Rahul Raj Pandey

Led planning, architecture, and delivery of a cross-cloud migration from AWS to GCP, maintaining hybrid cloud connectivity throughout, and built production back-office automation workflows using LangChain, LangGraph, and Vertex AI.
Designed and delivered 20+ PoCs and production deployments across enterprise clients spanning Agentic AI, RAG pipelines, GenAI automation.

Designed and deployed a Generative AI chatbot workflow using DialogFlow CX, improving customer onboarding satisfaction by 38%. Led GCP infrastructure re-platforming with automated architecture to achieve 20% cost reduction, and architected AI/ML process automation that improved back-office efficiency by 40%.

Conducted R&D on ML model reliability and uncertainty estimation, delivering a solution that outperformed AWS Fortuna by 53%. Researched generative AI for predictive ML and rebuilt an in-house data imputation pipeline using an Optuna-based hyperparameter tuning framework with a novel optimization objective.

Developed deep learning techniques for SAR image despeckling, reducing signal noise by 93% and improving data quality for defence intelligence applications.

Grade: GPA: 8.8 / 10.0

B.Tech in Computer Science Engineering with specialization in AI/ML at Vellore Institute of Technology (VIT).