Summary
Lakshay Anand is a Machine Learning and Deep Learning-focused Data Scientist with 8 years of experience building production-ready AI systems, currently working as a Senior Associate Consultant. He specialises in Agentic and Generative AI, designing RAG-based systems with intent detection, contextual retrieval and autonomous decision-making, and has hands-on experience with CNN+BiLSTM models and fine-tuned OCR pipelines. Comfortable across TensorFlow and PyTorch ecosystems and modern tooling like LangChain and LangGraph, he builds end-to-end ML pipelines from data engineering to deployment and evaluation. At GfK Nielsen and Jarvis Technology he applied ML and statistical techniques to large-scale commercial datasets, delivering scalable AI products rather than prototypes. Known for pragmatic prompt engineering (few-shot, chain-of-thought) and rigorous evaluation frameworks, he focuses on automation that replaces manual work and intelligence that drives action. Based in Delhi with a statistics degree from Amity University, he is actively pursuing roles that push toward autonomous, agentic AI assistants.
8 years of coding experience
2 years of employment as a software developer
Senior secondary education Science (Non medical), Senior secondary education Science (Non medical) at Darshan Academy, Kirpal Bagh
Bachelor's degree Statistics, Bachelor's degree Statistics at Amity University