Faizan Mohammed Jamal Shaikh

Lead Developer

• Developing a secure interview environment that actively prevents cheating by blocking unauthorized AI assistants (like Claude) and external resources during assessments.
• Implementing advanced monitoring capabilities to ensure interview integrity while maintaining a seamless candidate experience.

Co-founder & Developer

• Building Thozha, a personalized settlement platform that brings everything an international student needs into one place, addressing scattered resources, lack of personalization, and weak institutional support.
• Developing core features including real-time housing listings, automated banking setup, curated news, structured networking, a secure marketplace, and visa-specific document guides.
• Creating a real-time, actionable dashboard tailored to student's visa type, country of origin, budget, and timeline to help over 1.1 million international students transition to the U.S. smoothly.

Founder & Lead Developer

• Architecting a full-stack social platform (React, Node.js) connecting students and developers for project collaboration and talent matching.
• Implemented user matching, squad formation, and real-time project discovery; targeting 100+ active users by Summer 2026.

Founder & Lead Developer · Built at NJx Hackathon 2026

• Built and deployed a privacy-focused image redaction tool in 20 hours, reaching 50+ active users during the event.
• Engineered a zero-persistence architecture processing images in-browser or in-memory — raw data never stored on servers.
• Automated metadata scrubbing (GPS, device tags) and PII redaction (faces, license plates) via computer vision pipelines.
• Integrated Stripe Checkout for pay-per-scan credit monetization with a secure Supabase backend.

• Designed and deployed a full-stack puzzle game featuring leaderboards, user preferences, and high-score tracking.
• Built a production application serving global users with a responsive frontend and backend data persistence.

Undergraduate Research · NJIT

• Benchmarking LLMs on 400+ SNOMED CT concepts to evaluate their performance as ontology servers.
• Building evaluation pipelines with Python, Pandas, and REST APIs in collaboration with a PhD student and faculty mentor.