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Sri Darukumalli

@sridarukumalli

Lead AI Data Scientist at Halliburton, architecting tender-review agents with source-grounded findings and human approval gates.

United States

Message

What I'm looking for

I’m looking to apply my experience translating complex business needs into practical AI and analytics solutions, from early discovery through delivery and ongoing support. I value reliable results, transparent communication, continuous improvement, and long-term business value.

At Halliburton | Halliburton Digital Solutions, I architect Python agent workflows for tender review and lead qualification. I designed a traceable process that moves from document intake and evidence retrieval to reviewer approvals.

I built repeatable LLMOps evaluations using 42 golden cases, comparing Azure AI Foundry variants that scored 0.966 and 0.943. I also integrated authenticated Salesforce REST APIs with idempotency guards, retries, and traceable record updates.

At PNC Bank, I built banking knowledge workflows using Python, RAG, and secure REST services, and deployed AI/ML services on AWS. I also developed fraud and anomaly models and completed a Microsoft Copilot Studio production rollout.

Earlier, at Johnson & Johnson, I worked on document classification and source-grounded retrieval for regulated healthcare content. At Costco Wholesale, the State of Alabama, and Mercedes-Benz, I developed analytical datasets, models, and reporting for retail, public-sector, and automotive teams.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Data Scientist / AI Architect

Current

Halliburton

May 2026 - Present (6 months)

Architected modular Python agent workflows for tender review and lead qualification, including RAG pipelines, LLMOps evaluation, and Salesforce integration. Designed multi-stage processing with human-in-the-loop review and traceable findings.

Senior AI Engineer

PNC Bank

Oct 2023 - Apr 2026 (2 years 6 months)

Built Python NLP/LLM services for banking knowledge workflows, including RAG, agentic AI, and AWS-based ML pipelines. Evaluated model variants, monitored inference, and applied LLMOps and security controls.

Python NLP LLM RAG Lang Chain LangGraph Crew AI AWS Sagemaker S3 Lambda Step Functions Cloudwatch Flask Docker Terraform Git CI CD scikit learn PyTorch SQL AWS Transcribe PEFT MLOps LLMOps IAM OAuth RBAC

Data Scientist

Johnson & Johnson

Nov 2020 - Sep 2023 (2 years 10 months)

Developed document ingestion and classification workflows for clinical and regulatory content, including NLP pipelines, source-grounded retrieval, and model evaluation. Built Flask REST endpoints and Docker-packaged inference components.

Python NLP PyTorch Hugging Face Lang Chain Neo4j Flask Docker AWS SQL Pandas NumPy scikit learn REST APIs MLOps Privacy Controls

Data Scientist

Costco Wholesale

Dec 2018 - Jul 2020 (1 year 7 months)

Framed recommendation modeling for product discovery and member engagement, built Spark/PySpark and Databricks jobs for feature preparation, and developed propensity models and segmentation.

Python SQL Spark PySpark Databricks Kafka Collaborative Filtering Feature Engineering Recommendation Systems scikit learn Pandas NumPy

Data Analyst

State of Alabama

Mar 2016 - Nov 2018 (2 years 8 months)

Defined SQL KPI logic and built ETL workflows for program data, created Tableau dashboards, and implemented data-quality checks for recurring reporting.