Hi, I'm
MD. RASHED MIAH
Full Stack Developer & AI Engineer specializing in building scalable, user-centric, and AI-driven web applications with expertise in React, Next.js, Django, and deep learning frameworks.
About Me
Passionate software engineer with extensive hands-on experience in React, Next.js, Django, Node.js, and machine learning frameworks. Passionate about creating scalable, user-centric applications and driving innovation.
With experience in both frontend and backend development, I've worked on projects ranging from real-time collaborative document editors to cross-border money transfer platforms. My technical skills combined with my creative problem-solving abilities allow me to bridge the gap between design and technology.
Get In TouchMy Skills
Languages
JavaScript, Python, C, C++
SQL, Java, TypeScript
Frontend
React.js, Next.js, CSS
Tailwind, RESTful APIs
RTK Query, Tanstack query
Backend
Flask, Django, Node.js
Express Js, MongoDB
PostgreSQL, SQLAlchemy
AI/ML & DevOps
Scikit-Learn, OpenCV
NumPy, Pandas, CNN, RNN, LSTM
Git, Github, Docker
Education
B.Sc. in Computer Science and Engineering
International University of Business Agriculture and Technology (IUBAT)
May 2018 – April 2022
CGPA: 3.43 / 4.00
Thesis on Lung X ray disease detection through Deep learning.
Higher Secondary Certificate (HSC) - Science
Police Lines School and College Rangpur
June 2014 – April 2016
GPA: 5.00 / 5.00
Secondary School Certificate (SSC) - Science
Ambagan High School
January 2013 - February 2014
GPA: 5.00 / 5.00
Work Experience
Frontend Developer
Spands SPS LTD, Gravesend, UK
Designed and implemented the Diasporex user portal from scratch, leveraging React.js, Next.js and Tailwind CSS for an intuitive and responsive UI.
Implemented JWT and Google Auth, reducing login errors by 15%. Contributed to API integrations for multi-currency transfers.
Collaborated with UX/UI and API teams to streamline product design and integration.
Associate AI Engineer
Next Solution Lab, Mirpur DOHS, Bangladesh
Implemented findings from AI research papers and generated ideas for practical applications.
Developed a responsive UI with React and FastAPI, reducing data retrieval time by 20%.
Collaborated with the backend team to develop and optimize RESTful APIs using Django, improving data processing efficiency and reducing response times.
Prepared datasets for research and development projects, supporting AI-driven insights and model training.
Research Assistant and Instructor (Python)
Imranslab, Bangladesh
Improved student coding proficiency by 30% through hands-on Python workshops.
Maintained IT lab systems, ensuring a smooth learning experience for students.
Researched and developed solutions for biomedical image processing challenges using AI and Machine learning.
My Projects
HEIC to JPG Converter
Built a modern, elegant web application for converting HEIC/HEIF images (commonly used by Apple devices) to the universally compatible JPG format. Implemented features like drag & drop upload, advanced image processing options (quality control, resize, rotate), live preview, and secure local processing.
Developed with React, FastAPI, Tailwind CSS, and Python Pillow, following a clean client-server architecture with RESTful API endpoints for image processing.
View on GitHubDiasporex - Cross-Border Money Transfer Platform
Spearheaded frontend development using Next.js and Tailwind CSS, delivering a scalable and user-centric interface. Integrated secure APIs for real-time currency exchange rates and multi-currency transactions. Facilitated a peer-to-peer transfer model that supported over 10 currencies, improving operational efficiency.
View ProjectReal-Time Collaborative Document Editor
Built real-time collaboration features like live cursors and change tracking using React and WebSockets. Designed backend infrastructure with Node.js and MongoDB, enabling seamless version control for documents. Focused on creating custom features like AI-powered grammar suggestions and multi-language support.
View ProjectLung Disease X-ray Image Detection
Developed a deep learning model to detect lung diseases such as COVID-19, emphysema, mass, pneumonia, and TB from X-ray images. The model was trained on a dataset of over 10,000 X-ray images, & it achieved an accuracy of over 95% on a held-out test set.
View ProjectLocal Sports League Organizer
Developed a full-stack web application using ReactJS, Django, and PostgreSQL to manage local sports leagues and tournaments. Implemented features like user authentication, team management, automated scheduling, and real-time score updates.
Designed a responsive frontend and a scalable backend with a relational database, showcasing modern web development skills. Delivered a unique, community-focused solution, highlighting creativity and technical expertise.
View Project