
3
3
Pakistan
2+ years of experience
I am an AI Engineer with experience in developing and deploying AI-driven solutions. I have worked on projects spanning machine learning, natural language processing, computer vision, and AI-powered applications. My expertise includes building scalable AI systems, integrating deep learning models, and optimizing performance for real-world applications.

Long Description: BreathGuard AI addresses one of the worldโs most urgent health challenges: Chronic Obstructive Pulmonary Disease (COPD), the third leading cause of death globally. Current care models often fail because they are reactive โ patients only receive help once symptoms worsen. Our solution shifts the paradigm to proactive and preventive care. Using multi-agent intelligence, BreathGuard AI integrates continuous monitoring of patient vitals with environmental risk data to predict potential exacerbations before they become emergencies. Patients interact naturally with the system using voice-based symptom logging, while a personalized coaching agent guides them on daily routines such as inhaler use, breathing exercises, and activity management. In critical situations, automated alerts instantly notify caregivers or clinicians, ensuring timely response. Beyond patient care, the platformโs design supports hospitals, insurance providers, and healthcare networks with scalable AI-driven tools. By combining predictive analytics, intelligent coaching, and seamless emergency escalation, BreathGuard AI empowers patients to live more confidently while reducing hospitalizations and healthcare costs.
21 Sep 2025

DisasterRelief AI is a real-time, AI-powered platform designed to transform how humanitarian teams respond to natural disasters. Traditional disaster response systems are often delayed, fragmented, and reactiveโcosting precious time and lives. Our platform solves this by using artificial intelligence to detect crisis zones, assess urgent needs, and coordinate relief operations with unprecedented speed and accuracy. At the heart of DisasterRelief AI is a multi-source data engine that ingests live satellite imagery, geo-tagged social media posts, emergency alerts, and drone footage. Computer vision models (e.g., YOLOv8, UNet) analyze imagery to detect flooded zones, collapsed infrastructure, and fires. NLP models (e.g., BERT, GPT) extract distress signals and supply requests from public posts, enabling localized need detection even in communication-poor areas. This information powers a real-time dashboard that shows dynamic heatmaps, optimized aid routes, inventory status, and task coordination across multiple agencies. The platform also includes a smart logistics planner that generates safe and efficient delivery routes based on road conditions, urgency levels, and available resources. DisasterRelief AI builds a reusable knowledge graph of disaster-prone regions, infrastructure layouts, and response historiesโhelping organizations plan smarter for future crises. Our system has clear real-world applications: during Cyclone Idai (2019) and the Haiti Earthquake (2021), delays in response were driven by data blind spots. With DisasterRelief AI, responders could have acted faster and more precisely. DisasterRelief AI empowers responders with live intelligence and coordinationโbridging the gap between chaos and action.
8 Jul 2025

Our project is an AI-powered SaaS platform designed to simulate real job interviews and help candidates prepare with confidence. Users can input job titles and expertise, and the system generates tailored coding questions and scenario-based prompts. With the help of Vapi AI, the platform conducts interactive voice interviews, mimicking real recruiter interactions. After each session, users receive detailed feedback on their answers, problem-solving approach, and communication skills. The platform also allows users to set daily goals and track their progress, ensuring consistent preparation. This solution is especially beneficial for students, professionals switching careers, or anyone aiming for competitive roles in theย techย industry.
15 Jun 2025