Akhil Rangaraju

Data Scientist Machine Learning, Llm & Rag Systems Python, Sql, Aws @7technix Llc

Mount Pleasant, MI, US
MOBILE NUMBERS
+91 *********19

Signup · Get unlimited contacts

WORK HISTORY

Sep 2025 — Present

Data Scientist Machine Learning, Llm & Rag Systems Python, Sql, Aws @7technix Llc

View department →

US

Designed and deployed a RAG chatbot using Python, LangChain, ChromaDB, and HuggingFace embeddings, partnering with cross-functional teams and articulating retrieval behavior to enhance semantic search and lift query success rate by 15%. Re-engineered retrieval pipelines with engineering and knowledge teams, slashing document lookup time from 6.2 to 3.9 minutes by optimizing embeddings, tuning retrievers, and refining context selection. Operationalized the system using Docker and AWS (EC2/S3), driving team adoption and transforming daily workflows—reducing internal search effort by ~90 employee hours per month.

EDUCATION

N/A

Central Michigan University

Master of Science - MS, Information Systems

N/A

Osmania University

Bachelor of Engineering - BE, Computer Science and Engineering

ABOUT AKHIL RANGARAJU

Current Focus:Data Scientist with a strong focus on Machine Learning, NLP, and Retrieval-Augmented Generation (RAG), building production-ready AI systems that transform unstructured data into actionable intelligence. What I’m Building:Architecting scalable RAG pipelines and LLM-powered applications using Python, LangChain, and Hugging Face. Experienced in vector search, embedding optimization, and deploying AI solutions on AWS with a focus on performance, reliability, and real-world impact. Recent Wins:• Designed and deployed a RAG chatbot that reduced internal search effort by ~90 employee hours/month• Improved document retrieval efficiency, reducing lookup time by 37% through pipeline optimization• Delivered end-to-end ML solutions by collaborating with engineering and business teams to translate requirements into scalable systems Seeking:Full-time Data Scientist / AI Engineer roles where I can build intelligent systems, optimize large-scale data workflows, and contribute to high-impact, data-driven products. Let’s Connect:If you\'re working on cutting-edge AI, LLMs, or data-driven products — let’s connect. I’m always open to opportunities, collaborations, and meaningful conversations.

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.