Lakshmi Ganesh

I am an entry-level Data Scientist and Machine Learning Engineer with hands-on experience building RAG pipelines, multi-agent AI systems, and NLP-powered applications. I focus on delivering production-ready solutions that improve retrieval latency and response factuality.

At Retouch It Services I built production-grade RAG pipelines using ChromaDB and LanceDB and architected autonomous AI agents with LangChain and AutoGen, automating data processing and saving significant manual effort. I engineered ETL workflows with n8n and Make.com, integrating multiple REST APIs to achieve reliable real-time reporting.

My projects include a Multi-Agent Autonomous Research Pipeline using Microsoft AutoGen and Gemini LLM, a Multi-Modal Video RAG application leveraging LlamaIndex, LanceDB, Whisper ASR and CLIP, and a CNN-based facial expression recognition system built with TensorFlow/Keras and OpenCV.

I bring strong technical skills in Python, TensorFlow/Keras, LangChain, LlamaIndex, and vector databases, combined with a collaborative mindset and experience translating business requirements into actionable ML features and BI insights.