
1
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Pakistan
1 year of experience
An MPhil in Computer Science and a strong interest in AI, multi-agent systems, and collective intelligence. I'm currently expanding my skills in Machine Learning, data science, and AI engineering through fellowships and hands-on projects. I enjoy building practical AI applications that solve real-world problems and collaborating with multidisciplinary teams. I'm excited to participate in LabLab.ai hackathons, learn from talented builders, and create impactful AI solutions.

Deal Shield is an AI-powered Contract & Vendor Risk Agent built for small businesses, startups, founders, procurement teams, and operations managers who need faster and clearer business risk assessment. Users can upload a business contract in PDF format and receive an AI-assisted analysis of important clauses, including payment terms, termination, confidentiality, intellectual property, liability, indemnity, renewal, data privacy, governing law, and dispute resolution. Each finding includes a risk classification, plain-English explanation, supporting context, and practical negotiation recommendation. The application also provides vendor intelligence by assessing available vendor information and credibility signals, including reputation, reviews, business details, and news-related indicators where available. Contract risk and vendor risk are combined into an explainable Deal Safety Score to support more informed business decisions. The workflow is simple: Upload Contract → Extract Text → Analyze Clauses → Assess Vendor Risk → Calculate Deal Safety Score → View Recommendations. Deal Shield is built primarily with native.builder using React, TypeScript, Supabase, Supabase Edge Functions, and AI-powered analysis workflows. AI output supports business risk review and is not a substitute for advice from a qualified legal professional.
10 Aug 2026