📞 +92-347-1531171 | 📧 maazmasood001@gmail.com | LinkedIn | GitHub | Upwork

Experienced AI-Driven Full Stack Developer with over 4 years of hands-on experience in designing and delivering scalable web applications using technologies like Next.js, Node.js, PHP/Laravel, and React.js. Proficient in integrating AI capabilities such as intelligent automation and data-driven decision systems into modern web platforms. Strong background in both front-end and back-end development, and performance optimization. Known for building smart, user-centric solutions that enhance usability, accelerate workflows, and drive measurable business value. Actively seeking senior-level opportunities where AI and web technologies intersect to solve real-world problems.

MediRises LLC, USA (Remote)
July 2024 – Present

• Architected and developed an AI-driven collaborative platform (inspired by Scribble) enabling real-time co-editing, drawing, and annotation using Next.js, Node.js, and LLaMA-based models.
• Integrated advanced speech-to-text pipelines using Whisper for predictive typing, semantic suggestions, and intent extraction.
• Engineered a low-latency real-time synchronization engine with WebSockets, supporting concurrent multi-user sessions with conflict resolution.
• Built AI-powered autosave and summarization modules leveraging transformer-based architectures to generate concise overviews and preserve session state.
• Enhanced system scalability by implementing asynchronous task queues and using SQLite as a lightweight storage layer for rapid prototyping and local persistence.
• Developed structured clinical documentation modules with automatic generation of ICD-10 and CPT codes, improving medical billing accuracy and workflow efficiency.

• LangChain for LLM Application Development
  DeepLearning.AI
  Completed the "LangChain for LLM Application Development" course, instructed by Harrison Chase and Andrew Ng. This certification deepens expertise in building impactful AI applications by leveraging and chaining language model responses, a powerful technique shaping the future of AI development.

• Finetuning Large Language Models
  DeepLearning.AI
  Completed the "Finetuning Large Language Models" course from DeepLearning.AI. This certification focuses on when to use finetuning versus prompting for LLMs, selecting suitable open-source models, and preparing data to train and evaluate models for specific domains—equipping me with the skills to optimize AI models for real-world applications.

Bachelor, Computer Science (2021–2025)
National University of Computing and Emerging Sciences, Islamabad, Pakistan
Extra Courses: Professional Practices in IT, Fundamentals of Marketing, Project Management