A results-driven Data Engineering & AI/ML Engineer with expertise in architecting scalable end-to-end data platforms using Apache Spark, Kafka, and Airflow on AWS/GCP; containerizing microservices with Docker & Kubernetes; and managing infrastructure as code with Terraform. Skilled in MLOps—leveraging MLflow, Kubeflow, and CI/CD pipelines—to productionize deep learning and LLM-based applications in Python, Scala, and PyTorch. I excel at transforming complex datasets into interactive dashboards with Plotly/Dash and deploying intelligent agents that deliver real-time, actionable insights.
-
🔭 An AI-driven Parenting Agent using Google’s ADK and FatSecret integration for nutrition & medical guidance. Parenting Agent
-
🌱 I’m currently mastering advanced MLOps and CI/CD with Kubeflow Pipelines, Argo Workflows, and GitOps while building retrieval-augmented LLM applications using vector search engines like FAISS and Pinecone. Diving into real-time data pipelines with Apache Kafka, Flink, and ksqlDB, infrastructure as code via Terraform and Pulumi, and graph data modeling in Neo4j for relationship-driven analytics.
-
👯 I am interested to work on Open-source AI assistants & chatbots
-
⚡ Fun fact 🌐 My side project is a live dashboard tracking global La Niña forecasts.
