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AI/ML Engineer with 2+ years of experience building enterprise Generative AI applications using LLMs, OpenAI APIs, and Retrieval-Augmented Generation (RAG) with vector databases like Pinecone and FAISS. Experienced in prompt engineering, semantic search, and building AI chatbots and document summarization systems. Strong backend engineering background in Java/Spring Boot microservices and cloud-native deployment on AWS/Azure with Docker, Kubernetes, and CI/CD. Skilled in orchestrating AI workflows, integrating model APIs, and monitoring production systems for healthcare and financial services.…AI/ML Engineer with 2+ years of experience building enterprise Generative AI applications using LLMs, OpenAI APIs, and Retrieval-Augmented Generation (RAG) with vector databases like Pinecone and FAISS. Experienced in prompt engineering, semantic search, and building AI chatbots and document summarization systems. Strong backend engineering background in Java/Spring Boot microservices and cloud-native deployment on AWS/Azure with Docker, Kubernetes, and CI/CD. Skilled in orchestrating AI workflows, integrating model APIs, and monitoring production systems for healthcare and financial services.

Sujan L

AI Engineer, DevOps Developer, Data Scientist, +3

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AI/ML Engineer with 2+ years of experience building enterprise Generative AI applications using LLMs, OpenAI APIs, and Retrieval-Augmented Generation (RAG) with vector databases like Pinecone and FAISS. Experienced in prompt engineering, semantic search, and building AI chatbots and document summarization systems. Strong backend engineering background in Java/Spring Boot microservices and cloud-native deployment on AWS/Azure with Docker, Kubernetes, and CI/CD. Skilled in orchestrating AI workflows, integrating model APIs, and monitoring production systems for healthcare and financial services.…AI/ML Engineer with 2+ years of experience building enterprise Generative AI applications using LLMs, OpenAI APIs, and Retrieval-Augmented Generation (RAG) with vector databases like Pinecone and FAISS. Experienced in prompt engineering, semantic search, and building AI chatbots and document summarization systems. Strong backend engineering background in Java/Spring Boot microservices and cloud-native deployment on AWS/Azure with Docker, Kubernetes, and CI/CD. Skilled in orchestrating AI workflows, integrating model APIs, and monitoring production systems for healthcare and financial services.

Available to hire

AI/ML Engineer with 2+ years of experience building enterprise Generative AI applications using LLMs, OpenAI APIs, and Retrieval-Augmented Generation (RAG) with vector databases like Pinecone and FAISS. Experienced in prompt engineering, semantic search, and building AI chatbots and document summarization systems.

Strong backend engineering background in Java/Spring Boot microservices and cloud-native deployment on AWS/Azure with Docker, Kubernetes, and CI/CD. Skilled in orchestrating AI workflows, integrating model APIs, and monitoring production systems for healthcare and financial services.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at World Financial Group

November 1, 2025 - Present

Designed and implemented enterprise Generative AI solutions using OpenAI APIs and LLMs. Built RAG systems leveraging Pinecone vector databases and enterprise knowledge repositories for document summarization, question answering, and intelligent chatbot experiences in financial services. Developed semantic search using embeddings and vector similarity retrieval to improve knowledge discovery. Implemented AI service APIs using Java 17, Spring Boot, and microservices architecture. Integrated GPT models into customer support and internal productivity applications using prompt engineering for improved contextual accuracy. Deployed cloud-native AI applications on Azure Kubernetes Service (AKS). Implemented event-driven AI workflows with Apache Kafka and RabbitMQ, automated CI/CD with Azure DevOps/Jenkins/GitHub Actions, and monitored services using ELK, Prometheus, and Azure Monitor.

Associate AI Engineer at Firefly Health

November 1, 2024 - October 31, 2025

Developed AI-powered healthcare applications using OpenAI APIs and Generative AI technologies. Implemented healthcare document summarization and intelligent chatbot solutions. Built RAG-based semantic retrieval systems using vector embeddings and enterprise healthcare knowledge repositories to enable clinical/healthcare information retrieval. Integrated AI services with Spring Boot microservices and React applications, and exposed functionality via REST APIs for enterprise integration. Deployed applications using Docker, AWS EC2, and AWS ECS. Automated CI/CD pipelines with Jenkins and GitHub Actions and wrote unit/integration tests using JUnit and Mockito.