Summary
Muzamil Syed is a Postdoctoral Research Associate and AI researcher with 11 years of software engineering experience and 3 years focused on machine learning, NLP, conversational AI and knowledge-graph driven information extraction. He combines deep research skills—PhD-level work in Information Technology—with hands-on production engineering, having deployed quantized 4-bit LLMs, RAG systems, and speech models for clinical and educational applications. Muzamil’s background in Java-based mobile and web development gives him practical expertise in building end-to-end systems, from Android clients to big-data pipelines using Spark, Kafka, Neo4j and Elasticsearch. He has applied transfer learning to domain-specific NER, developed Arabic ASR, and built synthetic data generators for grammar-error augmentation, demonstrating a strong bridge between research and productization. Notably, he has experience fine-tuning and deploying constrained LLMs (Mistral-7B, LLAMA-3.1) on commercial cloud platforms for multilingual grammar correction and dialogue agents. Based in Brookhaven, NY, he thrives on applied R&D that moves NLP models from prototypes into real-world clinical and educational deployments.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Soongsil University
Bachelor of Engineering (B.E.), Software Engineering, Bachelor of Engineering (B.E.), Software Engineering at Mehran University of Engineering and Technology
Master of Science (MS), Computer Science & Information Technology, Master of Science (MS), Computer Science & Information Technology at NED University of Engineering and Technology
English, Urdu, Sindhi