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Muhammad Sarmad

@muhammadsarmad1

I build full-stack AI systems that combine reliable business logic with practical LLM and vision workflows.

I built ClearLens, an AI content moderation platform that screens submitted images against configurable policy categories and supports admin review and appeals.

I designed its five MongoDB schemas and 15 REST endpoints, separating AI screening from verdict and enforcement logic so model providers can change without disrupting business rules. I also fixed a critical prompt issue that was blocking safe content.

At Digitalis Global, I built an AI Resume Analyzer using Claude API, React, shadcn/ui, and Puter.js, and developed a Notion-style collaborative editor with live cursors, rich-text synchronization, translation, and document assistance.

I've also built Verity, an AI insurance claim verification system with async screening that reduced submission latency from 30+ seconds to under 50ms. Across internships at Genesys Research Lab, Digitalis Global, and Alfabolt, I've worked with React, Node.js, Python, FastAPI, MongoDB, REST APIs, and applied LLM pipelines.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

Genesys Research Lab

Jul 2026 - Aug 2026 (1 month)

Offered the role after independently designing and building ClearLens, a full-stack AI content moderation platform, as a technical assessment for the Summer Internship Program. Working within an AI-driven engineering pipeline involving policy-based content screening, verdict logic, and moderation workflow design.

AI Content Moderation Policy Based Screening Verdict Logic Moderation Workflow Design