Experience, Education & Recognition

TIB, Leibniz Information Centre for Science and Technology

Visiting Research Intern (May 26, 2026 - Present) | Hannover, Germany

Hosted by Prof. Sören Auer

• Applying IKnowFlow's provenance and attribution methods to the Open Research Knowledge Graph (ORKG).
• Working on provenance-aware verification through structured source graphs.
• Studying how scholarly claims can be tracked as they originate, evolve, and are challenged across research literature.

Knowledge Infused AI & Inference Lab, UMBC

Ph.D. Research Assistant (Jan 2025 - May 2026) | Baltimore, Maryland

Advisor: Prof. Manas Gaur

• Led IKnowFlow, a doctoral research framework for trustworthy AI systems across traceability, interpretable retrieval, grounding, and provenance.
• Developed interpretable dense retrieval methods through IMRNNs and rationale-driven evidence selection through METEORA.
• Studied source attribution and citation fidelity through REASONS and generation-time versus post-hoc citation evaluation.

Knowledge Infused AI & Inference Lab, UMBC

Remote Research Intern (Aug 2024 - Jan 2025)

Advisor: Prof. Manas Gaur

• Worked on trustworthy AI systems with preference-tuned rationale generation and evidence-grounded answering.
• Fine-tuned Llama 3.1 70B with Direct Preference Optimization (DPO) for research prototypes.
• Contributed to REASONS benchmark development and experiments for source attribution in scientific text.

Artificial Intelligence Institute, University of South Carolina

Remote Research Intern (Aug 2023 - Jul 2024)

Advisor: Prof. Amit Sheth

• Developed LLM-based components with LangChain and LlamaIndex for research prototypes and experiments.
• Constructed structured datasets and web-scraping workflows for downstream modeling experiments.

Stareout Games

AI Engineer Intern (Jan 2024 - Mar 2024)

• Built an internal prototype workflow combining large language models and image generation models for game concept creation.
• Connected idea generation, prompt iteration, and asset creation into a rapid game-prototyping pipeline.
• Used LangChain, Streamlit, and Python tooling for experimentation and delivery.

Celebal Technologies

Data Science Intern (May 2023 - Jul 2023)

• Processed large datasets and engineered features tailored to specific use cases.
• Built reusable NLP preprocessing components using spaCy and related Python libraries.

HCLTech

Intern (Nov 2022 - Jan 2023)

• Developed a Python-based web app using spaCy and Streamlit to extract information from résumés.
• Built an application enabling HR teams to filter résumés by custom criteria.