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NARASINGA SAI SATWIK TENNETI

@narasingasaisatwikte

Message

I build production-ready LLM agents, RAG systems, and reliable AI evaluation pipelines.

United States

Message

What I'm looking for

I'm looking to build reliable, production-ready AI systems where I can apply LLMs, RAG, evaluation, and agentic workflows in complex or regulated environments.

I've built LLM-driven agent orchestration, vector search pipelines, and FastAPI services at the University of Florida and LiteSeeker Solutions. My work improved retrieval accuracy by 32%, reduced false alerts by 22%, and analyzed more than 150,000 telemetry records for predictive insights.

I focus on making AI systems dependable through RAG evaluation loops, error analysis, statistical measurement, Docker, CI/CD, testing, and security controls. I've also worked on real-time voice systems with LiveKit and SIP, as well as agentic support, research, and natural-language-to-SQL products.

Experience

Work history, roles, and key accomplishments

Current

AI Research Assistant

Current

University of Florida

Aug 2026 - Present (1 month)

Designed autonomous AI agent orchestration using LLMs and FastAPI, enhancing decision context accuracy by 28%. Developed evaluation loops with RAG and Docker to reduce false alerts by 22% and engineered ML models for real-time sensor trace analysis.

Large Language Models fastAPI RAG Docker Error Analysis Statistical Measurement Observability Machine Learning Anomaly Detection

AI Researcher

University of Florida

Jan 2026 - May 2026 (4 months)

Engineered LLM-driven vector search pipelines in Python, boosting retrieval accuracy by 32%. Developed FastAPI microservices with CI/CD automation, reducing deployment time by 40% and conducted error analysis to validate insight generation accuracy.

Python Vector Search Embeddings fastAPI CI CD Docker Error Analysis Statistical Measurement LLM RAG

AI Engineer

LiteSeeker Solutions - UF (IPPD)

Aug 2025 - May 2026 (9 months)

Developed ML models and FastAPI REST APIs to analyze telemetry records, reducing downtime risk by 22%. Engineered distributed microservices with Docker and CI/CD, improving deployment reliability and release cycles by 40%.

Machine Learning fastAPI REST APIs Docker CI CD GitHub Actions Distributed Systems Security Telephony LiveKit SIP

AI Intern

Aidoos

Jan 2024 - Apr 2024 (3 months)

Designed prompt optimization workflows using DSPy to improve AI-driven code generation efficiency. Evaluated RAG strategies and analyzed ML model errors to reduce hallucination rates by 25%.

prompt optimization DSPy RAG Statistical Measurement Error Analysis CI CD Machine Learning