I am an AI Engineer specializing in Generative AI, LLM fine-tuning, and agentic workflows. I architect production-grade RAG pipelines, model serving, and evaluation frameworks that scale in real-world deployments. I bring hands-on experience in distributed training, inference optimization, CI/CD pipelines, and REST API development, bridging academic research with responsible AI and production-ready MLOps environments. My work emphasizes model drift detection, bias mitigation, and rigorous evaluation to ensure faithfulness, relevancy, and safety in real-world AI systems.

Nanditha Thupakula

I am an AI Engineer specializing in Generative AI, LLM fine-tuning, and agentic workflows. I architect production-grade RAG pipelines, model serving, and evaluation frameworks that scale in real-world deployments. I bring hands-on experience in distributed training, inference optimization, CI/CD pipelines, and REST API development, bridging academic research with responsible AI and production-ready MLOps environments. My work emphasizes model drift detection, bias mitigation, and rigorous evaluation to ensure faithfulness, relevancy, and safety in real-world AI systems.

Available to hire

I am an AI Engineer specializing in Generative AI, LLM fine-tuning, and agentic workflows. I architect production-grade RAG pipelines, model serving, and evaluation frameworks that scale in real-world deployments.

I bring hands-on experience in distributed training, inference optimization, CI/CD pipelines, and REST API development, bridging academic research with responsible AI and production-ready MLOps environments. My work emphasizes model drift detection, bias mitigation, and rigorous evaluation to ensure faithfulness, relevancy, and safety in real-world AI systems.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent

Work Experience

Technical Intern at MindTree
June 1, 2023 - May 1, 2024
Engineered scalable backend REST API services using Spring Boot for high-concurrency applications; developed cloud-native microservices on AWS with Terraform IaC to ensure 99.9% availability; implemented model monitoring and alerting pipelines; fine-tuned transformer models for text classification with inference optimization and benchmarking, achieving a 10% improvement in inference speed.

Education

Master of Science in Artificial Intelligence at University of Cincinnati
January 1, 2024 - January 1, 2026
Bachelor of Technology in Electronics and Communication Engineering at Madanapalle Institute of Technology and Science
January 1, 2019 - January 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services