Professional Overview
Shubham Lamba is an AI Trainer and LLM Evaluation Specialist with over five years of experience in Mathematics, Physics, and multilingual (English–Hindi) AI model assessment. With a strong academic foundation in Engineering Mathematics and Physics, he specializes in logical reasoning validation, hallucination detection, structured response ranking, and step-by-step solution verification for large language models. He has contributed to advanced AI training projects with organizations such as Outlier and RWS, where he evaluated complex academic and conversational outputs, refined datasets, and improved response accuracy through rubric-based feedback. Shubham also brings extensive subject matter expertise from his long-term work as a Mathematics expert at Chegg India, delivering high-precision, step-by-step solutions aligned with international standards. His core strengths include analytical thinking, multilingual evaluation (English–Hindi and code-mixed content), reinforcement learning feedback assessment, and AI chatbot optimization. Passionate about improving AI reasoning quality, he focuses on building reliable, logically consistent, and academically sound model outputs.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
