Looking for a job

Rahul Rathore

@rahulrathore3

Senior Data Scientist at Sanofi building agentic AI for scientific protocol drafting; the application has saved $6M in costs.

India

Message

What I'm looking for

I'm seeking an assignment in the Advanced AI and Machine Learning domain with a growth-oriented organization.

At Sanofi, I built a cost-efficient, low-latency agentic AI backend for GenAir MSAT, an application that drafts scientific protocols for manufacturing and supply chain. It supports document question answering, chart plotting, statistical analysis, image extraction, and summarization; the application has saved $6M in costs.

I also built scalable document pipelines that extract content from formats including PDF, DOCX, JSON, and Excel, then prepare it for RAG-based querying. Context compression, prompt caching, and model routing improved context management and token consumption.

Previously, at Bloom Energy, I developed machine-learning models and algorithms for fuel-cell performance, including a production regression model to predict peak core temperature and a clustering algorithm for identifying poorly performing fuel cells. I received Bloom Energy's Invention Award for an unsupervised PIP recommender algorithm.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Sanofi

Dec 2024 - Present (1 year 10 months)

Developed GenAI applications for scientific protocol drafting, reducing drafting time from weeks to hours and saving $6M in costs. Built scalable data loader pipelines and agentic architectures for document querying and analysis.

GenAI RAG Agentic AI Pinecone Python Azure DevOps AWS S3 Amazon EKS PyTorch Airflow Prompt Engineering Context Engineering Data Engineering

Senior Data Scientist

Baker Hughes

Dec 2022 - Dec 2024 (2 years)

Built advanced NLP-based search APIs with vector semantic search and ranking capabilities. Developed large-scale data curation pipelines using semi-supervised ML models and Airflow.

NLP BERT KNN OpenSearch Airflow S3 PostgreSQL Data Engineering Machine Learning

Senior Engineer-Data Analytics

Bloom Energy

Feb 2020 - Dec 2022 (2 years 10 months)

Filed a patent for an unsupervised clustering algorithm to identify poorly performing fuel cells. Developed regression, clustering, sequence-to-sequence, and survival models to improve fuel cell performance and reliability.

Machine Learning Clustering regression LSTM Computer Vision Variational Auto Encoders Survival Analysis Bayesian Statistics Python

Assistant Manager

TATA Power

Oct 2018 - Jan 2020 (1 year 3 months)

Managed cost-efficient energy procurement and built predictive models for consumer bill prediction and outage detection. Developed tools for energy price forecasting and churn analysis.

R LSTM Random Forest XGBoost Time Series Analysis predictive modeling Data Analysis

Executive – Power System Operations

TATA Power

Jul 2013 - Oct 2018 (5 years 3 months)

Supported back-office processes for efficient energy management and delivered actionable insights. Developed tools for fault location, demand forecasting, and automated report generation.

R VBA Excel Logistic Regression Decision Trees Time Series Analysis Data Analysis