Prateet Malhotra

Experience

1. Ai Platform Engineer

   Deloitte

   Feb 2024 — Present · Seattle, WA, US

   Owned end-to-end delivery of an enterprise AI data platform powering internal analytics + GenAI use cases (data pipelines, APIs, auth, observability, and deployment). • Architected and productionized RAG pipelines using vector databases, embedding workflows, and LLM orchestration frameworks for document intelligence and decision support. • Built scalable backend systems (FastAPI, REST APIs) integrated with Postgres, Redis, and cloud object storage to support high-volume analytical workloads. • Designed ML infrastructure layer including model versioning, inference services, batch pipelines, and experiment tracking for rapid iteration and deployment. • Improved platform reliability by implementing logging, tracing, monitoring, and CI/CD pipelines (Docker + AWS), reducing failure rates and improving deployment speed. • Developed data processing pipelines (Python, Pandas, PyArrow) to transform large-scale operational datasets into structured formats for BI and ML consumption. • Collaborated cross-functionally with analytics, security, and product teams to convert raw data signals into actionable insights and automated workflows. • Built Power BI dashboards to track SIEM operations, workload distribution, and level-of-effort metrics, directly influencing resource allocation decisions. • Led fast, iterative product development cycles, shipping prototypes to production and refining based on stakeholder feedback.

Education

• Jamnalal Bajaj Institute of Management Studies (JBIMS)

  Master of Business Administration - MBA, Finance, General

• Mithibai College of Arts Chauhan Institute of Science and A.J. College of Commerce and Economics

  Bachelor of Business Administration - BBA, Finance, General

• Northwestern University

  Master's degree, Computer and Information Sciences and Support Services