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Sharanabasu MetriSM
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Sharanabasu Metri

@sharanabasumetri

Senior Data Scientist at OPTUM India building agentic talent intelligence with ~90% accuracy.

India
Message

At OPTUM India, I’m architecting enterprise GenAI applications for HR, including a production-grade talent intelligence and recommendation system designed for ~1,000 users, with ~90% accuracy and ~10-second response latency.

I’ve developed multi-agent workflows for talent discovery, sourcing, candidate evaluation, and recommendations, using GCP A2A architecture, RAG, Knowledge Graphs, and MCP. I also build asynchronous FastAPI services and deploy containerized workloads on Kubernetes running on GCP.

Previously at KPMG INDIA, I led a cross-functional team delivering GenAI projects for enterprise clients including Goldman Sachs, HSBC, Maruti Suzuki, and HPI. At TATA CONSULTANCY SERVICES (TCS), I developed and deployed NLP and ML solutions, including a product sentiment classification model that achieved 90% macro-average precision.

Experience

Work history, roles, and key accomplishments

OI
Current

Senior Data Scientist

Optum India

Dec 2025 - Present (10 months)

Architecting and deploying enterprise GenAI applications for corporate HR use cases, combining Agentic AI, Multi-Agent workflows, GCP A2A architecture, RAG, Knowledge Graphs, and LLM-based reasoning. Developed a production-grade talent intelligence system for ~1,000 users with ~90% accuracy and ~10-second response latency.

KI

Assistant Manager – Senior Data Scientist & GenAI Engineer

KPMG India

Nov 2023 - Dec 2025 (2 years 1 month)

Led a cross-functional team of 3+ engineers delivering 4+ end-to-end GenAI projects with 98% on-time delivery and ~30% average client operational-efficiency improvement. Designed enterprise GenAI solutions including conversational AI, automated audit finding writer, code reviewer, and trade surveillance.

TS

IT Analyst – Senior Machine Learning Engineer

Feb 2017 - Oct 2023 (6 years 8 months)

Developed and deployed NLP and Generative AI solutions, including sentiment analysis, text classification, NER, and semantic similarity. Fine-tuned Flan-T5 for synthetic text generation and built models using BERT, GPT, and Hugging Face Transformers, achieving 90% macro-average precision in product sentiment classification.

Education

Degrees, certifications, and relevant coursework

Visvesvaraya Technological University logoVU

Visvesvaraya Technological University

Bachelor of Engineering, Electronics & Communication Engineering

Grade: 8.8/10

Bachelor of Engineering in Electronics & Communication Engineering from Visvesvaraya Technological University, Belagavi, completed in 2016 with a CGPA of 8.8/10.

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