Full Stack Engineer

Shakeef Ahmed Rakin

Full Stack Engineer from Bangladesh, skilled in developing web applications and integrating AI solutions. Experienced in machine learning projects, including natural language processing and computer vision.

About Me

I've been up to a lot of things

More About Me

I write code that solves real problems, one step at a time. Solid in algorithms, data structures, and fluent in TypeScript, Python and C#. Focused on building efficient, clean and reliable systems.

1+ Year
Experience

20+ Projects
Completed

6+ Hackathons
Attended

2+ Papers
Published

Full Stack Development

Expertise in building end-to-end web applications

Frontend & Backend development
SEO & Hosting
Scalable and efficient architectures
Secure API development

AI & Machine Learning

Experienced in working with different AI technologies

Natural Language Processing (NLP)
Computer Vision applications
LLMs (OpenAI, Gemini, etc.)

Mobile & Desktop Apps

Cross-platform development for Android, iOS, and Windows

Native and hybrid development
Clean, consistent UI/UX

What you can expect

Coding for performance and usability with best practices

Simple, intuitive, and user-focused designs
Efficient code that aligns with best practices
Well documented code for future workability

Some of my achievements

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During my undergraduate years, I actively participated in multiple competitive events, including hackathons and datathons, where I collaborated with teams to develop practical solutions to real-world problems.

New Academia Learning Innovation 2024
GDSC CRCE BitNBuild’24 Hackathon
Kitahack 2024
DevHack 2023
MyRapid Bus x UTM Data Hackathon 2023
InnoJam 2023 - Smart Sustainable City

I've been building a lot of things

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A showcase of my completed and ongoing projects across web, desktop, mobile, and machine learning. Built with modern tools to solve real-world problems.

- Web DevelopmentOctober 2023
  Comp Harbor
  Basic E-Commerce Platform
  MongoDB, Express.js, React.js, Node.js, Firebase

Some of my ongoing and published research

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Discover my latest research projects that I've collaborated with esteemed colleagues and institutions

- PUBLISHED
- SEMARAK ILMU SDN BHD
Malaysian Sign Language Real-Time Tutorial using CNN Algorithm
This research aims to develop a real-time Malaysian Sign Language (MSL) tutorial system using Convolutional Neural Networks (CNN) algorithm. The system is designed to provide immediate feedback to users based on their sign language skills.
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- PUBLISHED
- BRAC University
Optimizing American Sign Language Recognition with Binarized Neural Networks - A Comparative Study with Traditional Models
This undergraduate thesis compares the performance of Binarized Neural Networks (BNNs) against traditional models in the context of American Sign Language (ASL) recognition. The results suggest that BNNs are competitive with traditional models while requiring less computational resources.
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- ONGOING PUBLICATION
- Copernicus Publications
HOLOSIE - A System Model for Assessing Carbon Emissions and Balance in Agricultural Systems
HOLOSIE is a system model for assessing carbon emissions and balance in agricultural systems that simulates the carbon cycle and fluxes in agroecosystems. The model is designed to evaluate the impacts of different management practices, such as crop rotation, fertilization, and irrigation, on the carbon balance of agroecosystems.
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- ONGOING PUBLICATION
An Optimized Deep-Learning Based Pipeline for Recognition of Sign Language from Low-Resolution Thermal Imagery
This paper presents an optimized deep learning-based pipeline for recognizing sign language from low-resolution thermal imagery, demonstrating improved performance using Binarized Neural Networks (BNNs) and DenseNet121.
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Read some of my latest blogs

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Explore my latest blog posts on web development, AI, and research projects

Shakeef Ahmed Rakin