Open to opportunities

Sujeeth Rajkumar

@sujeethrajkumar

Message

Generative AI engineer building production RAG and LLM automation for enterprises.

United States

Message

What I'm looking for

I’m looking to build enterprise-grade Generative AI systems—especially RAG and LLM automation—with strong engineering practices in MLOps, monitoring, and cross-functional delivery.

I’m an Artificial Intelligence Engineer with 5+ years of experience designing, developing, and deploying AI/ML, Generative AI, RAG, predictive analytics, and automation solutions across enterprise environments. I convert AI prototypes into production-ready applications by building scalable ML pipelines, integrating LLM-powered systems with enterprise workflows, and aligning technical delivery with business goals.

In my current role as a Generative Ai Engineer, I develop and integrate Large Language Model (LLM) solutions, build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge repositories, and deliver AI-driven services through Python REST APIs and microservices architecture. I deploy and monitor AI applications using Docker, Kubernetes, and CI/CD pipelines, and I’ve contributed to measurable improvements like reducing urgent customer query resolution time by 40% by engineering conversational AI features with OpenAI and LangChain.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

PNC Financial Services

Jun 2025 - Present (1 year)

Developed and integrated LLM-based generative AI solutions to automate business workflows and improve operational efficiency. Built RAG pipelines and REST APIs, deploying on Docker/Kubernetes with CI/CD and reducing urgent customer query resolution time by 40%.

Python LLM RAG Vector Databases OpenAI REST APIs Docker Kubernetes CI CD

Machine Learning Engineer

Vistra Corp

Jun 2024 - May 2025 (11 months)

Built and optimized ML pipelines and ETL workflows to process enterprise datasets for predictive analytics and business intelligence. Deployed containerized models on AWS/Azure with REST APIs and CI/CD, achieving 99.9% uptime and supporting 5,000+ concurrent users.

Python SQL ETL Apache Spark AWS Azure Docker Kubernetes CI CD Predictive Analytics

Data Scientist

Bacardi

Oct 2021 - Jul 2023 (1 year 9 months)

Developed machine learning and predictive analytics models to improve forecasting and data-driven decision-making. Automated ETL/reporting workflows and delivered insights through interactive Power BI/Tableau dashboards using exploratory data analysis and statistical modeling.

Python SQL predictive modeling scikit learn Pandas NumPy ETL Power BI Tableau

Data Scientist

Astellas

Dec 2020 - Sep 2021 (9 months)

Built ML and predictive analytics models for healthcare and business datasets to improve accuracy and decision-making. Pioneered 15 dashboards and monthly reports, reducing manual report generation time by 25 hours weekly.