Lutfor Rahman

Lutfor Rahman

Mentor
5.0
(106 reviews)
US$15.00
For every 15 mins
266
Sessions/Jobs
ABOUT ME
Web, Mobile, Machine Learning & Deep Learning engineer experience in Tensorflow, PyTorch, Flutter, Node.js and Laravel.
Web, Mobile, Machine Learning & Deep Learning engineer experience in Tensorflow, PyTorch, Flutter, Node.js and Laravel.

Over 12 years of Experienced Mobile, Web, Machine Learning and Deep Learning Application developer and architect with a demonstrated history of working in the information technology and services industry. Skilled in Python, Tensorflow, Keras, Dart & Flutter, React, React Native, Node & Express, PHP & Laravel Framework, MySQL, Mongodb, Javascript, Angular, Kotlin (Android), Swift (iOS), AWS EC2, AWS Lightsail.

Also have a vast experience in developing human resource by providing training on above mentioned technologies.

Here is my Codecanyon profile : https://codecanyon.net/user/_lutfor

Here is my Udemy profile : https://www.udemy.com/user/lutfor-rahman-11/

Github : https://github.com/contactlutforrahman

Hacker Rank : https://www.hackerrank.com/_lutfor

LeetCode : https://leetcode.com/_lutfor

English
Dhaka (+06:00)
Joined August 2018
EXPERTISE
4 years experience
I will teach you Data Science and Machine Learning using Python, Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn and Python Beautiful Soup.
I will teach you Data Science and Machine Learning using Python, Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn and Python Beautiful Soup.
4 years experience | 1 endorsement
I will teach you Data Science and Machine Learning using Python, Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn and Python Beautiful Soup.
I will teach you Data Science and Machine Learning using Python, Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn and Python Beautiful Soup.
4 years experience
Python, Numpy, OpenCV & Tensorflow. What is a ANN What is DNN What is a CNN Basic Activation Functions Basic Optimizers Regressions Proje...
Python, Numpy, OpenCV & Tensorflow. What is a ANN What is DNN What is a CNN Basic Activation Functions Basic Optimizers Regressions Project 1,2,3 - Creating ANN to solve Linear Regression Problem Classifications Project 4,5 - on Classification Project 6 - Creating ANN to recognise hand written digits A better understanding of CNN Project 7 - Creating CNN to recognise hand written digits More Activation Functions More Optimizers More on Convolutional Neural Network Project 8, 9, 10 - Fashion Recognition, Objects Detections & Cats & Dogs Classifier Handling Overfitting & Data Augmentation Transfer Learning Project 11, 12, 13 - Multi Classifier using TL Natural Language Processing Project 14, 15, 16 - Projects using NLP Time series, Sequence, Predictions (CNN,RNN, LSTM) Project 17, 18, 19, 20 ---------- And five more bonus projects ---------------
3 years experience
Python, Numpy, OpenCV & PyTorch. What is a ANN What is DNN What is a CNN Basic Activation Functions Basic Optimizers Regressions Project ...
Python, Numpy, OpenCV & PyTorch. What is a ANN What is DNN What is a CNN Basic Activation Functions Basic Optimizers Regressions Project 1,2,3 - Creating ANN to solve Linear Regression Problem Classifications Project 4,5 - on Classification Project 6 - Creating ANN to recognise hand written digits A better understanding of CNN Project 7 - Creating CNN to recognise hand written digits More Activation Functions More Optimizers More on Convolutional Neural Network Project 8, 9, 10 - Fashion Recognition, Objects Detections & Cats & Dogs Classifier Handling Overfitting & Data Augmentation Transfer Learning Project 11, 12, 13 - Multi Classifier using TL Natural Language Processing Project 14, 15, 16 - Projects using NLP Time series, Sequence, Predictions (CNN, RNN, LSTM) Project 17, 18, 19, 20 ---------- And five more bonus projects --------------- 26. Demo question for Exam
7 years experience | 1 endorsement
You will learn everything from scratch by understanding the data structures, algorithms and solving problems. From variable declaration i...
You will learn everything from scratch by understanding the data structures, algorithms and solving problems. From variable declaration in your preferred language to object oriented programming and all the data structures and related algorithms. 1. First you will be taught your preferred language if you already don't know. The language will be taught from very beginning, from variable declarations to object oriented. You will be taught Object to Object Relations. Association object relation, Inheritance relation, By directional relation & Self Object Relation. 2. Then you will be taught more about arrays and how it's created. You will learn how to create your own array and implement different popular methods of array yourself. And finally, you will learn algorithms related to arrays. Like - sorting, searching, two pointers, sliding window, Kadane's algorithm and more. And finally, you will learn to solve problems at leetcode, hackerrank & code studio. 2.i. At the middle of section 2, when we will explore arrays, will learn about Big O Notation. The time and space complexity. And we will continue exploring Big O Notation throughout the course. 3. After array is finished, you will learn Stack & Queue. You will learn to build your own Stack & Queue class and implement all the popular methods yourself. And finally you will learn algorithms related to Stack & Queue and solve problems at leetcode, hackerrank & code studio. 4. At this stage, will learn about LinkedLists. We will learn and understand how nodes connect with each other. How we can insert data at the beginning, at the end and at the middle. Reverse a linked list. Remove node from beginning, end and from the middle of the linked list. Remove duplicates and more. 5. It's time to learn recursion. We will learn what is recursion and how it works and solve all the previous problems using recursion. 