AI/ML engineer with 11+ years of experience, including 7+ years embedded in Best Buy’s retail technology ecosystem and 2+ years building production-grade agentic AI systems. Delivered multi-agent LLM pipelines, multimodal RAG systems, and cloud-native AI APIs that scale to real-world enterprise workloads. Combines deep retail domain expertise across POS, OMS, and store operations with hands-on platform capabilities in Azure OpenAI, Semantic Kernel, LangChain, FAISS, and GCP—bridging applied AI research and production engineering in regulated, enterprise environments.

Bhasyam Gayathri

AI/ML engineer with 11+ years of experience, including 7+ years embedded in Best Buy’s retail technology ecosystem and 2+ years building production-grade agentic AI systems. Delivered multi-agent LLM pipelines, multimodal RAG systems, and cloud-native AI APIs that scale to real-world enterprise workloads. Combines deep retail domain expertise across POS, OMS, and store operations with hands-on platform capabilities in Azure OpenAI, Semantic Kernel, LangChain, FAISS, and GCP—bridging applied AI research and production engineering in regulated, enterprise environments.

Available to hire

AI/ML engineer with 11+ years of experience, including 7+ years embedded in Best Buy’s retail technology ecosystem and 2+ years building production-grade agentic AI systems. Delivered multi-agent LLM pipelines, multimodal RAG systems, and cloud-native AI APIs that scale to real-world enterprise workloads.

Combines deep retail domain expertise across POS, OMS, and store operations with hands-on platform capabilities in Azure OpenAI, Semantic Kernel, LangChain, FAISS, and GCP—bridging applied AI research and production engineering in regulated, enterprise environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
Chinese
Intermediate
Japanese
Intermediate
French
Intermediate
German
Intermediate
Spanish; Castilian
Intermediate

Work Experience

AI/ML Computational Science Specialist at Accenture
August 1, 2024 - Present
Served as SME across Best Buy’s core retail systems including Point of Sale, Enterprise Returns, Tax Refunds, and Field Management System failure resolution, preventing $20K financial exposure. Built an automated order-status reconciliation system between FMS and OMS, reducing ticket backlog by 20%. Led application management operations for Best Buy’s retail technology stack for 7 years, driving automation that reduced manual intervention by 20% and improved store workflow efficiency. Improved data reporting reliability by 25% through cross-functional collaboration with in-store operations. Built production observability infrastructure covering 1,100 stores using Grafana and Splunk with SQL-based alert queries to detect anomalous POS behavior and reduce MTTR.
AI/ML Computational Science Specialist at Accenture
August 1, 2014 - August 1, 2024
Led delivery of production-grade agentic and retrieval-based AI systems aligned to Best Buy retail needs, including semantic product search and multimodal RAG approaches. Implemented multi-stage pipelines, model orchestration, evaluation, and production resiliency patterns for enterprise deployments.

Education

Masters in Data Science at LJMU University
February 1, 2025 - February 1, 2026
Executive PG in Data Science at International Institute of Information Technology Bangalore
June 1, 2023 - June 1, 2024
Bachelor of Technology in Electronics and Instrumentation Engineering at Sastra University, Thanjavur
June 1, 2010 - April 1, 2014

Qualifications

Microsoft DP-100 Azure Data Science Associate
December 1, 2025 - July 7, 2026
GitHub Copilot Certification
April 1, 2025 - July 7, 2026
Anthropic Claude Certified (Architect - Foundations)
July 1, 2026 - July 7, 2026

Industry Experience

Retail, Software & Internet, Computers & Electronics, Professional Services