I am an Applied Scientist at Amazon Alexa, where I work on building responsible AI guardrails for large language models (LLMs) and conducting research on mitigating security vulnerabilities in large action models (LAMs), including prompt injection and indirect attack vectors.

My work focuses on model alignment, safety, and runtime policy enforcement, spanning post-training of language models, retrieval-augmented generation (RAG), and multi-agent control systems for trust and safety at scale.

I completed my MS in Information Technology from The Polytechnic School, Arizona State University. I was a research volunteer working with Prof. Chitta Baral and Prof. Paulo Shakarian. I closely collaborate with Dr. Swaroop Mishra and Dr. Arindam Mitra. Please find my resume attached here

Research

My research interests include Post Training, LLM Reasoning, LLM Security, Instruction Tuning, Creation & Curation of Benchmarks, and Model Efficiency. My strength lies in generating new ideas, and I am fortunate to collaborate with a diverse set of awesome researchers.

News

• 10.2025 1 Paper (PolyMATH: A Challenging Multi-modal Mathematical Reasoning Benchmark) accepted in NeurIPS 2025 Workshops
• 09.2025 Serving as Reviewer for ICLR 2026
• 06.2025 Serving as Reviewer for COLM 2025
• 05.2025 1 Paper (Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification) accepted in IJCAI 2025 Workshops
• 02.2025 1 Paper (Cutting Through the Noise: Boosting LLM Performance on Math Word Problems) accepted in ICLR 2025 Workshops
• 02.2025 Contributed to HLE which is available now!
• 02.2025 Serving as Reviewer for ICLR 2025
• 11.2024 Reached 200 citations
• 07.2024 1 Paper (TarGEN: Targeted Data Generation with Large Language Models) accepted at COLM2024
• 03.2024 1 Paper (InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis) accepted at NAACL 2024
• 02.2024 Started Full Time Job as Applied Scientist at Amazon
• 01.2024 Reached 100 citations
• 02.2024 Started Full Time Job as Applied Scientist at Amazon
• 05.2023 Started Internship at Amazon Web Services
• 01.2023 1 Paper (“John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility) accepted at EACL 2023

Papers

• PolyMATH: A Challenging Multi-modal Mathematical Reasoning Benchmark
  Himanshu Gupta*, Shreyas Verma*, Ujjwala Anantheswaran*, Kevin Scaria*, Mihir Parmar, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral
  NeurIPS 2025 - FoRLM Workshop (* - Equal First Author Contribution)
  

• Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
  Ujjwala Anantheswaram, Kevin Scaria, Himanshu Gupta, Swaroop Mishra, Chitta Baral
  ICLR 2025 - Workshop on Reasoning and Planning for Large Language Models
  

• Embarrassingly Simple Unsupervised Aspect Based Sentiment Tuple Extraction
  Kevin Scaria, Abyn Scaria, Ben Scaria
  Submitted to ACL 2025
  

• TarGEN: Targeted Data Generation with Large Language Models
  Himanshu Gupta, Kevin Scaria, Ujjwala Anantheswaran, Shreyas Verma, Mihir Parmar, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral
  COLM 2024
  

• Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
  Bowen Xi, Kevin Scaria, Paulo Shakarian
  IJCAI 2025 - Workshop on Spatio-Temporal Reasoning and Learning
  

• Humanity’s Last Exam
  Long Phan, … Kevin Scaria and ~1000 additional authors/contributors
  Large Scale AI Benchmarking - Leaderboard
  

• InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
  Kevin Scaria, Himanshu Gupta, Siddharth Goyal, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral
  NAACL 2024
  

• “John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility.
  Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral
  EACL 2023
  

• Please check my google scholar page for all the papers.

Education

• 01.2022-12.2023 MS - Information Technology, Arizona State University

Experience

• 02.2024-Present Applied Scientist at Amazon.
• 05.2023-07.2023 Software Engineer Intership at Amazon Web Services.
• 03.2022-12.2023 Data Science Analyst - ASU Decision Theater Network.
• 08.2022-04.2023 Graduate research assistant under Dr. Paulo Shakarian - ASU Lab V2.
• 01.2022-04.2023 Graduate research volunteer under Dr. Chitta Baral ASU CogInt Labs.
• 01.2019-12.2021 Data Scientist at an AI consulting firm - Tiger Analytics.

Volunteering, Honors and Awards

• 2025 - ICLR 26’, ACL 25’ Industry Track, COLM 2025
• 2024 - NeurIPS RBFM Workshop, ICLR 25’
• 2023 - EMNLP 23’