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Nithin Jella

@nithinjella

I build production Generative AI, MLOps, and scalable machine learning systems.

United States
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What I'm looking for

I'm looking to build and deploy high-impact Generative AI, machine learning, and cloud-native systems, with end-to-end ownership across architecture, MLOps, inference optimization, and scalable production workflows.

At DXC Technology, I build enterprise multimodal RAG and agentic AI systems using LlamaIndex, Qdrant, LangGraph, and Llama-3, automating customer-support resolution by 34%. I also deploy optimized PyTorch inference on AWS EKS with TensorRT and Triton, delivering 4,500+ QPS while reducing P95 latency from 850ms to 120ms.

I've built BERT ticket-triage models, recommendation services, streaming data pipelines, and Kubernetes-based inference platforms across AIG and Mphasis. My work connects Python, Databricks, PySpark, Kafka, AWS, Azure, and MLOps tooling to turn machine learning and Generative AI into reliable business systems.

Experience

Work history, roles, and key accomplishments

DXC Technology logoDT
Current

AI Engineer

Oct 2025 - Present (10 months)

Architected an enterprise-grade multimodal RAG pipeline using LlamaIndex, Qdrant, and a quantized Llama-3-8B model, automating customer support resolution by 34%. Optimized deep learning inference with TensorRT and Triton on AWS EKS, achieving 4,500+ QPS and reducing P95 latency from 850ms to 120ms.

Education

Degrees, certifications, and relevant coursework

UH

University of Houston

Master of Science, Data Science

2024 -

Pursuing a Master's in Data Science at the University of Houston, Cullen College of Engineering.

CE

CVR College of Engineering

Bachelor of Technology, Electrical and Electronics Engineering

2020 - 2024

Earned a Bachelor of Technology in Electrical and Electronics Engineering with a minor in IoT.

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