Build intelligent AI applications using Machine Learning, Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Python, SQL, and Automation.
I am Tharani Sivaraman, an aspiring AI Engineer and Data Scientist with a strong interest in Machine Learning, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I enjoy building AI-powered applications that solve real-world problems through intelligent automation.
Before entering the AI field, I worked as a Quality Engineer at TVS Motor Company (2017–2020). Later, I completed my Bachelor of Engineering in Electronics and Communication Engineering (2022–2025) and am currently undergoing Data Science training at QSpiders, where I am developing practical AI and Machine Learning projects using Python, SQL, LangChain, FAISS, Streamlit, and Generative AI technologies.
An intelligent semantic engine mapping vector embeddings across multi-format, unstructured document payloads for deterministic business insights.
A complex natural-language-to-SQL compiler backed by agentic validation loops to extract secure insights from structured relational engines.
TVS Motor Company
Worked as a Quality Engineer responsible for quality inspection, process improvement, root cause analysis, and maintaining production quality standards.
Electronics and Communication Engineering
Completed Bachelor of Engineering with a strong foundation in Electronics, Programming, Databases, and Software Development.
QSpiders
Learning Machine Learning, Deep Learning, NLP, SQL, Python, Power BI, LangChain, FAISS, and Generative AI by developing real-world AI applications.