Barathi Kanna Saminathan
Artificial Intelligence Engineer @UST
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WORK HISTORY
Artificial Intelligence Engineer @UST
Working within the London Innovation Lab to build scalable, enterprise-grade Generative AI solutions, bridging the gap between robust system infrastructure and advanced language models.Designing and implementing Artificial Intelligence agents and multi-agent workflows using Python. Building advanced prompt strategies and defining agent behaviors directly aligned with real-world business use cases. Architecting secure RAG (Retrieval-Augmented Generation) pipelines, implementing patterns for semantic caching, latency reduction, and PII redaction (Zero Trust).Applying LLMOps best practices, utilizing Golden Datasets and \"LLM-as-a-Judge\" evaluation frameworks to ensure output reliability and prevent regressions.Tech Stack: Python, Large Language Models (LLMs), Small Language Models (SLMs), Multi-Agent Systems, RAG, Prompt Engineering, LLMOps.
EDUCATION
University of Birmingham
Master's degree, Artificial Intelligence
The Velammal bodhi campus
High School Diploma
Amrita Vishwa Vidyapeetham
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
ABOUT BARATHI KANNA SAMINATHAN
I build Artificial Intelligence systems that survive in production.With a background managing high-availability cloud infrastructure and KELK stack at Epsilon and a Master’s in AI & Machine Learning from the University of Birmingham, I bridge the gap between cutting-edge AI research and enterprise-grade scalability. I don\'t just build proof-of-concept models; I design AI architectures that are secure, observable, and cost-optimized.Currently, I am an AI Engineer at the UST London Innovation Lab, where I design and implement multi-agent workflows and Generative AI solutions using Python. My focus is on turning complex LLM capabilities into reliable business engines using RAG (Retrieval-Augmented Generation), advanced prompt strategies, and rigorous LLMOps evaluation frameworks.Core Expertise:• AI & ML: Large Language Models (LLMs), Small Language Models (SLMs), NLP, Causality, RAG, Multi-Agent Systems.• Engineering & Ops: Python, LLMOps (Golden Datasets, LLM-as-a-Judge), Semantic Caching, Prompt Engineering.• Infrastructure & Data: Distributed Systems, Message Queues (Kafka), Database Administration, Zero-Trust Security Patterns.I am passionate about building AI that businesses can trust systems that are explainable, secure by design, and strictly aligned with enterprise data governance.
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