As an AI researcher and engineer, my work focuses on advancing applied machine learning, physics‑informed modeling, and intelligent systems that connect scientific research with real-world applications. My research spans LLM-based medical transcription, healthcare diagnostics, and physics‑informed machine learning (PIML) for consumer electronics. I have contributed to multiple academic and industry research initiatives, including the Medical Scribe Research Group at Metropolia University and the Vision Intelligence and Data Lab at Lakehead University. Previously, as an AI Simulation Engineer at Huawei Finland, I worked on integrating physics-based simulations with data-driven models to characterize lithium‑ion batteries, analyze degradation mechanisms, and support next‑generation battery management systems.

Beyond research, I bring over seven years of experience in software engineering, backend architecture, and AI-driven product development across Finland, the UK, Australia, and Bangladesh. I have built scalable backend systems using Python, FastAPI, Node.js, PostgreSQL, MongoDB, Redis, and cloud-native infrastructure on AWS, Azure and GCP. My industry work includes developing FinTech intelligence for EV charging networks, designing high-performance payment and EPOS platforms, building ML pipelines with Airflow and Spark, and leading engineering teams to deliver production-grade applications. This blend of deep engineering expertise and applied AI allows me to design solutions that are both scientifically robust and production-ready.

I’m open to collaborating with companies, research groups, and startups working at the intersection of AI, software systems, and real-world innovation. Whether your focus is intelligent agents, NLP and LLM applications, healthcare technologies, or scalable AI-powered platforms, I welcome opportunities to co-develop impactful solutions. If your team is exploring AI-driven transformation or seeking expertise in applied machine learning and backend engineering, I’d be glad to connect and collaborate.

class NowshadRuhan:

    def __init__(self):
        self.username = 'NowshadRuhan'
        self.name = 'Nowshad Ruhani Chowdhury'
        self.scholar = 'https://scholar.google.com/citations?user=Az-aDkAAAAAJ&hl=en'
        self.ieee = 'https://ieeexplore.ieee.org/author/37088862632'
        self.stackoverflow = 'https://stackoverflow.com/users/18045702/nowshad-ruhani-chowdhury'
        self.linkedin = 'https://www.linkedin.com/in/nowshadr/'
        self.code = {
            'frontend': ['HTML', 'CSS', 'JavaScript', 'ReactJS', 'Bootstrap4', 'Ajax'],
            'backend': ['FASTAPI', 'Django', 'Python', 'PHP', 'CodeIgniter', 'Laravel', 'Node.JS', 'Java'],
            'database': ['MySQL', 'SQLite3', 'MongoDB', 'Oracle'],
            'devops': ['AWS', 'cloud hosting', 'GitHub Actions', 'pythonanywhere', 'GoDaddy', 'SiteGround', 'Share-Hosting'],
            'tools': ['GIT', 'GitHub', 'Pandas', 'Jupyter notebook', 'pythonista, 'atom', 'numpy', 'scipy'],
            'misc': ['Kite', 'JEDI', 'Firebase', 'SCRUM', 'GNU/Linux'],
            'api': ['Google map API', 'REST API']
        }
        self.architecture = ['MVT', 'SPA', 'MVC', 'Virtual-Environment', 'Serverless', 'microservices']

    def __str__(self):
        return self.name


if __name__ == '__main__':
    me = NowshadRuhan()

💻 Vice Chancellor Scholarship, 2017

👨‍💻 First Place in Mobile Application Development from Bangladesh ICT Division, December,2018

✍️ First place in Chess Olympiad ,2012