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I am an AI/ML engineer with 8+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in enterprise environments. I specialize in NLP, transformer-based models, Retrieval-Augmented Generation (RAG), and integrating LLM-powered applications into secure platforms for advisory, clinical, and operational workflows. I have a strong track record across end-to-end ML lifecycle management, including data preparation, feature engineering, model development, validation, and monitoring. I’ve worked with structured and unstructured data in regulated settings and collaborated closely with business stakeholders, compliance teams, and data engineers to translate requirements into practical AI solutions.…I am an AI/ML engineer with 8+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in enterprise environments. I specialize in NLP, transformer-based models, Retrieval-Augmented Generation (RAG), and integrating LLM-powered applications into secure platforms for advisory, clinical, and operational workflows. I have a strong track record across end-to-end ML lifecycle management, including data preparation, feature engineering, model development, validation, and monitoring. I’ve worked with structured and unstructured data in regulated settings and collaborated closely with business stakeholders, compliance teams, and data engineers to translate requirements into practical AI solutions.

HemanthS

Data Scientist, AI Engineer, AI Developer, +2

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I am an AI/ML engineer with 8+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in enterprise environments. I specialize in NLP, transformer-based models, Retrieval-Augmented Generation (RAG), and integrating LLM-powered applications into secure platforms for advisory, clinical, and operational workflows. I have a strong track record across end-to-end ML lifecycle management, including data preparation, feature engineering, model development, validation, and monitoring. I’ve worked with structured and unstructured data in regulated settings and collaborated closely with business stakeholders, compliance teams, and data engineers to translate requirements into practical AI solutions.…I am an AI/ML engineer with 8+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in enterprise environments. I specialize in NLP, transformer-based models, Retrieval-Augmented Generation (RAG), and integrating LLM-powered applications into secure platforms for advisory, clinical, and operational workflows. I have a strong track record across end-to-end ML lifecycle management, including data preparation, feature engineering, model development, validation, and monitoring. I’ve worked with structured and unstructured data in regulated settings and collaborated closely with business stakeholders, compliance teams, and data engineers to translate requirements into practical AI solutions.

Available to hire

I am an AI/ML engineer with 8+ years of experience designing, developing, and deploying machine learning and Generative AI solutions in enterprise environments. I specialize in NLP, transformer-based models, Retrieval-Augmented Generation (RAG), and integrating LLM-powered applications into secure platforms for advisory, clinical, and operational workflows.

I have a strong track record across end-to-end ML lifecycle management, including data preparation, feature engineering, model development, validation, and monitoring. I’ve worked with structured and unstructured data in regulated settings and collaborated closely with business stakeholders, compliance teams, and data engineers to translate requirements into practical AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Generative AI Engineer at Voya Financial

July 1, 2024 - Present

Led generation of a Financial Advisor Copilot using Azure OpenAI (GPT-4), built RAG-based retrieval from SEC filings and compliance documents, and developed LLM-driven summarization workflows for fund reports and disclosures. Implemented SHAP explainability for risk outputs, integrated LLM services into secure .NET Core advisory apps via REST APIs and SignalR, and created semantic search across internal docs using vector databases. Established MLflow for governance, deployed containerized AI services on AKS, and built Power BI dashboards to monitor model performance and adoption. Ensured SEC/FINRA-aligned security controls and bias monitoring, and conducted prompt tuning to reduce hallucinations.

AI/ML Engineer at Centene Corporation

December 1, 2022 - May 1, 2024

Built and maintained ETL pipelines for large-scale EHR and claims datasets (HIPAA-compliant). Transformed 100M+ healthcare records using PySpark/Hive; performed feature engineering and validation. Developed predictive models (Logistic Regression, Random Forest, Gradient Boosting) and survival analysis for patient risk and utilization. Implemented a RAG-based internal knowledge assistant with LangChain, automated internal workflows with lightweight LLM tools, and added speech capabilities to patient engagement tools. Contributed to model governance via MLflow and Kubeflow pipelines, and deployed services on AWS SageMaker and Azure ML with REST APIs and secure deployments.

Data Scientist/ ML Engineer at McKesson

September 1, 2021 - November 1, 2022

Developed transformer-based models (BERT) to classify clinical conditions from unstructured notes; built NLP pipelines with SpaCy to extract drug details; designed anomaly detection for prescribing patterns; created GPT-based clinical documentation summarization tools. Worked with ML techniques (Random Forest, XGBoost, Gradient Boosting) for risk scoring and outcome prediction. Built ETL with NiFi/Azure Data Factory, processed large datasets with Spark MLlib, and deployed containerized inference services on Kubernetes. Ensured privacy-preserving modeling and compliance with HIPAA.

Generative AI Engineer at Charles Schwab

August 1, 2020 - July 1, 2021

Developed LLM-powered tools for financial advisors to generate portfolio summaries and market insights. Built GPT-based documents for client reporting, applied BERT/RoBERTa for sentiment and churn-risk analysis, and designed recommendation systems aligned with client risk profiles. Implemented document summarization workflows, fraud/anomaly detection models, and data pipelines for brokerage data (Snowflake) with deployment on AWS SageMaker. Used MLflow for experiment tracking and exposed models via REST APIs; ensured SEC-compliant governance. Built dashboards to monitor adoption and model performance.

Data Scientist at Kroger

January 1, 2019 - June 1, 2020

Developed root cause analyses for store self-checkout reliability, and predictive models for infrastructure utilization. Applied classification, regression, clustering, and time-series forecasting to derive operational insights. Built ETL pipelines with Apache Airflow and Python to ingest data into BigQuery; developed streaming pipelines with Kafka; deployed ML workflows on Google Cloud (BigQuery, Cloud Composer, GCS). Contributed to a centralized feature store, created REST APIs for downstream apps, and built dashboards to communicate trends and KPIs. Collaborated across teams to scale analytics solutions.

Python Developer at Deloitte

July 1, 2017 - September 1, 2018

Worked on Python applications for RISK management; redesigned Django modules to deliver structured data; built data parsing scripts and analytics workflows using Pandas, NumPy, SciPy, and Matplotlib. Utilized PySpark/Spark MLlib for large-scale datasets and ML experiments; contributed to a data-driven risk platform and performed data processing at scale. Delivered REST APIs, automated data ingestion, and contributed to software delivery using Python in a consulting context.