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Hi there, I’m Anantha Lakshmi, a GenAI/ML engineer with over a decade of experience turning data into practical AI solutions across finance, healthcare, travel, and more. I design and deploy scalable AI systems, champion data governance, and enable real-time decision-making through modern ML pipelines and cloud-native tools. I enjoy collaborating with cross-functional teams to translate business needs into AI-enabled products, from Retrieval-Augmented Generation (RAG) and semantic search to NLP and predictive analytics. My toolkit spans Azure OpenAI, Databricks, TensorFlow, PyTorch, and full-stack development, delivering end-to-end platforms with reliable operations and responsible AI practices.…Hi there, I’m Anantha Lakshmi, a GenAI/ML engineer with over a decade of experience turning data into practical AI solutions across finance, healthcare, travel, and more. I design and deploy scalable AI systems, champion data governance, and enable real-time decision-making through modern ML pipelines and cloud-native tools. I enjoy collaborating with cross-functional teams to translate business needs into AI-enabled products, from Retrieval-Augmented Generation (RAG) and semantic search to NLP and predictive analytics. My toolkit spans Azure OpenAI, Databricks, TensorFlow, PyTorch, and full-stack development, delivering end-to-end platforms with reliable operations and responsible AI practices.

ANANTHA LAKSHMI

AI Engineer, Data Scientist, Data Analyst, +2

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Hi there, I’m Anantha Lakshmi, a GenAI/ML engineer with over a decade of experience turning data into practical AI solutions across finance, healthcare, travel, and more. I design and deploy scalable AI systems, champion data governance, and enable real-time decision-making through modern ML pipelines and cloud-native tools. I enjoy collaborating with cross-functional teams to translate business needs into AI-enabled products, from Retrieval-Augmented Generation (RAG) and semantic search to NLP and predictive analytics. My toolkit spans Azure OpenAI, Databricks, TensorFlow, PyTorch, and full-stack development, delivering end-to-end platforms with reliable operations and responsible AI practices.…Hi there, I’m Anantha Lakshmi, a GenAI/ML engineer with over a decade of experience turning data into practical AI solutions across finance, healthcare, travel, and more. I design and deploy scalable AI systems, champion data governance, and enable real-time decision-making through modern ML pipelines and cloud-native tools. I enjoy collaborating with cross-functional teams to translate business needs into AI-enabled products, from Retrieval-Augmented Generation (RAG) and semantic search to NLP and predictive analytics. My toolkit spans Azure OpenAI, Databricks, TensorFlow, PyTorch, and full-stack development, delivering end-to-end platforms with reliable operations and responsible AI practices.

Available to hire

Hi there, I’m Anantha Lakshmi, a GenAI/ML engineer with over a decade of experience turning data into practical AI solutions across finance, healthcare, travel, and more. I design and deploy scalable AI systems, champion data governance, and enable real-time decision-making through modern ML pipelines and cloud-native tools.

I enjoy collaborating with cross-functional teams to translate business needs into AI-enabled products, from Retrieval-Augmented Generation (RAG) and semantic search to NLP and predictive analytics. My toolkit spans Azure OpenAI, Databricks, TensorFlow, PyTorch, and full-stack development, delivering end-to-end platforms with reliable operations and responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Sr. Gen AI Engineer at Wells Fargo

February 1, 2024 - Present

Designed and delivered Azure-based GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure Functions, Azure SQL Database, and Blob Storage to support enterprise banking use cases. Implemented Retrieval-Augmented Generation (RAG) and semantic search to enhance document discovery and contextual responses. Built scalable ML pipelines with Databricks, Delta Lake, and feature sharing within an MLOps framework, and automated deployment via GitHub Actions and Terraform. Implemented secure governance, model monitoring (MLflow), drift detection, and RBAC alignment for regulated environments. Developed NLP models for classification and information extraction and delivered full-stack components (.NET backend, React frontend) to enable AI-powered user experiences. Collaborated with security, risk, and data engineering teams to ensure compliance and audit readiness.

AI / ML Engineer at Well Med

August 1, 2021 - January 1, 2024

Supported the adoption of AI/ML across enterprise applications using Azure AI services and Azure ML. Built scalable data pipelines with PySpark on Databricks for large-scale training and analytics; designed CI/CD processes with GitHub Actions and Azure DevOps. Implemented secure data access, experiment tracking, and model governance; developed NLP and machine learning models for text classification, document processing, and predictive analytics; led Databricks governance, Delta Lake-based feature stores, and real-time inference integration via .NET/Python backends. Built search and retrieval solutions with Azure Cognitive Search and contributed to early Retrieval-Augmented patterns.

Data Scientist at Expedia

September 1, 2020 - August 1, 2021

Designed and developed scalable data processing pipelines using PySpark and Spark SQL to support large-scale customer and marketing analytics. Built and deployed ML models for customer segmentation, lead scoring, and booking propensity prediction using Python (scikit-learn, XGBoost) and Spark MLlib. Implemented NLP techniques for customer reviews and feedback; created Delta Lake feature datasets for reusable training data; built interactive Power BI dashboards to monitor KPI performance. Integrated models with internal platforms via Python-based REST APIs and supported A/B testing to optimize campaigns.

Data Scientist at State Of TX

April 1, 2019 - August 1, 2020

Collaborated with cross-functional teams to deliver analytics solutions aligned with Texas state security and governance standards. Designed data science workflows in Python, R, and SQL; built ML models for risk assessment, anomaly detection, and forecasting; developed AML analytics for regulatory compliance. Built ETL pipelines with Azure Data Factory, migrated data to Azure Data Lake, and supported Azure ML-based experimentation and batch scoring. Created Power BI dashboards, integrated R analyses with Azure-hosted datasets, and automated Azure resource provisioning via ARM templates and Python SDK. Supported legacy modernization and containerized analytics workloads on AKS.

Data Analyst at Huntington National Bank

October 1, 2017 - March 1, 2019

Participated in full SDLC for data and reporting applications; built data-driven web interfaces, ETL pipelines, and REST APIs; designed MySQL schemas and indexes; performed data validation and quality checks; supported Oracle-based backend systems and production incidents. Developed and maintained Django-based backend components and dashboards; exposed APIs for integration with backend data services; contributed to Agile/Scrum processes and tracked work with JIRA.

Python Developer at AT&T

June 1, 2012 - October 1, 2015

Developed internal web applications with Python, Django, and front-end technologies. Built data movement and processing scripts from MySQL to analytics datasets, designed and maintained MySQL/Oracle schemas, and created REST APIs to support frontend and system integrations. Performed unit testing, debugging, and collaborated in Agile environments.