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Sai Teja Meka

@saitejameka

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AI Engineer specializing in LLM orchestration, RAG systems, and observability-driven reasoning architectures.

United States

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What I'm looking for

I want to build production-grade AI systems that combine LLM observability, persona-driven reasoning, and scalable RAG infrastructure in collaborative, research-forward teams focused on measurable product impact.

I am an AI Engineer with over two years of hands-on experience building LLMs, multi-agent orchestration, and full-stack AI applications that translate research into production. I design and deploy systems that improve model reliability, interpretability, and domain performance.

I've architected event-sourced observability infrastructure (Chronos) enabling time-travel debugging and timeline comparison, and I built a cognitive architecture extraction engine that produces synthetic expert personas to boost domain-specific performance.

My projects include RAG pipelines achieving 85% human-evaluation consistency, content moderation and evaluation systems, and hybrid memory systems combining vector search with knowledge graphs for sub-200ms retrieval. I also deliver real-time 3D visualization frontends and immersive portfolio experiences.

I seek to apply psychometrically grounded persona generation, recursive metacognitive architectures, and scalable AI infrastructure to production-grade products—bridging computational psychology, evaluation frameworks, and robust deployment practices.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

Cloud Bridge Solutions Inc

Sep 2025 - Present (9 months)

Architected a plugin-based, multi-tenant AI education platform and built a RAG engine achieving sub-250ms semantic retrieval and 92%+ relevance across 1,200+ queries; shipped 9 production-ready modules and automated content generation with 88% grading accuracy versus teacher rubrics.

Pinecone Python fastAPI MongoDB OpenAI API Microservices Semantic Search

Data Science Consultant

PepsiCo

Aug 2024 - Dec 2024 (4 months)

Developed predictive models and a simulation tool to optimize packaging performance, reducing R&D cycle time and improving predictive accuracy and R² across complex material and environmental datasets, accelerating decision velocity by 25%.

Simulation Python Data Analysis R² Optimization Experimentation

Data Analyst

Savant Instruments Pvt. Ltd

Jul 2022 - Jul 2023 (1 year)

Built real-time Power BI dashboards and automated Python/SQL ETL pipelines that reduced manual reporting overhead by 40% and improved forecasting accuracy by 25% through reproducible analytics and experiment tracking.

Power BI Python SQL ETL Forecasting A B Testing Experiment Design

Education

Degrees, certifications, and relevant coursework

University of Connecticut

Master of Science, Data Science & AI Systems

2023 - 2025

Completed a Master of Science in Business Analytics and Project Management with focus on Data Science and AI systems, covering generative AI, predictive modeling, and cloud-based big data technologies.

VNR Vignana Jyothi Institute of Engineering and Technology

Bachelor of Engineering, Electronics and Communication

2018 - 2022

Earned a Bachelor of Engineering in Electronics and Communication with coursework in core electronics, communication systems, and related engineering fundamentals.