Hello, I'm MD Raziul Hasan Nayon
Software Engineering Student | AI & ML Specialist | Deep Learning Engineer
Software Engineering Student | AI & ML Specialist | Deep Learning Engineer
As a final-year Software Engineering student at Zhengzhou University, I specialize in Artificial Intelligence, Machine Learning, and Large Language Models—building real-world systems that combine intelligent automation with practical user impact.
Over the years, I've developed hands-on experience across deep learning, computer vision, generative AI, and full-stack application development. My projects include multimodal LLM chatbots, real-time news agents, food-image–based recipe generation, agricultural disease classification, and gait recognition research using large-scale datasets (1.6M+ images). I enjoy turning complex AI models into intuitive, user-friendly applications that deliver real value.
Beyond academics, I co-founded Help Trust For Student, a non-profit platform supporting 10,000+ students with more than $400k USD in distributed aid. Leading the IT and fundraising operations strengthened my leadership, communication, and problem-solving skills, and taught me how technology can drive social impact at scale.
I have published research on automated software development using LLMs and continue to explore the intersection of AI, automation, and scalable systems. My technical toolkit includes Python, TensorFlow, Keras, LangChain, FastAPI, Streamlit, and cloud deployment on GCP, supported by strong foundations in DSA, OOP, and software engineering principles.
I'm passionate about building intelligent systems—whether in AI product development, deep learning research, or industry-grade machine learning pipelines. If you're looking for a motivated AI-driven engineer for internships, research collaboration, or innovative projects, I'd be excited to connect. Let's build something meaningful together.
MD Raziul Hasan Nayon
nayon8828@gmail.com
+86 130 7107 5992
Zhengzhou, Henan, China
August 2024 - Present
August 2024 - Present
September 2022 - June 2026
GPA: 3.27 (6th Semester). Focused on AI, Machine Learning, Deep Learning, and Software Engineering. Recipient of Henan Government Scholarship for outstanding academic performance.
July 2018 - March 2021
Graduated with 5.0 GPA (Perfect Score) in Science. Focused on Physics, Chemistry, Mathematics, and Biology.
2022 - Present
RA Journal of Applied Research, 11(09), 811–821
Abstract: The rapid integration of Large Language Models (LLMs) in the field of software engineering is very much changing the methods of coding, which, at the same time, are also being maintained and optimized. Through this article the journey of the coming of capabilities and restrictions as well as the direction of the future of software development with LLM is monitored. The authors of this article have given a detailed survey of LLM utilization in various stages of the life cycle of development organization, a number of them being code generation, bug detection, automated testing, documentation, and translation of natural language into code, productivity, quality, and accessibility being among the improvements indicated.
Developed an intelligent conversational chatbot leveraging Groq AI (Llama 3.3) that provides verified, real-time news answers. Features smart theme extraction, NewsAPI integration, ML-based fake news detection (70% accuracy), and AI-powered response generation with source citations.
End-to-end road infrastructure monitoring system using YOLOv8 to detect potholes and cracks with 85%+ accuracy. Features real-time dashcam detection with GPS capture, interactive dashboard with Google Maps API displaying 1,000+ geotagged detections, and scalable architecture supporting live video streaming at 15 FPS.
"Cooking by Sight" - A deep learning-based application that generates recipes from food images. Features React and Next.js frontend with Tailwind CSS, Python backend with TensorFlow for image recognition, and Streamlit deployment. Users upload food images to identify ingredients and generate corresponding recipes.
Developed a multimodal chatbot using Groq LLM (DeepSeek model) integrated with voice, image, and PDF-based question answering. Built with Streamlit and connected to database for user interaction.
Developed a CNN model using TensorFlow/Keras to classify potato diseases from images. Includes data preprocessing, augmentation, and cloud deployment on GCP with FastAPI for real-time inference.
I'm always open to discussing new projects, opportunities, or just having a chat about technology.
nayon8828@gmail.com
+86 130 7107 5992
Zhengzhou, Henan, China