in integrating and optimizing data science and business intelligence solutions using BI tools like PowerBI, Cognos, and Tableau.• Extensive experience in SQL, Python, and Unix SQL for data analytics, data ingestion, and platform management.• Skilled in implementing CI/CD pipelines using GitHub, Jenkins, Azure DevOps, and Terraform to streamline deployment and operations.• Proven leadership in managing and mentoring teams, driving technological adoption, and improving productivity and efficiency.
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