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I am an AI Engineer with 2+ years of experience building AI-powered applications, backend systems, and ML solutions across enterprise, fintech, and healthcare domains. I enjoy turning complex data into automated decisions and delivering scalable, production-ready AI features. My focus areas include LLM-powered workflows, Retrieval-Augmented Generation (RAG), NLP pipelines, and scalable APIs using Python, FastAPI, and AWS. I thrive on designing robust backend services, deploying ML models, and enabling automation and knowledge discovery at scale to improve decision-making and efficiency.…I am an AI Engineer with 2+ years of experience building AI-powered applications, backend systems, and ML solutions across enterprise, fintech, and healthcare domains. I enjoy turning complex data into automated decisions and delivering scalable, production-ready AI features. My focus areas include LLM-powered workflows, Retrieval-Augmented Generation (RAG), NLP pipelines, and scalable APIs using Python, FastAPI, and AWS. I thrive on designing robust backend services, deploying ML models, and enabling automation and knowledge discovery at scale to improve decision-making and efficiency.

N. Upendra

AI Engineer, Back-End Developer, Web Developer, +2

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I am an AI Engineer with 2+ years of experience building AI-powered applications, backend systems, and ML solutions across enterprise, fintech, and healthcare domains. I enjoy turning complex data into automated decisions and delivering scalable, production-ready AI features. My focus areas include LLM-powered workflows, Retrieval-Augmented Generation (RAG), NLP pipelines, and scalable APIs using Python, FastAPI, and AWS. I thrive on designing robust backend services, deploying ML models, and enabling automation and knowledge discovery at scale to improve decision-making and efficiency.…I am an AI Engineer with 2+ years of experience building AI-powered applications, backend systems, and ML solutions across enterprise, fintech, and healthcare domains. I enjoy turning complex data into automated decisions and delivering scalable, production-ready AI features. My focus areas include LLM-powered workflows, Retrieval-Augmented Generation (RAG), NLP pipelines, and scalable APIs using Python, FastAPI, and AWS. I thrive on designing robust backend services, deploying ML models, and enabling automation and knowledge discovery at scale to improve decision-making and efficiency.

Available to hire

I am an AI Engineer with 2+ years of experience building AI-powered applications, backend systems, and ML solutions across enterprise, fintech, and healthcare domains. I enjoy turning complex data into automated decisions and delivering scalable, production-ready AI features.

My focus areas include LLM-powered workflows, Retrieval-Augmented Generation (RAG), NLP pipelines, and scalable APIs using Python, FastAPI, and AWS. I thrive on designing robust backend services, deploying ML models, and enabling automation and knowledge discovery at scale to improve decision-making and efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at Moveworks

September 1, 2024 - Present

Engineered Python and FastAPI-based backend services powering AI-driven workflow automation and enterprise search. Built Retrieval-Augmented Generation (RAG) pipelines using LangChain and vector databases to improve contextual accuracy. Integrated LLM APIs into intelligent automation workflows for document understanding, semantic search, and employee support. Designed scalable AWS-based APIs and backend systems for document ingestion, embedding generation, and inference workflows. Developed structured and unstructured data ingestion pipelines to strengthen semantic search and improve knowledge discoverability. Implemented prompt evaluation and response validation workflows and collaborated across teams to productionize AI features, boosting deployment readiness and response quality.

AI/ML Engineer at Quantiphi

January 1, 2022 - August 1, 2022

Developed machine learning solutions for financial and healthcare clients using Python and AWS. Built anomaly detection pipelines to identify suspicious transaction behavior and strengthen fraud monitoring. Designed and deployed FastAPI-based REST APIs for scalable real-time and batch ML inference. Implemented model monitoring to detect prediction drift and maintain production model stability. Built NLP-based document classification and information extraction workflows for healthcare datasets and supported Dockerized CI/CD deployments.