Generative AI & Agents
RAG, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, prompt engineering, tool calling, AI memory, and MCP.
Senior Gen AI / ML Engineer • Data Scientist • Cloud AI Engineer
I design and build enterprise-grade Generative AI, Agentic AI, RAG, Machine Learning, and Data Engineering platforms across healthcare, financial services, government, travel, and pharma domains.
About Me
I specialize in production-grade AI platforms using LLMs, vector databases, multi-agent orchestration, distributed pipelines, and cloud-native deployment patterns.
My work spans clinical AI copilots, semantic search over enterprise repositories, predictive analytics, mortgage risk platforms, financial forecasting, anomaly detection, recommendation systems, and full-stack analytics automation.
Expertise
RAG, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, prompt engineering, tool calling, AI memory, and MCP.
TensorFlow, PyTorch, Scikit-learn, XGBoost, NLP, forecasting, anomaly detection, deep learning, and model evaluation.
Spark, PySpark, Databricks, Kafka, Flink, Airflow, dbt, Delta Lake, BigQuery, Snowflake, and Redshift.
AWS, Azure, GCP, SageMaker, Azure ML, Vertex AI, MLflow, Kubeflow, Docker, Kubernetes, Terraform, and CI/CD.
Pinecone, Milvus, FAISS, ChromaDB, hybrid retrieval, semantic search, embedding pipelines, Redis caching, and inference optimization.
Langfuse, Ragas, TruLens, Prometheus, Grafana, OpenTelemetry, CloudWatch, ELK, model monitoring, and drift detection.
Tech Stack
Featured Work
Enterprise healthcare AI platform using RAG, LangChain, LangGraph, GPT-4, Azure OpenAI, Pinecone, ChromaDB, Spark, Databricks, BigQuery, FastAPI, and Kubernetes.
ML platform for delinquency risk, borrower segmentation, refinancing optimization, real-time scoring APIs, and financial dashboards.
Government analytics platform using Spark, Kafka, AWS Glue, Redshift, Snowflake, dbt, anomaly detection, and executive dashboards.
Data engineering and ML workflows for travel booking analytics, demand forecasting, recommendation features, and Snowflake warehouse modeling.
Experience
Generative AI, RAG, clinical copilots, FHIR/HL7 integration, predictive analytics, and healthcare data lakehouse design.
Mortgage risk modeling, borrower analytics, ML pipelines, real-time scoring services, and risk intelligence dashboards.
Forecasting, budget analytics, anomaly detection, fraud monitoring, compliance visibility, and secure cloud analytics.
Demand forecasting, recommendation systems, NLP analytics, Python full-stack development, and operational automation.
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