AI and Data Solutions Engineer — Senior Consultant
Deloitte Consulting India Pvt Ltd — Application DevOps, Data DevOps & LLMOps across the end-to-end data product lifecycle
- Designed and operationalized an enterprise MLOps framework across 5+ ML use cases, cutting deployment cycle time by 50%.
- Built CI/CD for ML components on Azure DevOps with a centralized Artifacts feed for versioning Python packages, reducing manual integration effort by 20%.
- Deployed models to Kubernetes for batch and real-time inference, supporting 100k+ inferences per month in production.
- Built Streamlit applications for data exploration and model inference, with authentication and access controls for secure self-service.
- Established DataOps standards and CI/CD frameworks across 2,000+ data pipelines and 3 environments for Ebusiness and CX platforms.
- Developed "Operate," an LLM-based incident-assist tool that recommends ServiceNow resolutions from historical incident data, lifting support-team productivity by 30%.
- Built "Docuflow," an automated documentation agent for ADF pipelines, SQL objects and Databricks notebooks — documenting 5,000+ assets and cutting manual effort by 50%.
- Shipped "Talk to Code," a RAG chatbot over a Databricks vector database built from Docuflow's wiki output, for natural-language access to platform knowledge.
- Defined a DevSecOps framework standardizing promotions across ADF, Databricks, Synapse, SQL Server, Function Apps and Logic Apps, reducing deployment defects by 50%.