6. Now it's time to learn Tree & Binary Search Tree. We will learn how to insert data in a tree, how to get and delete data from a binary tree. We will learn In Order Traversal, Pre Order Traversal and Post Order Traversal. We will learn BFS & DFS and more. 7. At this stage, will learn AVL Tree and its implementation. 8. We will learn Heaps and it's implementations. 9. We will learn Trie and it's implementations. 10. And finally, we will learn about Graphs. We will learn what is a directed and undirected grasp. How to insert data in graph and related algorithms. 11. You will be taught algorithms like - Two Pointers, Sliding Window, Linear Search, Binary Search, Ternary Search, Bubble Sort, Merge Sort, Selection Sort, Quick Sort, Cycle Sort, Topological Sort, Redix Sort, Backtracking, Dynamic Programming, Greedy Algorithm, Kadane's algorithm, Depth First Search, Breath First Search, Bit Manipulation, Divide & Conquer and more. Course benefits and schedule: 1. You will learn to crack FAANG/MAANG like interviews. 2. Important notes will be given in a pdf file. 3. You can choose either 2 classes or 3 classes per week and 60 minutes each class. 4. Every session will be recorded while teaching you
7 years experience
You will learn everything from scratch by understanding the data structures, algorithms and solving problems. From variable declaration i...
You will learn everything from scratch by understanding the data structures, algorithms and solving problems. From variable declaration in your preferred language to object oriented programming and all the data structures and related algorithms. 1. First you will be taught your preferred language if you already don't know. The language will be taught from very beginning, from variable declarations to object oriented. You will be taught Object to Object Relations. Association object relation, Inheritance relation, By directional relation & Self Object Relation. 2. Then you will be taught more about arrays and how it's created. You will learn how to create your own array and implement different popular methods of array yourself. And finally, you will learn algorithms related to arrays. Like - sorting, searching, two pointers, sliding window, Kadane's algorithm and more. And finally, you will learn to solve problems at leetcode, hackerrank & code studio. 2.i. At the middle of section 2, when we will explore arrays, will learn about Big O Notation. The time and space complexity. And we will continue exploring Big O Notation throughout the course. 3. After array is finished, you will learn Stack & Queue. You will learn to build your own Stack & Queue class and implement all the popular methods yourself. And finally you will learn algorithms related to Stack & Queue and solve problems at leetcode, hackerrank & code studio. 4. At this stage, will learn about LinkedLists. We will learn and understand how nodes connect with each other. How we can insert data at the beginning, at the end and at the middle. Reverse a linked list. Remove node from beginning, end and from the middle of the linked list. Remove duplicates and more. 5. It's time to learn recursion. We will learn what is recursion and how it works and solve all the previous problems using recursion. 6. Now it's time to learn Tree & Binary Search Tree. We will learn how to insert data in a tree, how to get and delete data from a binary tree. We will learn In Order Traversal, Pre Order Traversal and Post Order Traversal. We will learn BFS & DFS and more. 7. At this stage, will learn AVL Tree and its implementation. 8. We will learn Heaps and it's implementations. 9. We will learn Trie and it's implementations. 10. And finally, we will learn about Graphs. We will learn what is a directed and undirected grasp. How to insert data in graph and related algorithms. 11. You will be taught algorithms like - Two Pointers, Sliding Window, Linear Search, Binary Search, Ternary Search, Bubble Sort, Merge Sort, Selection Sort, Quick Sort, Cycle Sort, Topological Sort, Redix Sort, Backtracking, Dynamic Programming, Greedy Algorithm, Kadane's algorithm, Depth First Search, Breath First Search, Bit Manipulation, Divide & Conquer and more. Course benefits and schedule: 1. You will learn to crack FAANG/MAANG like interviews. 2. Important notes will be given in a pdf file. 3. You can choose either 2 classes or 3 classes per week and 60 minutes each class. 4. Every session will be recorded while teaching you
4 years experience
I will teach you Computer Vision and Deep Learning using OpenCV, Numpy, Keras and Tensorflow / PyTorch for image processing and using Ker...
I will teach you Computer Vision and Deep Learning using OpenCV, Numpy, Keras and Tensorflow / PyTorch for image processing and using Keras and Tensorflow / PyTorch for making deep neural network for object recognition, face recognition and detection. Creating custom dataset and deep neural network / convolutional neural network based on business requirements. First you will get familiar with the concepts and soon you will be engaged in real life computer vision and deep learning project and you will develop project like - Projects Object detection from image Object detection from video Real time object detection / Web Cam & CCTV Face detection from image Face detection from video Real time face detection / Web Cam & CCTV Text Recognition Measure Size of Object Object Counter Face mask Detection Social Distancing checker Adding water mark to Image and video Similar image finder Similar face finder Handwritten Character Recognition Number-Plate Reader Anomaly Detection in CCTV Footage Hand Gesture Recognition Sign Language Food Recognition using Customised Model Age and Gender Estimation Human Pose Estimation Emotion detection system

