Hey, I'm Sai Teja 👋

LLM/GenAI Engineer

Building intelligent AI systems with LLMs, RAG pipelines, and multi-agent architectures.

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Sai's AI Assistant

About My GenAI Journey

I specialize in building production-grade LLM applications, from fine-tuning large language models to architecting complex multi-agent systems. My work spans the entire GenAI stack: prompt engineering, RAG pipelines, vector databases, and high-performance inference optimization.

Published researcher with work at IEEE ICC 2026 on LLM-enabled path planning. I've achieved 12.3× throughput improvements through vLLM optimization.

Technical Skills

HuggingFaceHugging Face
PyTorchPyTorch
PythonPython
CUDACUDA
Neo4jNeo4j
PostgreSQLPostgreSQL
DockerDocker
AWSAWS
HuggingFaceHugging Face
PyTorchPyTorch
PythonPython
CUDACUDA
Neo4jNeo4j
PostgreSQLPostgreSQL
DockerDocker
AWSAWS

LLM/GenAI Projects

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Relevant Experience

The University of Texas at Arlington

Graduate Research Assistant

Jun 2025 - Present

CTMap project (IEEE ICC 2026) - LLM-enabled path planning. Fine-tuning LLMs for network prediction.

ReplyQuickAI (DentalScan)

Machine Learning Engineer Intern

Dec 2025 - Present

Integrating GenAI capabilities into healthcare applications. Building conversational AI features.

Certifications

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Advanced Large Language Model Agents

UC Berkeley EECS • Jul 2025

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Oracle GenAI Professional

Oracle Cloud • Jun 2024 - Jun 2026

Building with LLMs?

Let's discuss how I can help create intelligent AI applications.