Profile
Andi Shehu is a physicist and applied AI systems builder at NYU, focused on document intelligence, research infrastructure, and human-AI workflows.
Current work spans research mapping, evidence-grounded retrieval, AI training systems, digital humanities exploration, and computer vision for public health.
Work includes Research Data Scientist at Microsoft, applied AI work at DeepIntent, and Principal AI Scientist & Founder at Byteflows.
Research groups looking to work with Andi Shehu on an AI platform, workflow, or discovery system can reach out directly.
Contact
as5547@nyu.edu | LinkedIn | X
NYU and consulting projects by Andi Shehu.
Document intelligence workspace using RAG and hybrid retrieval to explore large research corpora with transparent evidence and citations. Built for exploration without losing the underlying evidence.
Live URL (NYU VPN or on-prem required)
research-rag-workbench-git-rts-genai-research-hub-dev.apps.cloud.rt.nyu.edu
AI-assisted exploration of early English books using translation, semantic indexing, and retrieval to support digital humanities research. Extends the portfolio into humanities-focused corpus analysis.
Live URL (NYU VPN or on-prem required)
early-books-rag-workbench-rts-genai-research-hub-dev.apps.cloud.rt.nyu.edu
Platform mapping generative AI projects, use cases, and capabilities across NYU research groups. Maps active generative AI work across NYU and makes it easier to discover, compare, and understand.
Access
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Hands-on workshops helping faculty and staff use generative AI tools for research, teaching, and workflow automation. Connects AI capability to day-to-day institutional use.
Reference URL
wp.nyu.edu/fas-edtech/flash-forc
Curated AI-assisted clinical support prototype focused on substance use, overdose prevention, harm reduction, and culturally responsive communication. Designed as a T3/T4 translational research pilot to help frontline clinicians access trustworthy, non-stigmatizing, evidence-grounded guidance in real-world care settings.
Research team
Luther Elliott, NYU School of Global Public Health - Associate Research
Scientist
Andi Shehu (Applied AI Specialist)
POC URL (NYU VPN or on-prem required)
rts-genai-rag-apps-dev.apps.cloud.rt.nyu.edu
Agentic digital marketing workflows for turning public content, events, and audience intent into updated discovery experiences, campaign pages, and conversion paths. Designed for outreach, audience routing, and lightweight content automation across public-facing digital experiences.
Access
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Multimodal system detecting and classifying tobacco products from retail shelf images for policy and public health analysis. Applies computer vision to a policy-relevant public health problem.
Status
Private previewExecutive communication, institutional analysis, and applied AI strategy work.
Executive deck synthesizing researcher needs, peer platform choices, and recommended next steps for institutional AI support. Developed in an NYU context, but representative of broader higher-ed AI strategy and advisory work.
Status
Private previewEvent and community work in New York.
DataBarOnTheRun was a New York series I ran for people working across data, analytics, AI, startups, and business. Some nights were more social and some were closer to roundtables, but the format stayed small so people could talk for more than five minutes.
For research collaborations, platform design, or applied AI consulting, get in touch.