RSRohan Sitaniya
@user.25537902
AI Engineer at American Express
Gurugram, India
Rohan Sitaniya is an AI Engineer with 5 years of multidisciplinary experience in Generative AI, Responsible AI, Credit and Fraud Risk, Retail, and Healthcare. He has pioneered an enterprise-wide Responsible AI ecosystem at American Express and developed AI products for business enablement including transaction categorization, complaint insights, and fraud detection. He holds an Integrated Dual Degree in Biotechnology from IIT Kharagpur.
Experience
AI Engineer
American Express
Pioneered an enterprise-wide Responsible AI ecosystem by engineering a Generative AI Governance Framework to identify and mitigate Gen AI model risks. Embedded the Framework with 20+ quantitative & 30+ Qualitative tests for hallucination, bias, stereotype, PII, toxicity etc. Developed Risk monitoring engine using GPT-4 to detect financial distress and risk signals for Obligors from public news.
Machine Learning Intern
Manthan Software Systems
Used deep learning & statistical methods for Predictive Analytics on sparse data. Used BERT and GPT-2 for Personalized Query Auto Completion on proprietary corpus of 1.4M queries.
Research Intern
National Taiwan University (NTU)
Used Big data analytics to analyze massive 32 Giga base-pair genome of Mexican axolotl in an Interdisciplinary project of 3 Labs.
AI Engineer
American Express
Design & Development of AI based Products for Business Enablement in AI Labs. Automated new customer underwriting process using LSTM with 85% accuracy. Developed Complaint Insights Portal and Size of Wallet pay-down model. In MLDS, developed supervised Transformer Models for real-time fraud detection and merchant identification solutions using Document AI.
Education
IIT Kharagpur
Integrated Dual Degree
Biotechnology
Master's Dissertation: ML to classify Human Cancer with Multi-omic Datasets. Classified 14 cancer types with 93.72% accuracy.
Licenses & Certifications
Generative AI: Evaluating and Debugging LLM
LangChain for LLM Application Development
Quality and Safety for LLM Applications
LLMOps AI : NLP Specialization
Deep Learning Specialization
Machine Learning Specialization