About Me

The person behind the research, projects, and principles

Beyond the Résumé

A few facets that reflect who I am—within and beyond code.

AI Researcher

I explore the frontier of reasoning and explainability in Large Language Models (LLMs), Graph Neural Networks (GNNs), and Knowledge Graphs. My goal is to design intelligent systems that can reason structurally, learn adaptively, and explain their decisions, bridging the symbolic and neural representations.

Karate Champion

A Black Belt and Gold Medalist at the Wado International Karate Championship (2017), representing India. Years of training taught me precision, focus, and calm under pressure—qualities that mirror my approach to research and mentorship.

Early Leadership

From Class Representative to Junior Sports Leader, I learned that leadership is about empathy, accountability, and shared purpose. These lessons continue to shape how I guide research teams and mentor peers in academic and project settings.

AIESEC Experience

With AIESEC Baroda's Outgoing Social Sector team, I coordinated cross-cultural exchange programs that fostered youth leadership and social impact—broadening my worldview and reinforcing my belief in globally responsible AI.

Mentor & Guide

As a Graduate Assistant at GWU, former Teaching Assistant at Navrachana University, and NVIDIA Jetson AI Project Coordinator, I've mentored over 100 students in AI/ML, big data & analytics, and software testing—guiding them in transforming theory into reproducible research, published work, and hands-on innovation.

Creative Technologist

I enjoy blending logic with creativity—whether designing tools, writing technical content, or crafting user-centric systems. Innovation, in my opinion, flourishes where structure meets imagination.

Professional Background

I am pursuing an M.S. in Computer Science (Machine Intelligence & Cognition) at The George Washington University (GPA 3.95/4.0), where I serve as a Graduate Assistant for Big Data & Analytics (CSCI 4907/6444). My research centers on LLM reasoning, graph learning, and explainable AI—developing frameworks that unify symbolic structure and neural semantics for interpretable decision-making.

My ongoing thesis, AI That Detects, Exploits & Fixes, advances autonomous vulnerability reasoning using multi-agent LLM pipelines. This builds upon prior works including VulnGraph (Complex Networks 2025), MalCodeAI (IEEE IRI 2025), SecureFixAgent (ICMLA 2025), and MLCPD (Hugging Face Dataset + arXiv 2025)—each addressing reasoning, structure, and scalability in AI systems.

Alongside my academic work, I served as a teaching assistant during my undergraduate studies, supporting coursework in software testing and mentoring peers in labs and projects. I have co-authored research papers on topics such as multimodal sentiment analysis and the Sentient AI Framework, which explores emotionally intelligent and ethically aware artificial agents.

Outside of research, I have worked as a freelance software developer, delivering end-to-end solutions tailored to business needs. It involved building a Python-based billing and inventory system for a manufacturing firm—automating their processes and improving operational efficiency. This real-world experience honed my skills in client communication, full-stack development, and project delivery.

Earlier in my journey, I led initiatives as the NVIDIA Jetson AI Project Coordinator at Navrachana University under the Jetson AI Specialist Program. I mentored students on deploying AI models on Jetson Nano devices, conducted hands-on workshops in deep learning and computer vision, and guided numerous student projects—more than five of which were selected by the NVIDIA Deep Learning Institute and earned the students official certification as NVIDIA Jetson AI Specialists.

Collectively, my academic and professional journey aims to bridge graph theory, language understanding, and explainable reasoning—building systems that not only perform intelligently but also reason transparently.

Personal Journey

My path has been shaped as much by personal discipline as by academic ambition. As a martial artist, I hold a black belt in karate and earned a gold medal representing India at the International Karate Championship, 2017. Years of practice instilled in me mental resilience, strategic focus, and composure under pressure—qualities that deeply influence my approach to challenges.

Throughout school, I gravitated toward leadership, receiving Student of the Year honors three years in a row (grades 8-10) and serving in roles such as Junior Sports Leader and Class Representative. These early experiences taught me the importance of responsibility, teamwork, and effective communication.

My time with AIESEC Baroda's Outgoing Social Sector team exposed me to global development programs and youth-led social initiatives. Facilitating cross-cultural exchanges broadened my understanding of international collaboration, community impact, and the value of working toward a greater good.

Each chapter—from the dojo to the classroom to community leadership—has added a layer to who I am. I believe technical work is most impactful when rooted in empathy, discipline, and a drive to contribute meaningfully. These values guide the systems I build and the way I engage with the world.

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