REVIEWS FROM CLIENTS

5.0
(106 reviews)
Study Acc
Study Acc
March 2024
GREAT GREAT teacher
Amine Hachimy
Amine Hachimy
December 2022
Great session with Lutfor, very knowledgeable.
Rob Riedlinger
Rob Riedlinger
December 2021
Best mentor I have ever worked with
Rob Riedlinger
Rob Riedlinger
December 2021
Awesome help - so happy!
Fanol Sela
Fanol Sela
November 2021
Lutfor is the man, he is very extraordinary
Corey ODriscoll
Corey ODriscoll
November 2021
At first came off as the humorless automaton that I expect from most cs tutors, but eventually loosened up. For the whole duration he was willing to hear me out on what I could contribute to the code and ask about as well.
Jasem Al Neaimi
Jasem Al Neaimi
November 2021
very helpful and supportive
B Mun
B Mun
July 2021
Very helpfull explaining javascript.
Galvin Gyan
Galvin Gyan
December 2020
Lutfor Rahman is great
Harry Arbis
Harry Arbis
September 2020
Code worked in the end - took some time, but Lutfor was very patient.
SOCIAL PRESENCE
GitHub
flutter_qr_bar_scanner
A full screen mobile scanner for scanning QR Code and Bar Code.
Java
25
43
laravel-crud-with-image-upload
CRUD Application with file and image upload with image resize using Laravel 5.2, Bootstrap and jQuery.
PHP
8
10
EMPLOYMENTS
Senior Mobile & Web Application Developer
JSKS UG
2020-12-01-Present
Duties/Responsibilities: Responsibility includes 1. Object-Oriented Analysis and Design (OOA and OOD). 2. Full life cycle application de...
Duties/Responsibilities: Responsibility includes 1. Object-Oriented Analysis and Design (OOA and OOD). 2. Full life cycle application development. 3. Developing custom mobile & web applications and API's using React, Next, React Native, NodeJS, ExpressJS, MongoDB, Flutter & Dart, PHP/MySQL, Laravel, jQuery, Ajax, Twitter Bootstrap and Android Studio, AWS, EC2. 4. Deploying web & mobile applications at different hosting site & google play and apple app store. Projects - Project Name: Gotcha! Lost & Found app - is a Lost pet finder app. Anyone who finds a lost pet, can scan the QR code in pet’s locket. Pet owner will get notification where his/her pet’s locket is scanned and see the location in Google Map. Technologies used: (PHP/MySQL, Bootstrap, jQuery, Flutter, Shared presences, Google Map & Firebase.) App Store : https://apps.apple.com/ng/app/gotcha-lost-found-app/id1558270171 Project Name : SMARTBAR ON LOCATION Technologies used: (NodeJS/ExpressJS, MongoDB, Bootstrap, jQuery) Test server link : http://37.187.181.75 Test credentials : (Follow the second tab - "Ik ben een medewerker" tab) Email : info@administrator.com, info@seller.com Password : 123456
Node.js
MySQL
MongoDB
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Node.js
MySQL
MongoDB
Laravel
React
React Native
Next.js
Flutter
AWS
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Instructor
Udemy
2018-08-01-Present
Instructor with three thousand plus students at Udemy.
Instructor with three thousand plus students at Udemy.
PHP
Node.js
Angular
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PHP
Node.js
Angular
Laravel
Dart
Bootstrap
Microsoft SQL Server
Flutter
Asp.net web api 2
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Sr. Software Engineer
Bitopi Group
2017-02-01-2018-10-01
Responsibility includes 1. Object-Oriented Analysis and Design (OOA and OOD). 2. Full lifecycle application development. 3. Following Scr...
