Abdul Rehman

Computer Science graduate from Government College University, Faisalabad (CGPA 3.76/4.00) with research and engineering experience in Machine Learning, Natural Language Processing, and AI-powered software systems. Authored two open-access research preprints on Zenodo and developed production-oriented AI applications spanning NLP, computer vision, intelligent automation, and multilingual AI. Interested in graduate research focused on machine learning, low-resource NLP, and reliable AI systems.

• Relevant Coursework: Data Structures & Algorithms, Analysis of Algorithms, Machine Learning, Artificial Intelligence, Natural Language Processing, Digital Image Processing, Data Mining, Parallel & Distributed Computing, Cloud Computing, Advanced DBMS, Operating Systems.
• Capstone Project: AI Planner — Cross-platform intelligent planning and habit-tracking application incorporating speech-to-intent NLP and affective analytics.

• Developed a cross-platform AI planning application integrating speech-to-intent task capture, hierarchical task decomposition, and longitudinal mood/energy analytics. The system formed the empirical basis for a corresponding research preprint.

• Developed a computer-vision prototype for assessing visual distress indicators in canine and feline images using Roboflow vision pipelines, asynchronous FastAPI backend, and a Flutter mobile client.

• Engineered an automated verification application implementing NLP-driven claim extraction, cross-referencing textual claims against knowledge bases, and evidence comparison to detect misleading information.

• Developed a bilingual AI-assisted legal-intake prototype combining speech recognition, LLM-based reasoning, structured information extraction, Firebase synchronization, and Flutter.

• Engineered a production enterprise psychometric evaluation web application implementing standardized assessment rubrics, role-based access control, automated scoring algorithms, and dynamic PDF reporting.

• Developed and deployed open-source machine learning apps and automation microservices across Hugging Face Spaces (huggingface.co/Rehman82) and GitHub (mani828282) utilizing PyTorch, Gradio, and Streamlit for NLP and automation tasks.

• Developed and maintained production PHP web applications, implementing robust backend logic and integrating third-party RESTful APIs.
• Applied Python for automated data processing, performance profiling, and script-based management across PostgreSQL and MySQL databases.
• Collaborated in Agile engineering sprints, utilizing Git/GitHub for version control, code reviews, and production issue resolution.

• Administered digital record maintenance, document preparation pipelines, and office computing infrastructure.
• Provided technical support in database data entry, file organization, systems troubleshooting, and routine software administration.

• Selected into competitive global leadership development program uniting emerging scholars from 150+ countries; completed modules in ethical leadership, critical thinking, and community action.

• Technical co-founder of REPLAI, shortlisted among Top 100 Startups Nationwide after competitive evaluation; completed accelerator rounds and pitched before venture panels.

• Google Antigravity National Hackathon (AI Seekho): Built Insaf AI under timed sprints, demonstrating multi-agent orchestration, prompt engineering, and Google Gemini API integration.
• UNESCO International Youth Hackathon 2026: Engineered TruthGrid AI, an automated media verification prototype designed to detect and counter digital misinformation.