Aminul Islam
**/**, *** ******, *** Road, Savar,
******.**@*****.***
Linkedin Profile
About Me
“Driven AI Engineer along with a Data
Scientist’s mindset” always eager to thrive in
demanding Computational Intelligence
processing environments. Well-informed on
the latest Machine Learning advancements.
Ready to combine tireless hunger for state-of-
the-art techniques with a desire to exploit
cutting-edge AI and Data Science technology.
Skills
Data-Driven Decision Making and
Artificial Intelligence Applications
Pipeline
Exploratory Data Analysis with
Processing, Cleaning, and
Visualizing Data
Data Preparation and
Augmentation for Machine
Learning and Deep Learning
Algorithms
Building and Deploying Machine
Learning and Deep Learning
Models
Test, Evaluation, and
Classification of Artificial
Intelligence Frameworks and
Models
Research and Development to
Production Workflow in
Computer Vision and Natural
Language Processing Technology
Professional Experience
Next Solution Lab
Artificial Intelligence Engineer
Studied and converted data science
prototypes to design and develop Machine
Learning systems and schemes.
Performed statistical analysis and fine-
tune models using test results.
Searched available datasets online for
training purposes.
Trained and retrained ML systems and
models as and when necessary.
Extended and enriched existing ML
frameworks and libraries.
Developed Machine Learning apps
according to customer/client
requirements.
Researched, experimented with, and
implemented suitable ML algorithms and
tools.
Analyzed the problem-solving capabilities
and use-cases of ML algorithms and
ranked them by their success probability.
Explored and visualized data for better
understanding and identified differences
in data distribution that could impact
model performance when deploying it in
real-world scenarios.
Artificial Intelligence Research Assistant
Applied theoretical expertise and
innovation to create or apply new
technology such as adapting state-of-the-
art principles for Machine or Computer
Vision and Natural Language Processing to
new uses.
Collaborated with the Artificial Intelligence
team to define and meet data modeling
standards for AI projects in Research and
Development as well as in production.
Fujitsu, AI and Data Science Trainee
Senior AI Engineers and Data Scientists from
Fujitsu conducted and mentored the
traineeship. Trainees received hands-on
knowledge of the industry-driven AI works
with state-of-the-art techniques with real-
world datasets for Vision and Language
models.
Mar 2020 – present Dhaka, Bangladesh
Jan 2020 – Feb 2020 Dhaka, Bangladesh
Sep 2019 – Dec 2019 Tokyo, Japan
Tools Used
Programming Languages: Python, Java,
C/C++
Data Analysis libraries including Numpy,
Pandas, Scipy
Image Processing with OpenCV and PIL,
Object Serialization using Pickle
Model Implementation and Inference of
ML & DL Algorithms through SciKit-
Learn, Keras, TensorFlow, and PyTorch
Visualization with Tensorboard,
Matplotlib, Seaborn, Plotly, Bokeh along
with Reports using Excel
SQL: PostgreSQL, MySQL
Prominent expertise with Linux Distro
and Command Line Interfaces
Experiences in the cloud with Amazon
Web Services-AWS and Model
Deployment with Docker and
Kubernetes
Distributed model training using GPU
Machine Learning API using Flask and
FastAPI
Education
MS in Computer Science and Engineering,
United International University
Courses:
Data Mining
Computational Intelligence
Machine Learning
Deep Learning
Natural Language Processing
Advanced Artificial Intelligence
Reinforcement Learning
Research Methodology and Technical Writing
Master of Applied Statistics and Data
Science, Jahangirnagar University
Courses:
Statistical Methods
Probability and Probability Distributions
Sampling Methodology
Statistical Inference
Multivariate Analysis
Applied Data Science
Time Series Analysis and Forecasting
Big Data Analytics
Bachelor of Science in Engineering,
Bangladesh University of Engineering and
Techonology
Projects
Total/Layout Text Detection from Complex
Documents
Vertical and Curved Text Detection from
Complex Documents
Masked Language Model for Bangla
Language
Line Detection from Tabular Documents
Seal-Seller Name Verification
Classifier using Ensemble of Stacked
Generalization
COVID-19 Detection using UNET Semantic
Segmentation
Jul 2020 – present Dhaka, Bangladesh
Jan 2019 – Jun 2020 Dhaka, Bangladesh
May 2012 – Feb 2017 Dhaka, Bangladesh