Jugal Gajjar
AI/ML Engineer and Researcher, and a recent graduate from The George Washington University. I build production-grade AI and backend systems and publish research on LLMs, reasoning, and trustworthy AI.
What I research. I design and study explainable and reasoning-centric AI systems that can understand, reason, and justify their decisions, improving the faithfulness, interpretability, and efficiency of LLMs through structured reasoning, attribution, and reinforcement learning. I am also interested in applications of AI in code intelligence and software security.
My goal is to bridge rigorous research and real-world engineering, building AI systems that are powerful, trustworthy, and shippable. Learn more →
Multimodal AI Intelligence Platform
Production full-stack platform for retrieval-augmented chat over text, PDFs, images, audio, and video — with a live knowledge graph and grounded, cited answers. Deployed live.
RSAT
Structured attribution framework for training small LLMs to generate step-by-step reasoning with explicit citations, improving faithfulness and interpretability.
TaskForge
Distributed microservices system implementing task management with JWT authentication and gRPC-based communication to model real-world backend architectures.
- RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners — ACL 2026 [Details]
- Feature Attribution Stability Suite: How Stable Are Post-Hoc Attributions? — CVPR 2026 [Details]
- HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings — IEEE BigData 2025 [Details]
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Graduate Assistant — The George Washington University (Sep. 2025 — Dec. 2025)
- Supported graduate-level Big Data and Analytics (CSCI 4907/6444) with focus on distributed systems and machine learning.
- Guided students on Spark, Hadoop, AWS S3, and programming in Python, Java, and Linux.
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Teaching Assistant — Navrachana University (Jan. 2024 — May 2024)
- Mentored 80+ students on software testing, debugging, and technical writing through structured feedback.
- Contributed to curriculum delivery and assessment for test-driven development.
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NVIDIA Jetson AI Project Coordinator — Navrachana University (Mar. 2022 — Jun.
2022)
- Led workshops on computer vision and NLP with Jetson Nano for real-time embedded AI applications.
- Guided student research projects recognized by the NVIDIA Deep Learning Institute.
Email: 812jugalgajjar@gmail.com