Jugal Gajjar | AI Researcher

Hello, I'm Jugal Gajjar

Graduate student at The George Washington University, specializing in autonomous AI systems that leverage NLP, LLMs and graph learning to solve complex problems.

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About Me

I research and build intelligent autonomous systems by combining Large Language Models (LLMs), graph learning, and agentic frameworks. My work explores diverse applications—from natural language processing and multimodal reasoning to software security—to create AI that can understand, reason, and solve complex problems. Learn more →

Recent Projects

HyperComplEx

Adaptive multi-space knowledge graph embeddings unifying hyperbolic, complex, and Euclidean geometries for scalable link prediction and relational reasoning.

Knowledge Graphs, Geometric Deep Learning, Deep Learning

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MLCPD

A unified multi-language code parsing dataset with over 7M files across 10 languages, represented under a universal AST schema for cross-language reasoning and code analysis.

Dataset, Code Intelligence, Cross-Language Analysis

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VulnGraph

Graph-augmented LLM framework integrating AST/CFG embeddings with semantic reasoning for explainable Java code vulnerability detection.

GNNs, LLMs, Explainable AI, Vulnerability Detection

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Recent Publications

MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema — arXiv (cs.SE) 2025 [Link]
Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models — Complex Networks 2025 [Link]
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair — ICMLA 2025 [Link]

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Experiences

Graduate Assistant — The George Washington University (Sep. 2025 — Present)
- Supporting an upper undergrad- & graduate-level Big Data and Analytics course (CSCI 4907/6444).
- Guiding students on assignments and projects, focusing on tools like Hadoop and S3 Bucket, and programming in languages like Python, Java, and Linux-Bash.
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.
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.

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Contact

I'm open to collaboration, research discussions, and work opportunities.

Email: 812jugalgajjar@gmail.com

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