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Schedule Interview NowMD NAYMUL I. AI, Backend and General Development
My name is MD NAYMUL I. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Machine Learning Model, Machine Learning, LangChain, Generative AI, MLOps, etc.. Some of the notable projects I’ve worked on include: End-to-End Customer Churn Project Using Machine Learning, ATS Catalyst: AI-Powered Resume and Job Match Enhancer, Unleash AI: Search, Recognize & Chat with DocsVisqa 🚀, Flaskblogshpere - Your Own Blogging Platform, Blog Generation Using LLama 2 7b Model, etc.. I am based in Chattogram, Bangladesh. I've successfully completed 6 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
AI, Backend and General Development
1 year
Machine Learning Model
1 Year
Machine Learning
1 Year
Langchain
1 Year
Additional skills
- Machine Learning Model
- Machine Learning
- Langchain
- Generative AI
- MLOps
- Artificial Intelligence
- Back-End Development
- Python
- SQL
- C++
- Django
- Flask
- Streamlit
- Postman
- PostgreSQL
- Backend
Direct hire
Potentially possible
Previous Company
DataSoft Systems Bangladesh Limited
Experience Highlights
End-to-End Customer Churn Project Using Machine Learning
This is a customer churn where users can interact with the interactive application which is built on top of the streamlit and get the interactive visualization, This model is trained using the catboost algorithm and achieve more than 82% of accuracy.
ATS Catalyst: AI-Powered Resume and Job Match Enhancer
ATS Catalyst is an innovative, AI-powered platform designed to revolutionize the job application process for both job seekers and recruiters. Utilizing advanced machine learning algorithms, ATS Catalyst offers a suite of tools that analyze resumes and job descriptions, providing users with actionable feedback, project recommendations, and a match percentage to optimize their job search. Key Features: 1. AI HR Manager Feedback: Leveraging AI, ATS Catalyst simulates an HR manager's review, offering professional feedback on resumes. 2. Project Recommendations: Based on job descriptions, it suggests projects to help candidates improve their skills and resume appeal. 3. Resume Evaluation: An in-depth analysis scores resumes, highlighting areas for improvement. 4. Match Percentage: Calculates how well a resume aligns with job descriptions, aiding in tailoring applications. Technical Highlights: 1. Built with Python and Streamlit, ATS Catalyst offers a user-friendly web interface. 2. Integrates Google's Generative AI for dynamic content generation, ensuring tailored advice and recommendations. 3. Utilizes PDF-to-image conversion for processing resumes, making it compatible with a wide range of document formats.
Unleash AI: Search, Recognize & Chat with DocsVisqa 🚀
Client's Goal: The aim was to create a versatile application that leverages Google's Gemini Pro API to enhance productivity and information accessibility. The client sought a solution that could search within PDFs, recognize images, and facilitate interactions with a chatbot, all integrated into one platform. My Contribution: I spearheaded the development of DocsVisqa, from conceptualization to deployment. My role encompassed designing the user interface with Streamlit, integrating Google's Gemini Pro API for the chatbot, PDF search, and image recognition features, and ensuring a seamless user experience. I also implemented a system for contributions, making the project open-source and community-driven. Project Success: DocsVisqa has significantly improved the efficiency of accessing and interpreting information from PDFs and images. It has been well-received in the developer community, with numerous contributions enhancing its capabilities. The application stands as a testament to the power of combining AI with user-friendly interfaces, achieving the client's goal of creating a multi-functional, accessible tool.
Flaskblogshpere - Your Own Blogging Platform
This a a blogging site, where admin can post and user's can comment on those post and interact. Admin can also edit the existing post as well. I have used flask, sqllite to make the backend of this project.
Blog Generation Using LLama 2 7b Model
In this project, I implemented LLama to generate interactive blogs for users using their preferences like what will be the perspective point of view of the blog writer.
Languages
- Bengali
- English
- Hindi
Github