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Pakistan
2+ years of experience
"Turning Complex Logic into Seamless Experiences." I am a Computer Scientist with a polyglot mindset and a passion for Artificial Intelligence. My expertise spans the entire development lifecycle: from conducting AI Research and building NLP pipelines in Python to delivering pixel-perfect interfaces using React and Tailwind CSS. With mastery across C/C++, Java, and C#, I bring a low-level understanding of performance to high-level web and mobile development. I don't just build apps; I engineer intelligent environments where cutting-edge AI meets world-class frontend design.

SkillScore Identity System is built to give companies, HR teams, and departments a reliable way to verify people without the usual guesswork. It goes beyond basic checks. The system reviews documents, validates personal details, and examines every project a user submits. It also runs structured assessments that measure real-world skills instead of surface-level knowledge. Each stage collects signals about the user’s actual capability, their consistency, and the quality of their work. All this data is processed and turned into a detailed scorecard that shows a user’s strengths, weaknesses, performance history, and overall trust rating. This scorecard becomes a transparent identity that reflects skill, experience, and credibility. Organizations can use this trusted profile to make faster and more confident decisions. It helps employers filter out inflated claims, reduce hiring risks, and shortlist candidates who have proven ability. It also gives professionals a fair way to showcase their talent, even if they don’t have traditional backgrounds or big-name credentials. At its core, SkillScore Identity System aims to build a world where opportunities are based on what people can actually do, not what they say they can do. It provides a clear, unbiased, and verified identity for every user—backed by evidence, tested performance, and trust.
7 Dec 2025

AI Powered Paper Generator is built around a simple idea: students and teachers shouldn’t waste time wrestling with scattered PDFs, unreliable summaries, or exam questions that don’t reflect the actual content they studied. The system takes in real course material,whether it's clean digital PDFs or messy scanned documents and turns them into structured, trustworthy assessments grounded entirely in the source text. Here’s what the system actually does. It starts by extracting and cleaning the text, fixing OCR issues, and splitting everything into meaningful chunks that preserve context. Those chunks are embedded using state-of-the-art models and stored inside a vector database, which acts like the project’s long-term memory. Every question the system generates MCQs, short questions, long questions, quizzes, assignments, and even full exam papers comes strictly from this retrieved memory. No made-up facts. No filler. No hallucinations. The system also studies the material. It performs topic analysis, identifies major themes, detects gaps, and organizes everything into a clear map of what the PDFs actually cover. When it’s time to generate an exam, the built-in Marks Analyzer ensures the paper is logically structured, balanced, and aligned with the user’s mark distribution. If the math doesn’t add up, the system fixes it automatically and shows the final scoring before generating the exam. AI Powered Paper Generator streamlines the entire assessment pipeline from raw materials to exportable PDF, DOCX, or JSON. The goal isn’t just automation, it’s accuracy, clarity, and trust. This is a tool that respects the source material and produces exam content you can rely on.
19 Nov 2025