Ujwal Tewari

I’m Ujwal Padam Tewari, Senior Research Scientist and have an experience of 7+ years in Machine learning, AI and Generative AI technologies with core focus on building customer facing products.

I specialise in the real world deployment of AI-based models for automated control decision processes using both GenAI/RL/ML and evolutionary strategies in cases where human intervention would otherwise be difficult.

My work spans across:

• Building multilingual chat-bots with language detection/translation, intent classification and menu→static routing to reduce unnecessary LLM calls

• Shipping real-time LLM conversational AI evaluations with Hallucination, Relevancy and Completeness metrics for respone quality assessment

• Multi-agent RL for traffic intersections and HVAC optimisation with LSTM + RL

• Goal Oriented Dialog systems

• Localized Recommender units for Multi-modal inputs

With a proven track record in application oriented publications at NeurIPS Deep-RL workshop (2019) and ITSC 2020 and recent submissions to CODS-2025 and EMNLP 2026 ARR.

Highlights include “GameGuard”, a model-agnostic safety system with 99% jailbreak reduction, and

state-wise CPM/FDA models that delivered +5.94% LTP while removing third-party enrichment and

saving Rs 70 lakh/month

I have also been working as an AI Ambassador at Intel Corporation, a classroom mentor for the Deep Reinforcement