Responsibility includes 1. Object-Oriented Analysis and Design (OOA and OOD). 2. Full lifecycle application development. 3. Following Scrum. 4. Developing custom web applications using ASP.NET MVC, ASP.NET Web API, Entity Framework, MS SQL Server, PHP/MySQL, Laravel, AngularJS, jQuery, Ajax, Twitter Bootstrap. 5. Reporting with rdlc 6. Writing unit test. Projects : Project Name : Billing and Project Management System - is an Enterprise application for Bitopi Advertising using ASP.NET Web API, MS SQL Server, Entity Framework and Angularjs 1.6.1 Project Name : BSAHRP - is a Membership based web application for Bangladesh Society for Apparel Human Resources Professionals (BSAHRP) developed using Laravel 5.4, MySQL and jQuery. Live server link : http://bsahrp.org
Angular
Android Studio
Rdlc
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Angular
Android Studio
Rdlc
Bootstrap
React
Microsoft SQL Server
Asp.net web api 2
Angular 6
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PROJECTS
2018
Membership based web application for BSAHRP developed using Laravel 5.4, MySQL and jQuery. Admin area : http://bsahrp.org/login email...
Membership based web application for BSAHRP developed using Laravel 5.4, MySQL and jQuery. Admin area : http://bsahrp.org/login email : contact.lutforrahman@gmail.com password : 123456
PHP
jQuery
MySQL
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PHP
jQuery
MySQL
Laravel
Bootstrap
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Learn to develop web application using asp net web api and angularjs and deploy to live server.View Project
2018
In this course you will learn - How to create an angularjs module and include the module in your web project. Write angularjs controlle...
In this course you will learn - How to create an angularjs module and include the module in your web project. Write angularjs controller and register with the module. Bind the angularjs module and controller with your view. How to use ui-route for anchoring. Create the master layout and render all the sub views in the master layout. How to use bootstrap in your web application. How to crate an API. How HTTP Verbs work. How api route works. How to use HTTP Verbs as prefix. How to use HTTP Verbs as attribute. How to use route attribute for writing custom route. How to write connection config and insert data into database. How to get list of data and show in html table. How to get single data and show in edit form. How to update and delete data. What should you return from API end point. How should you return from API end point. How to show success or error message on a successful or failed API calling. How to use $resource service instead of $http service for getting, inserting, updating and deleting data. How to upload file, show uploaded image and show image preview on selecting an image. How to create pagination. How to deploy your API application in live server How to deploy your web site in another live server and connect with your API server. How to get path and give permission to the directory for uploading files in live server.
Angular
Bootstrap
Microsoft SQL Server
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Angular
Bootstrap
Microsoft SQL Server
Asp.net web api 2
View more