BHARATH REDDY

GenAI Manager and Principal AI Architect with 18+ years of experience leading large-scale AI, ML, and cloud engineering programs across enterprise environments. Proven track record of building and managing high-performing teams to design, deploy, and scale Generative AI platforms including LLMs, RAG pipelines, Agentic AI systems, and multimodal intelligence solutions. Experienced in translating business strategy into AI roadmaps, establishing LLMOps/MLOps best practices, and delivering measurable outcomes in efficiency, cost optimization, and customer engagement. Strong leader known for stakeholder alignment, technical excellence, and driving production-grade AI systems on OCI and multi-cloud ecosystems.

• Azure Certified Data Scientist Associate
• Azure Certified Data Engineer Associate
• Project Management Professional (PMP)
• CCA Certified Spark and BigData Developer
• Sun Certified Java Programmer (Java 1.6)
• OCI Certified AI Foundations Associate
• OCI Certified Infrastructure Foundations Associate

• Architected enterprise-wide RAG assistant integrating domain knowledge base and LLM context retrieval, reducing search time by 60%.
• Implemented automated LLMOps pipeline for fine-tuning, versioning, and rollout of domain-specific LLMs across multiple business units.
• Led development of multi-agent RAG system enabling autonomous task planning and contextual reasoning across enterprise workflows.
• Architected a Generative AI chatbot leveraging RAG and domain fine-tuning, driving +22% lead conversion, -35% handling time, and +40% user engagement.
• Designed a multimodal AI platform integrating textual, numerical, and sentiment data, improving predictive accuracy by 18%, reducing latency by 25%, and automating 60% of risk assessments.
• Optimized Azure ADF batch processing pipeline, achieving a 25% reduction in processing time and annual cost savings of $550K through advanced performance tuning.
• Developed a vendor segmentation algorithm in Python that boosted sales and increased market share by 28%, enabling targeted go-to-market strategies.
• Designed and implemented a reusable Data Quality Framework to assess and monitor enterprise data integrity across multiple systems.
• Automated key operational tasks by creating Shell/Python scripts for statistical data collection, server connectivity monitoring, data loading, and auto-configuration of newly onboarded ML clients.
• Applied advanced clustering and regression analysis to resolve vendor consolidation challenges, delivering cost savings of $3 million USD.

• Senior Principal Member of Technical Staff, Oracle, 01/21, Present
• Lead Big Data Engineer, Walmart Labs, 01/18, 01/21
• Position, Samsung India R & D Institute, Bangalore, 06/14, 01/18
• Position, RSA (EMC^2) India (P)Ltd, Bangalore, 11/11, 06/14
• Position, IBM India (P) Ltd, Bangalore, 08/10, 11/11
• Position, HUAWEI Technologies (p) Ltd, Bangalore, 08/08, 08/10
• Position, TCS, Bangalore, 09/06, 08/08