AI/ML Engineer - Contract at Cigna

Designed and developed production-grade AI applications using Python and LLMs to automate enterprise workflows. Built agentic AI workflows with LangChain and LangGraph to orchestrate multi-step reasoning and autonomous task execution. Developed Retrieval-Augmented Generation pipelines and semantic search using embeddings and vector databases to improve enterprise knowledge retrieval. Implemented prompt and context engineering to boost response accuracy and business relevance. Created scalable REST APIs and microservices, integrated with enterprise APIs and cloud storage, and deployed on Microsoft Azure. Established monitoring, logging, and production support for reliability and performance.

AI/ML Engineer at Cigna

Designed and developed production-grade AI applications using Python and Large Language Models (LLMs) to automate enterprise workflows. Built agentic AI workflows with LangChain and LangGraph for multi-step reasoning, tool execution, and autonomous task completion. Implemented Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. Designed semantic search solutions using vector embeddings and vector databases. Implemented prompt engineering and context engineering strategies to improve response accuracy, consistency, and business relevance. Developed scalable REST APIs and Python-based microservices supporting enterprise AI applications. Integrated AI services with enterprise APIs, authentication services, databases, and cloud storage systems. Built reusable AI orchestration components and AI-powered assistants that automated document retrieval, workflow execution, and intelligent decision support. Deployed AI services on Microso

AI/ML Engineer - Contract at Walgreens Boots Alliance

Built enterprise AI applications integrating LLMs with business systems via scalable REST APIs. Developed AI platform services supporting conversational AI and enterprise knowledge retrieval. Designed and implemented RAG pipelines using embeddings and vector databases. Built semantic search solutions to enhance information retrieval accuracy. Developed AI orchestration workflows across multiple business processes. Created reusable backend services supporting AI assistants and intelligent automation. Integrated AI applications with enterprise databases, APIs, and cloud services; implemented prompt engineering and backend optimizations; supported deployment, monitoring, debugging, and governance of production AI services.

AI/ML Engineer at Walgreens Boots Alliance

Built enterprise AI applications integrating LLMs with business systems through scalable REST APIs. Developed AI platform services supporting conversational AI and enterprise knowledge retrieval. Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases, delivering semantic search improvements. Built reusable backend services supporting AI assistants and intelligent automation. Integrated AI applications with enterprise databases, APIs, and cloud services. Implemented prompt engineering strategies for enterprise AI applications and optimized platform performance through backend tuning and API enhancements. Supported deployment, monitoring, troubleshooting, and continuous improvement of production AI services. Built secure enterprise integration workflows following governance and access control standards. Collaborated with product owners and stakeholders to define AI solution requirements and documented deployment architectures and reu

ML Engineer - Contract at AgFirst

Designed end-to-end ML pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. Built production-grade AI services using Python and microservice architectures. Developed predictive models for classification, forecasting, and analytics. Implemented Retrieval-Augmented Generation components to support enterprise AI solutions. Built scalable pipelines with Python, SQL, Spark, and Databricks; exposed inference via REST APIs; automated CI/CD for AI deployments. Used MLflow for model versioning and experiment tracking; designed automated monitoring and evaluation frameworks; collaborated with stakeholders to deliver enterprise AI capabilities.

ML Engineer at AgFirst

Designed end-to-end machine learning pipelines covering data ingestion, feature engineering, model training, deployment, and monitoring. Built production-grade AI services using Python, FastAPI, and microservice architectures. Developed predictive ML models supporting classification, forecasting, and business analytics. Implemented Retrieval-Augmented Generation (RAG) components for enterprise AI solutions. Built scalable data pipelines using Python, SQL, Spark, and Databricks; exposed inference services via REST APIs. Implemented CI/CD pipelines automating AI deployment and testing. Used MLflow for model versioning, experiment tracking, and lifecycle management; designed automated model monitoring and evaluation frameworks. Integrated ML services with enterprise applications and APIs; optimized AI workloads for scalability and reliability. Documented AI architectures, deployment workflows, and technical standards.

ML Engineer/Data Scientist - Contract at Early Warning's

Developed ML models for fraud detection, risk analytics, anomaly detection, and predictive modeling. Built NLP solutions for document intelligence, text classification, and information extraction. Designed feature engineering pipelines; performed statistical analysis, model evaluation, and performance optimization. Developed enterprise dashboards using Tableau and Power BI. Built scalable analytics workflows supporting enterprise decision-making; implemented governance and quality controls; automated repetitive analytics processes and supported production deployment and monitoring.

ML Engineer/Data Scientist at Early Warning's

Built machine learning models supporting fraud detection, risk analytics, anomaly detection, and predictive modeling. Developed NLP solutions for document intelligence, text classification, and information extraction. Designed feature engineering and data preprocessing pipelines for machine learning applications. Performed statistical analysis, model evaluation, and performance optimization. Developed dashboards using Tableau and Power BI. Built scalable analytics workflows supporting enterprise decision-making. Implemented governance and quality controls across analytics workflows and automated repetitive analytics processes to improve operational efficiency. Supported production deployment, monitoring, and issue resolution, communicating technical findings to stakeholders.

Data Scientist – Full Time at Sonata Software

Built machine learning and analytics solutions for forecasting, segmentation, reporting, and business insights. Developed automated data workflows for collecting, transforming, validating, and analyzing data. Built NLP solutions including text classification and sentiment analysis. Created dashboards and reports using Tableau and Power BI for business users. Collaborated with stakeholders to gather requirements and translate them into analytical solutions; performed data profiling, cleansing, validation, and root cause analysis for reporting issues; supported automation initiatives to improve efficiency.