Building AI that makes education better. I write research papers, build full-stack tools, and paint watercolors — sometimes all in the same week.
I'm a CS + AI student at Drexel University (Class of 2029), on a full-ride Global Scholars Scholarship. I came to Philadelphia from Pakistan chasing a specific kind of ambition — the kind that doesn't fit neatly in one box.
By day I'm a research developer and data AI co-op. My work lives at the intersection of knowledge graphs, large language models, and the genuinely hard question of how people learn.
By night — and on weekends — I paint, photograph, and find ways to make the world look the way it feels inside my head.
Automated recruiting intelligence tools, rebuilt BI dashboards (55 Salesforce-backed cards), and designed human-in-the-loop workflows so stakeholders could review AI-generated outputs. Built Slack → Google Sheets pipelines to transform unstructured candidate texts into structured data.
Architected a full-stack AI lecturing assistant that automates high-quality assessment generation from lecture slides. Engineered a RAG pipeline that transforms raw PDFs into hierarchical Knowledge Graphs. Co-authored 3 peer-reviewed publications, including an accepted paper at SIGCSE 2026.
Full-stack AI system automating high-quality MCQ generation from lecture slides. Multi-stage ETL pipeline models prerequisite relationships as a Directed Acyclic Graph. Interactive Human-in-the-Loop concept map editor for real-time instructor verification. KG-based approach outperforms standard generation by 5% accuracy across 450+ evaluated questions.
Chrome extension that optimizes AI prompts for energy efficiency. Won 2nd place among 90+ competing teams at Philly Codefest 2025.
Real-time Reddit mental health dashboard for Drexel counselors. NLP topic modeling + Gemini AI maps crisis signals from r/Drexel posts to campus resources.
Personalized timetable generator for Drexel students with real-time conflict validation, PDF exports, and calendar integration.
"Scaling Retrieval Practice with LLMs: Improving Multiple Choice Question Quality through Knowledge Graphs"
R. Hashmi, Y. An · Outperformed raw generation across 15 quality criteria for formative assessments
"Rate-Distortion Guided Knowledge Graph Construction from Lecture Notes Using Gromov-Wasserstein Optimal Transport"
R. Hashmi, Y. An, et al. · arXiv:2511.14595 · Proposed RD-theory framework for compact, information-preserving KGs
"Enhancing Student Learning with LLM-Generated Retrieval Practice Questions"
R. Hashmi, Y. An, et al. · arXiv:2507.05629 · 16% increase in knowledge retention in 60-student study
"I see the world in layers — code and color, logic and light, research papers and watercolor mornings."
Outside of CS I paint, photograph, and document life. My art explores texture, color, and the quiet beauty of everyday moments — from Lahore to Philadelphia. It's all connected: the same curiosity that drives my research drives my brushwork.
Let's connect
Open to AI/ML, SWE, and research roles. Always happy to talk about knowledge graphs, AI in education, art, or life between two continents.