Babu B

About Babu B

As a Senior AI Engineer with 5+ years of experience, I specialize in building and deploying production-grade AI and LLM solutions. I\'ve reduced manual processing by 30% through semantic search and RAG workflows and delivered measurable ROI for enterprise clients. My expertise includes designing end-to-end LLM applications, distributed data pipelines, and scalable microservices on Azure and AWS. I\'m proficient in Python, PyTorch, TensorFlow, Spark, Databricks, Airflow, and modern MLOps tooling. I thrive in collaborative environments and am passionate about leveraging AI to solve complex problems. I am currently seeking opportunities to apply my expertise to financial services innovation and drive significant impact. Connect with me to discuss how I can contribute to your team\'s success.

Experience

1. Ai Engineer

   CVS Health

   Jun 2025 — Present

   Delivered AI and ML engineering solutions for enterprise clients using Python, SQL, Azure Cloud, and Databricks, enabling automation, predictive analytics, and operational intelligence within Agile/SCRUM processes using Jira.* Built end-to-end LLM applications including embeddings pipelines, semantic retrieval, prompt engineering, RAG workflows, and spaCy for advanced NLP to automate knowledge extraction and improve decision systems.* Modernized legacy workflows by implementing distributed data pipelines using Spark, Delta Lake, and Airflow, improving the performance and scalability of ML data processing by 25%.* Developed production-ready REST APIs and microservices for real-time inference, integrating LLM-based features into client applications using FastAPI and Azure Functions.* Conducted AI quality evaluation, drift analysis, and error diagnostics to improve model performance and business value, including ROI-focused metrics for stakeholders, increasing model accuracy by 15%.**Accenture, Junior AI Designed and deployed production-grade AI and Generative AI systems in the FinTech domain using Python, SQL, Azure, and Databricks, supporting large-scale enterprise workflows.* Built LLM-powered applications using AI Agentic Programming frameworks, embeddings, vector search, Retriever-LLM pipelines, and advanced RAG architectures with LangChain and LlamaIndex.* Developed high-throughput semantic search and document intelligence systems leveraging Pinecone/Chroma vector databases and transformer-based embedding models, reducing search latency by 20%.* Implemented LLM-based automation for summarization, classification, and clinical/operational text extraction, reducing manual processing by 30%+

Education

• Webster University

  Master's degree, Information Technology

• Lovely Professional University (LPU)

  Bachelor of Technology - BTech, Computer Science