Ramana Miryala, PhD

Enterprise AI Platform Leader · Senior Manager, Data Science at American Express

Resume Versions

Three formats tailored for different audiences and contexts.

Director Resume

Positioning as Director of Enterprise AI — leadership scope, platform impact, and business transformation.

Request Resume

Distinguished Engineer Resume

Deep technical positioning — AI architecture, platform design, research contributions, and engineering excellence.

Request Resume

Executive Biography

Narrative biography for speaker introductions, conference programs, advisory boards, and executive profiles.

Request Biography

Professional Experience

Jan 2023 – Present

Senior Manager, Data Science

American Express

Current

Leading Enterprise AI Platform development — GPT-5, Enterprise RAG, Agentic AI, GPU infrastructure, and AI governance for global financial services operations.

Feb 2021 – Mar 2022

Senior Delivery Manager, AI Tower

Legato Health Technologies

Led AI Tower building HealthOS — multimodal healthcare AI platform supporting 40M+ members with computer vision diagnostics, NLP chatbots, and live monitoring.

Jan 2018 – Jan 2021

Delivery Head / Principal Data Scientist

Cyient Insights

Led 100+ AI professionals delivering computer vision platforms for satellite imagery, LiDAR, and 3D asset detection across automotive, utilities, and aerospace clients globally.

Jul 2019 – Jan 2021

Principal Data Scientist

Thyssenkrupp Elevator

Built TKE MAX — predictive maintenance platform scaled to 200K+ elevators across USA, Germany, and Spain using Azure Databricks, IoT sensors, and supervised ML.

Jan 2018 – Jul 2019

Principal Data Scientist

Pratt & Whitney

Built aeroengine prognostics and diagnostics platform — combustion distress forecasting using sensor time-series and engineering intelligence tools.

2010 – 2018

Principal / Lead Data Scientist

Various Consulting & Analytics Roles

Delivered optimization and analytics solutions across metals manufacturing, airline scheduling, FMCG demand forecasting, and telecom operations across multiple enterprise clients.

Academic Background

2004–2009

PhD, Decision Sciences

Indian Institute of Science (IISc), Bangalore

Parallel batch processor scheduling, metaheuristics, ant colony optimization

2002–2004

M.Tech, Industrial Engineering

NIT Calicut (National Institute of Technology)

Stochastic transportation optimization, chance-constrained programming

Technical Expertise

Generative AI & LLMs

GPT-5ClaudeGeminiLLaMARAGAgentic AIMCPPrompt Eng.

ML & Computer Vision

Deep LearningTensorFlowPyTorchCVNLPTime Series

Platform & Infrastructure

AWS SageMakerAzure DatabricksGPU PlatformsMLOpsLLMOps

Programming

PythonPySparkSQLJavaMATLABC