Software Engineer


Hello There! 👋

I am Imran Pollob from Bangladesh. I have completed my Bachelor’s and Masters’s degrees in Information Technology from Jahangirnagar University, which is one of the top public universities in my country. Currently, I am working as a Fullstack Software Engineer for more than 4 years. At my current workspace, my job responsibility is to gather renewable energy data from various sources, preprocess, classify and store it on the cloud for further data analysis to predict future energy data.

I always wondered how the prediction works almost perfectly and from curiosity, I started learning about Machine Learning specifically Deep Learning and that decision changed my career entirely. Currently, learning and learning to make myself competent for the ML field. Oh snap! it has no learning boundary 🙃.

Download my RESUME

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • MSc in Information Technology, 2017

    Jahangirnagar University

  • BSc in Information Technology, 2015

    Jahangirnagar University


Machine Learning

PyTorch, Scikit-learn, Pandas, NumPy


Python, PHP, JavaScript, MySQL


React, Vue, HTML, CSS


Software Engineer
Sep 2019 – Present Dhaka, Bangladesh
My responsibility is to collect data programmatically from numerous sources, organize and filter it for Data Analysis.
Full Stack Software Engineer
May 2018 – Sep 2019 Dhaka, Bangladesh
I worked with frontend, backend, and CI/CD of an inventory management system for a business social network platform.
Software Engineer
Nov 2016 – Apr 2018 Dhaka, Bangladesh
My task was brainstorming and developing features for an automated school management system and parcel delivery system.


Scientific Computing with Python
See certificate
Rest API
See certificate
JavaScript Algorithms and Data Structures
See certificate
M121 The MongoDB Aggregation Framework
See certificate
M001 MongoDB Basics
See certificate
Responsive Web Design
See certificate
Information Technology Passport Examination (ITEE - IP)
See certificate



AI Translation

Train a model using PyTorch to learn German to English translation


Built and trained a multi-domain generative conversational model that can carry out a meaningful conversation with a human in multiple domains.

COVID Detection form X-RAY

Identify the image of COVID affected chest X-RAY using deep learning utilizing Convolutional Neural Network (CNN).

Fake Handwritten Digits

Built a GAN (Generative Adversarial Networks) model that learns from real handwritten digits to generate its own handwritten digits.

Name Language Predictor

A RNN model that operates on characters as one-hot encoded tensors that can predict the language given the name of an individual.

Sentiment Analysis

Used GloVe pre-trained vector embeddings in PyTorch to perform sentiment analysis on text data utilizing binary classification.