Faizan Mohammed Jamal Shaikh

Faizan Shaikh
Title Full-Stack Developer · Computer Science @ NJIT Albert Dorman Honors College
Email faizanshaikh2007304@gmail.com
Phone +1 (973) 368-3440
Location New York City Metropolitan Area
LinkedIn linkedin.com/in/faizanshaikh-ai
GitHub github.com/fms39-glitch
Resume Faizan's Resume.pdf
Academic honors: Dean's Scholar (GPA 3.85/4.00), Albert Dorman Honors College
Relevant coursework: Data Structures & Algorithms, Machine Learning, Data Science, Discrete Math, Linear Algebra, Concepts of Programming Languages, Statistics, Calculus, Information Systems

Ideas I Worked On

Thozha — Personalized Settlement Platform

More than 1.1 million international students study in the U.S. every year, yet they face scattered resources and generic advice when settling in. Thozha consolidates housing, banking, community, and daily life into one personalized dashboard.

Status: Active development at mythozha.pages.dev.

SquadUp — Collaborative Project Discovery

Students and early-career developers often have project ideas but lack teammates with complementary skills. SquadUp addresses this by matching people based on skills, interests, and availability — turning solo builders into squads that ship real products.

Status: Quit SquadUp to focus on Thozha.

Xyris Vision — Privacy-First Image Redaction

Sharing photos online exposes GPS coordinates, device metadata, and identifiable faces without users realizing it. Xyris Vision processes images entirely in-browser or in-memory with zero server-side persistence, automatically scrubbing metadata and redacting PII.

Built in 20 hours at NJx Hackathon 2026 — reached 50+ active users during the event. Live at xyrisvision.vercel.app.

Clinical Ontology Evaluation — LLMs as Ontology Servers

Can large language models reliably serve as ontology servers for clinical concepts? This research framework benchmarks LLMs against 400+ SNOMED CT concepts, evaluating accuracy and consistency in healthcare knowledge representation.

Collaborators: PhD student Naren Khatwani and faculty mentor Dr. James Geller at NJIT, Newark, NJ.

Agentic AI & MCP Integration for Business Workflows

Exploring how Model Context Protocol (MCP) and agentic architectures can automate repetitive business tasks — from job application pipelines to data analysis workflows — by connecting LLMs to real tools and APIs in production environments.

Focus areas: RAG pipelines, automated workflow integration, backend automation, and GenAI-powered decision support.