I am an AI/ML Engineer with a track record of delivering production-grade AI systems across healthcare, pharma, and finance. I specialize in building scalable ML pipelines, RAG-based assistants, and real-time intelligence using technologies like Kafka, Spark, SageMaker, LangChain, and Hugging Face, with a strong emphasis on reliability and Responsible AI. I enjoy translating complex problems into secure, ethical, and impactful AI solutions that drive measurable business value. I thrive in Agile environments, mentor junior engineers, and collaborate with cross-functional teams to ship robust ML solutions, observe performance, and provide executive dashboards that support strategic decision-making while maintaining HIPAA and GDPR compliance for patient-facing applications.

Neeraj B

I am an AI/ML Engineer with a track record of delivering production-grade AI systems across healthcare, pharma, and finance. I specialize in building scalable ML pipelines, RAG-based assistants, and real-time intelligence using technologies like Kafka, Spark, SageMaker, LangChain, and Hugging Face, with a strong emphasis on reliability and Responsible AI. I enjoy translating complex problems into secure, ethical, and impactful AI solutions that drive measurable business value. I thrive in Agile environments, mentor junior engineers, and collaborate with cross-functional teams to ship robust ML solutions, observe performance, and provide executive dashboards that support strategic decision-making while maintaining HIPAA and GDPR compliance for patient-facing applications.

Available to hire

I am an AI/ML Engineer with a track record of delivering production-grade AI systems across healthcare, pharma, and finance. I specialize in building scalable ML pipelines, RAG-based assistants, and real-time intelligence using technologies like Kafka, Spark, SageMaker, LangChain, and Hugging Face, with a strong emphasis on reliability and Responsible AI. I enjoy translating complex problems into secure, ethical, and impactful AI solutions that drive measurable business value.

I thrive in Agile environments, mentor junior engineers, and collaborate with cross-functional teams to ship robust ML solutions, observe performance, and provide executive dashboards that support strategic decision-making while maintaining HIPAA and GDPR compliance for patient-facing applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

AI/ML Engineer at CVS Health
August 1, 2024 - Present
Delivered advanced AI/ML solutions across healthcare and pharmacy platforms focusing on generative AI, real-time intelligence, and large-scale ML pipelines. Designed and deployed ML pipelines and real-time AI services processing over 10 million monthly transactions. Built a real-time fraud detection system using Isolation Forest and clustering algorithms reducing fraud by 20%, saving annually in prescription claims. Developed Kafka–Snowflake streaming pipelines with observability and TDD. Assisted in building a secure RAG-based knowledge assistant reducing internal query resolution time. Developed a pharmacy chatbot with LangChain and LangGraph reducing support response times by 35%. Applied time-series forecasting for dynamic pharmacy pricing. Automated monitoring and retraining pipelines ensuring model stability. Integrated Responsible AI practices ensuring HIPAA and GDPR compliance. Delivered executive dashboards and mentored junior engineers to improve GenAI workflows.
AI/ML Engineer (NLP, GenAI, MLOps) at Accenture
August 31, 2023 - September 4, 2025
Delivered scalable machine learning and NLP solutions across healthcare, pharma, and manufacturing. Enhanced ML pipelines by integrating generative AI for document classification and compliance. Designed batch and real-time processing pipelines handling over 10 million records. Created intelligent automation for document processing in compliance-driven environments. Implemented model evaluation, tracking, and retraining workflows reducing deployment lead time. Optimized infrastructure costs via containerization and serverless platforms. Ensured HIPAA and GDPR compliance through encryption and role-based access. Built Power BI dashboards to visualize KPIs and ROI. Contributed to internal best practices on MLOps and NLP model tuning.
AI/ML Engineer at CVS Health
August 1, 2024 - Present
Delivered advanced AI/ML solutions across healthcare and pharmacy platforms, focusing on generative AI, real-time intelligence, and large-scale ML pipelines. Designed and deployed ML pipelines and real-time AI services to process large volumes of healthcare data, supporting 10M+ monthly transactions across pharmacy and insurance operations. Built a real-time fraud detection system using Isolation Forest and clustering algorithms, reducing fraudulent activity and optimizing prescription claims. Developed a Kafka–Snowflake streaming pipeline with observability and TDD practices. Assisted in secure production-grade RAG-based knowledge assistants using LangChain and Azure OpenAI. Built LangChain + LangGraph pharmacy chatbot with LangSmith evals for reliability and frontend integration, reducing internal query resolution time. Applied Prophet-based time-series forecasting to optimize dynamic pricing. Implemented automated monitoring and retraining pipelines using MLflow, Airflow, and Sage
AI/ML Engineer (NLP, GenAI, MLOps) at Accenture
August 31, 2023 - October 15, 2025
Delivered scalable ML and NLP solutions across healthcare, pharma, and manufacturing. Enhanced traditional pipelines with early integration of generative AI components for document processing and classification. Designed scalable pipelines using TensorFlow, PyTorch, and AWS SageMaker for batch and real-time processing of 10M+ records. Implemented model evaluation, tracking, and retraining workflows with MLflow and Airflow, reducing deployment lead time and improving model stability. Built dashboards to visualize model performance and ROI, and ensured HIPAA/GDPR compliance through encryption, RBAC, and federated data pipelines. Contributed to internal MLOps knowledge bases and best practices.

Education

Masters in Data Science at Illinois Institute of Technology
January 11, 2030 - September 4, 2025
Bachelors in Computer Science at Jawaharlal Nehru Technological University
January 11, 2030 - September 4, 2025
Master of Science in Data Science at Illinois Institute of Technology
January 11, 2030 - October 15, 2025
Bachelor of Science in Computer Science at Jawaharlal Nehru Technological University Hyderabad
January 11, 2030 - October 15, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Financial Services, Professional Services