About Me

Bhiman Kumar Baghel

PhD Student in Computer Science, University of Pittsburgh

Advised by Prof. Xiang (Lorraine) Li

Portrait of Bhiman Kumar Baghel

My research centers on interpretable and efficient reasoning in AI. I aim to make AI systems more trustworthy as they increasingly shape decisions in everyday life, while also helping ensure that advanced reasoning capabilities remain broadly accessible rather than concentrated among only a few actors.

My work spans a spectrum from verbalized reasoning to mechanistically interpretable reasoning. This includes making AI agents more capable and efficient through inference-time rule distillation, as well as developing model editing methods that improve how factual knowledge is updated inside large language models.

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Primary Research Record

Publications

Peer-reviewed work and archival publications spanning model editing, fairness, and conversational AI.

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Research and Industry

Experience

Recent work across academia and industry, with emphasis on research contributions, systems impact, and model behavior.

Amazon logo

Amazon

Applied Scientist Intern

September 2025 – PresentSeattle, WA, USA
  • Selected for a competitive internship with the People eXperience and Technology Central Science (PXTCS) team.
  • Internship will focus on Generative AI applications and infrastructure with emphasis on enterprise knowledge integration, while ensuring fairness and privacy are maintained.
University of Pittsburgh logo

University of Pittsburgh

Graduate Research Assistant

August 2024 – PresentPA, USA
  • Engineered a plug-and-play iterative editing pipeline that enhanced edit-success rate by 38 percentage points over prior SOTA on LLaMA-3/2 and GPT-J, enabling rapid knowledge updates without full-model fine-tuning
  • Developed a Shapley- and cartography-based framework to identify influential training examples, revealing key differences in generalization behavior of LoRA on legal reasoning tasks compared to other tuning methods
  • Conducted a gender-bias audit of GPT-3.5 and BART summaries over 19,579 student reflections; used Jensen–Shannon divergence to reveal a 10% male-topic skew and uncovered under-represented female topics
  • Built a 2,900-meme multimodal dataset; manual audit revealed stereotype bias in 40% of LLaVA and MiniGPT-4 explanations, traced to visual/named-entity stereotypes, and text–image representation imbalance
Samsung Research logo

Samsung Research

Lead NLP Engineer

June 2019 – August 2023Bangalore, India
  • Spearheaded CoSMIC, a BERT-based multi-intent NLU engine for SmartThings; shipped to 100M+ devices, reaching 96% intent accuracy and cutting live NLU errors by 67%
  • Localized and scaled CoSMIC for the Korean market, mentoring a cross-site team and re-engineering tokenization to lift intent-slot F₁ by 25%
  • Architected production conversational-AI models (intent, slot, OOD) that raised multi-intent F₁ from 87% → 92% and achieved 90% OOD recall across all public benchmarks
IBM logo

IBM

Machine Learning Intern

May 2018 – July 2018Bangalore, India
  • Prototyped an LSTM-based anomaly-prediction engine that monitors 33 infrastructure health metrics and launches auto-remediation scripts, forecasting critical failures with 97% precision

Live Timeline

News & Talks

Conference presentations, milestones, and recent updates.

Mar 2026

🎓 Successfully passed the Ph.D. comprehensive exam, marking an important milestone in my doctoral journey

Jan 2026

🎉 Successfully finished internship and received a return internship offer for Summer 2026 @ Amazon

Nov 2025

🇨🇳 Attended EMNLP 2025 in China and presented "Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing"

Oct 2025

🤖 Started as Applied Scientist II Intern @ Amazon, working on improving and making AI agent reasoning more efficient

Aug 2025

🎉 Paper publication - "Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing" accepted in EMNLP 2025 as Findings

Dec 2024

🎉 A1 US Patent published - "Methods and systems for enabling seamless indirect interactions"

Sept 2024

👨‍🔬 Started working as Graduate Research Assistant @ SCI, UPitt

Aug 2024

📽️ Lightning Talk - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" in Gender Bias in Natural Language Processing Workshop at ACL 2024

Jul 2024

🗣️ Oral invitation - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" in Gender Bias in Natural Language Processing Workshop at ACL 2024

Jun 2024

🎉 Paper publication - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" accepted in Gender Bias in Natural Language Processing Workshop at ACL 2024

Jun 2024

📽️ Oral presentation - "Multimodal Understanding of Memes with Fair Explanations" @ CVPR - MULA 2024

May 2024

🗣️ Oral invitation - "Multimodal Understanding of Memes with Fair Explanations" @ CVPR - MULA 2024

Mar 2024

🎉 Paper publication - "Multimodal Understanding of Memes with Fair Explanations" accepted @ CVPR - MULA 2024

Feb 2024

🎉 A1 US Patent published - "Method and system for mitigating physical risks in an IoT environment"

Feb 2024

🤩 Attended Google Research Week

Jan 2024

👨‍🏫 Started working as Teaching Assistant - Intro to NLP @ SCI, UPitt

Sep 2023

👨‍🏫 Started working as Teaching Assistant - Operating Systems @ SCI, UPitt

Aug 2023

🎓 Started CS PhD @ University of Pittsburgh, PA, USA

Mar 2023

🆙 Promoted to Lead Engineer - NLP @ SRIB

Mar 2023

🏆 Received Samsung Excellence Award @ SRIB

Mar 2023

🎉 A1 US Patent published - "Methods and systems for determining missing slots associated with a voice command for an advanced voice interaction"

Mar 2023

🌟 Received MBO High Performance Bonus @ SRIB

Sep 2022–Dec 2022

✈️ Business trip to Samsung HQ, South Korea

Academic Background

Education & Honors

Training, mentorship, and recognition across research and industry.

Education

University Of Pittsburgh, PA, USA logo

University Of Pittsburgh, PA, USA

PhD in Computer ScienceGPA 3.5/5

August 2023 - April 2027

Advisor: Dr. Xiang (Lorraine) Li

Indian Institute of Technology (IIT), Kharagpur, India logo

Indian Institute of Technology (IIT), Kharagpur, India

M.Tech in Computer ScienceGPA 8.82/10

July 2017 - May 2019

Thesis: DCLL - A Deep Learning Model for Travel Time and Traffic Congestion Prediction

National Institute Of Technology (NIT), Jalandhar, India logo

National Institute Of Technology (NIT), Jalandhar, India

B.Tech in Computer ScienceGPA 6.82/10

June 2013 - June 2017

Honors

2023

Samsung High Performance Bonus (3×)

Samsung Research -- Bangalore, India

2023

Samsung Excellence Award (5×)

Samsung Research -- Bangalore, India

Recognized for SmartThings CLab innovation finalist and 4 US A1 patent filings.

2018

2nd Runner-Up, Audience Poll

IBM Extreme Blue Expo -- Bangalore, India

Voted top-3 of 24 projects by 100+ expo attendees.

Applied AI

Industry Innovation

Patent work and production-facing research connected to conversational AI, IoT, and personalization.

Patent

Method and system for time based personalization management in multi-device environment

Samsung Research • WO2025018568A1

Patent work on personalization and orchestration across connected devices.

Patent

Methods and systems for enabling seamless indirect interactions.

Samsung Research • US 18517995

Systems research focused on multimodal and indirect interaction flows.

Patent

Method and system for mitigating physical risks in an IoT environment.

Samsung Research • US 18202687

Applied ML for risk mitigation and decision support in IoT settings.

Patent

Methods and systems for determining missing slots associated with a voice command for an advanced voice interaction.

Samsung Research • US 17835387

Conversational AI patent work on slot completion and voice interaction quality.