(Jan 2025 - Present)
Officer-IT
City Brokerage Ltd.
constcoder={name:'Abu Sayem',skills:['Python', 'React', 'Web Scraping', 'NodeJS', 'Express', 'NestJS', 'MSSQL', 'MySql', 'MongoDB', 'Docker', 'Machine Learning'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};Who I am?
My name is MD ABU SAYEM. I am a professional and enthusiastic programmer in my daily life. I am a quick learner with a self-learning attitude. I love to learn and explore new technologies and am passionate about problem-solving. I love almost all the stacks of web application development and love to make the web more open to the world. My core skill is based on JavaScript and I love to do most of the things using JavaScript. I am available for any kind of job opportunity that suits my skills and interests.

(Jan 2025 - Present)
Officer-IT
City Brokerage Ltd.
(Jun 2024 - Present)
FullStack Developer
freelance
(Jan 2018 - Present)
Self Employed
Code and build something in everyday.
AI Powered Financial App
constproject={name: 'AI Powered Financial App',tools: ['Express', 'MongoDB', 'OpenAI API', 'AWS SES', 'AWS S3', 'Node Mailer', 'Joi', 'Puppeteer', 'EC2', 'PM2', 'Nginx],myRole:Backend Developer,Description: Me and my team built an AI-powered financial mobile application. I have developed API using Express, Typescript, OpenAI, AWS, and MongoDB. Used OTP via AWS SES, Google, and Facebook for the authentication system. Built AI assistants using OpenAI's latest model and trained using our dataset. Voice messages are converted to text using AWS Transcribe. The app fetches data from Google Sheets and generates a PDF term sheet, sent via AWS SES.,};Travel Agency App
constproject={name: 'Travel Agency App',tools: ['NextJS', 'Tailwind CSS', 'Google Maps', 'NestJS', 'TypeScript', 'MySQL', 'AWS S3', 'Sun-Editor', 'Gmail Passkey],myRole:Full Stack Developer,Description: I have designed and developed a full-stack web app for 2Expedition, a travel agency in Armenia. I created the UI using NextJS, Typescript, MUI, TailwindCSS, Google Maps, Sun-Editor, and React Slick. The app supports multiple languages and currencies. I developed the API using NestJS, Typescript, MySQL, TypeORM, AWS, and Nodemailer. I deployed the front-end app to AWS Amplify and the back-end app to AWS EC2.,};DSE Data Scraper
constproject={name: 'DSE Data Scraper',tools: ['Python', 'Tkinter', 'BeautifulSoup', 'Pandas', 'SQLAlchemy', 'MSSQL', 'Logging', 'Cron Job / Scheduler],myRole:Sole Developer,Description: A Python-based desktop application that scrapes real-time data from the Dhaka Stock Exchange (DSE), including share information, PE ratios, sectors, and company fundamentals. Features a Tkinter GUI, automated scheduling, advanced logging, and an MS SQL Server backend integrated through SQLAlchemy. Designed for reliable data extraction, processing, and analysis using BeautifulSoup and Pandas.,};Extract Key Information from Scanned Handwritten Documents using Machine Learning
constproject={name: 'Extract Key Information from Scanned Handwritten Documents using Machine Learning',tools: ['Python', 'TensorFlow', 'Keras', 'OpenCV', 'NumPy', 'Scikit-learn', 'Pandas],myRole:Machine Learning Engineer,Description: Built an end-to-end Handwritten Text Recognition (HTR) pipeline using a dataset of 150,000 scanned handwritten images. Implemented TensorFlow/Keras-based deep learning models for text extraction and applied regex-driven parsing to automatically identify key fields such as Name, Roll, Session, and Contact details.,};2019 - 2024
BSC. ENGG in CSE
Jatiya Kabi Kazi Nazrul Islam University
2015 - 2017
Higher Secondary Certificate
Alamgir Monsur Memorial College
2010 - 2015
Secondary School Certificate
Baruajani Hasan High School
2025 - 2026
Interactive Cares
An in-depth course on system design covering fundamental concepts and practical implementation strategies.
2024
WorldQuant University
From this learning process, I have completed eight projects. Each project consists of four self-paced lessons, followed by an assignment. I learned various machine learning algorithms (Linear Regression, Logistic Regression, KNN, Naive Bayes, K-means, Random Forest, Decision Tree, ARMA, GARCH), various statistical techniques (Chi-square, A/B Testing, Regression, etc.), and big data analysis techniques (t- SNE, PCA). I built custom Python classes to implement an ETL process and created an interactive data application following a three-tiered design pattern. From this training, I gained skills in API design, data science, data visualization (Plotly, Matplotlib, Seaborn), Machine Learning, MongoDB, SQL, SQLite, and statistics.
2025
Ostad
A course designed to teach software developers the essentials of database management and integration.
2024
Coursera
A course that explores machine learning concepts and techniques using Python programming language.

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