Summary
Vamshikrishna Bandari is a Lead Data Scientist and Gen AI strategist with 8 years of experience architecting production-grade AI platforms across telecom, retail, healthcare, and supply chain. He combines deep expertise in RAG/agentic LLMs, knowledge graphs, multimodal CV, and time-series forecasting to deliver measurable business impact—driving over $18M in client savings, 10× productivity gains, and tangible SLA/MTTR improvements. He has designed and deployed seven enterprise AI platforms, including large-scale Ticketify and TEDSS systems that achieved 80%+ ticket resolution accuracy and $18.3M annual savings respectively. Comfortable spanning research and ops, he embeds MLOps, governance, and Responsible AI into deployments while mentoring teams of 8–15 engineers and presenting strategy to executives. Less obvious: he blends low-latency edge-cloud CV designs with agent orchestration patterns (LangGraph, MCP) to enable stateful, multi-channel automation. Based in Hyderabad, he’s actively building repeatable GenAI playbooks for enterprises that balance accuracy, latency, and auditability.
8 years of coding experience
4 years of employment as a software developer
Schooling, SSC, Schooling, SSC at ZPPSS
HSC, MPC, HSC, MPC at NRI Junior Kalasala
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Kalasalingam University
English, Telugu, Hindi, Tamil