Available to hire
I am a senior AI/ML engineer with 12+ years of experience delivering scalable AI, ML, and data science solutions across banking, insurance, healthcare, pharmaceutical, and automotive domains. I design production-grade intelligent systems, implement MLOps, and enable data-driven decision making with a focus on governance, security, and reliability.
I specialize in Generative AI and LLM-powered applications, retrieval-augmented generation, vector databases, and multi-agent orchestration. I thrive in cross-functional teams, building cloud-native pipelines and observable AI platforms that reduce hallucinations, improve response quality, and drive business outcomes.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
Work Experience
Senior AI / ML Engineer at Bank of America
June 1, 2025 - PresentImplemented secure multi-agent AI workflows using LangGraph, REST APIs, and Kubernetes (EKS) enabling memory-aware agent orchestration, intelligent task routing, and scalable real-time inference across large-scale banking platforms. Designed and deployed Retrieval-Augmented Generation (RAG) pipelines, LoRA/PEFT fine-tuning, and context-aware agent execution workflows to improve response relevance and reduce hallucinations. Evaluated foundation models including OpenAI, Claude, and AWS Bedrock; selected models based on latency, governance, and production workload characteristics. Built vector search capabilities with Pinecone and pgvector to power semantic retrieval. Delivered production ML solutions for fraud detection and transaction risk scoring using Python, FastAPI, and SageMaker; optimized inference throughput and governance. Implemented end-to-end AI orchestration with LangChain, LangGraph, and MCP on Kubernetes with autoscaling and blue-green deployments. Established enterprise g
AI/ML Engineer at Homesite Insurance
December 1, 2023 - May 1, 2025Designed and delivered production-grade AI solutions for claims and policy servicing using Azure OpenAI Service, LangChain, and REST APIs, enabling faster claim resolution and improved accuracy. Built microservices-based AI applications with document ingestion pipelines, retrieval systems, and secure inference endpoints. Created Azure OpenAI-powered knowledge assistant to support claims and underwriting teams; implemented RAG architectures (embeddings, vector search) with prompt optimization and grounding strategies. Developed pipelines using Python, Azure Functions, Data Factory; managed datasets in Azure SQL and ADLS; integrated with Azure AI Search. Implemented governance controls including prompt versioning, evaluation tracking, auditing, and compliance checks. Containerized inference services with Docker, published to ACR, and deployed scalable endpoints. Implemented CI/CD with Azure DevOps and Terraform/ARM templates for secure, repeatable cloud provisioning. Built monitoring wit
Senior Data Scientist / ML Engineer at McKesson
February 1, 2022 - November 1, 2023Designed and delivered machine learning solutions for pharmaceutical demand forecasting and inventory optimization; end-to-end pipelines for ingestion, feature engineering, model training, and reporting. Integrated AWS S3, RDS, Snowflake; implemented offline evaluation with cross-validation, RMSE/MAE/MAPE metrics; SHAP/LIME explainability. Packaged and deployed models with Docker and AWS SageMaker; deployed in production with governance and reproducibility. Developed lightweight NLP pipelines for supplier communications and operational document analysis; time-series forecasting with Prophet/ARIMA; designed data validation and lineage. Automated ML workflows and reusable pipelines; built explainable AI workflows; collaborated with stakeholders to support procurement and distribution decisions.
Sr. Machine Learning Engineer at Publix Super Markets
October 1, 2020 - January 1, 2022Developed store-level demand forecasting models and customer-driven recommendations to optimize replenishment and promotions. Built churn prediction models for retention initiatives, NLP for product categorization and sentiment analysis, and fraud detection models for transaction monitoring. Implemented pricing analytics and elasticity models to support promotional planning and margin optimization. Automated feature engineering with Python and Spark; delivered Tableau/Power BI dashboards for business stakeholders; performed A/B testing and statistical analysis to measure impact.
Sr. Data Scientist at Delta Airlines
June 1, 2019 - September 1, 2020Developed ML solutions for flight delay prediction, crew allocation optimization, aircraft maintenance forecasting, and operational risk assessment. Built scalable microservices using Python, Flask, REST APIs, and event-driven architecture; designed data ingestion pipelines with Kafka and Hadoop; deployed real-time prediction services via REST endpoints. Containerized AI apps with Docker and deployed across on-premises and cloud environments; automated model deployment and application delivery with CI/CD. Monitored model performance and retrained with updated data to maintain reliability.
Data Scientist / ML Engineer at Ford Motors
June 1, 2016 - May 1, 2019Designed predictive vehicle maintenance and warranty analytics; built end-to-end ETL pipelines, feature stores, and analytical datasets for model training and reporting. Developed predictive models (XGBoost, Random Forest, Logistic Regression) for failure risk and maintenance planning; performed extensive evaluation with cross-validation and ROC-AUC metrics. Integrated ML workflows with Spark/Hadoop and deployed RESTful APIs for internal consumption; containerized applications and automated CI/CD processes. Created dashboards to inform maintenance scheduling and warranty management.
Data Analyst / Process Associate at Apollo
June 1, 2014 - May 1, 2015Developed analytical reporting solutions and supported ETL workflows; gathered and validated healthcare data; built dashboards for hospital management insights and operational performance. Assisted in batch and near real-time data pipelines, collaborating with data engineering to deliver clean, analysis-ready datasets.
Data Analyst / Process Associate at T-Mobile
June 1, 2015 - May 1, 2016Developed customer churn analysis models using Logistic Regression, Random Forest, and XGBoost to identify at-risk subscribers and guide retention strategies. Supported network anomaly detection analysis and operational analytics with batch and streaming pipelines using Apache Kafka and Spark. Performed sentiment analysis on support interactions and collaborated on ETL workflows with data engineering teams. Built dashboards to monitor key performance indicators and improve decision-making for network operations and customer experience.
Data Analyst at Apollo
June 1, 2014 - May 1, 2015Developed customer churn analyses using logistic regression, random forest, and XGBoost to identify at-risk subscribers and support retention campaigns. Assisted in building batch and near real-time data pipelines using Apache Kafka and Apache Spark for telecom operational analytics. Implemented sentiment analysis on customer support interactions and supported KPI reporting and ad hoc analysis to inform business decisions.
Education
Bachelor of Engineering in Computer Science at SRM University
January 11, 2030 - January 1, 2014Bachelor of Engineering in Computer Science at SRM University
January 11, 2030 - January 1, 2014Qualifications
Industry Experience
Financial Services, Healthcare, Life Sciences, Manufacturing, Retail, Transportation & Logistics, Software & Internet, Professional Services, Travel & Hospitality, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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