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A Computer Science student from Bangladesh with a strong foundation in
Software Development,
System Operations, and Open-source Contributions. Currently
pursuing my
Bachelor's degree at Brac University,
Bangladesh.
I have demonstrated expertise in full-stack web development,
automation, testing, and
cybersecurity through diverse academic projects and professional
experiences.
My journey spans across emerging technologies including Cloud Computing
and
Machine Learning, where I actively explore innovative solutions and
industry best practices.
With a proven ability to deliver practical, scalable solutions while
maintaining
academic excellence, I am passionate about building secure systems that
solve
real-world problems. I continuously push my technical and creative boundaries
through
hands-on projects, contributing to the open-source community, and staying
current with
evolving industry standards.
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Education & Certification
- Completed
Google
Google Cybersecurity Professional Certificate [2023]
- Acquired the skill to recognize and address common threats,
risks,
and vulnerabilities
- Acquired experience in how a company handles security
challenges
- Gained hands-on experience in mitigating security
issues within a
company setting
- Mastered Python for practical application in security-related
tasks
- Developed proficiency in navigating and securing the Linux
operating
system
- Learned the ins and outs of SQL for effective database
security and
management
-
Completed
Google
IT Automation with Python [2024]
- Automated tasks efficiently by crafting Python scripts
- Utilized Git and GitHub for effective version control
in project
management
- Demonstrated the ability to manage IT resources at scale,
encompassing
both physical machines and virtual machines in the cloud
- Analyzed real-world IT problems and implemented suitable
strategies
to
address and resolve those issues
-
Completed
Google
Data Analytics [2024]
- Explored the day-to-day tasks of a junior data analyst, gaining
practical insights
- Acquired essential analytical skills using tools like
spreadsheets,
SQL, R, and Tableau
- Developed expertise in cleaning and organizing data for
analysis
through hands-on experience
- Learned how to create impactful visualizations and
presentations,
showcasing newfound skills in dashboards
- Passed Introduction
to
Quantum Computing [2024]
- This course created by quantum researchers of Stanford
University, Massachusetts Institute of Technology,
University of California
- This course is offered by Qubit by Qubit and Google
Quantum AI
- Completion Certificate of
this course.
- Passed GitHub
Foundations Exam
[2024]
- It verifies skills in collaboration, GitHub products,
Git basics,
and working within GitHub repositories.
- Completion
Badge of The Exam.
- Completed Agent X: The AI
Challenge
[2025]
- Participated in Agent X: The AI Challenge, a pioneering AI
competition presented by NetCom Learning Bangladesh in partnership
with Microsoft
- Gained practical expertise in developing AI agents and
applying knowledge to real-world challenges through
structured training and mentorship
- Completion Certificate issued
by NetCom Learning Bangladesh and Microsoft
- Completed AI
Prompt Engineer Level 1™
[2025]
- Achieved professional certification in AI prompt engineering
fundamentals and best practices
- Mastered AI prompt engineering fundamentals including structure,
optimization, and troubleshooting techniques
- Gained expertise in visual model techniques for image
processing,
classification, and generative AI applications
- Completion Certificate
issued by AI CERTs™
-
Completed Web Development
(Advance Level) [2022]
- This course was offered in the residential semester at Brac
University as an extra-curricular activity.
- Learned advanced concepts in JavaScript, HTML, and
modern frameworks
for web development.
- Built responsive and interactive web applications, focusing
on best
practices for both front-end and back-end
integration.
- Gained practical experience in code organization,
deployment, and
maintaining scalable web projects.
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Experience
-
Maintainer [November 2025 - ]
tldr-pages
- Contributed to the tldr-pages project, a highly-acclaimed open
source initiative with 60,000+ GitHub stars, by localizing
command-line documentation into Bangla, making Linux and
command-line tools more accessible to the Bengali community.
- Skills Gained: Enhanced understanding of Linux
command-line tools and their practical usage, developed
expertise in technical documentation translation and localization,
gained experience in collaborative open source contribution,
and improved ability to make technical knowledge accessible across
language barriers.
-
Maintainer [April 2025 - ]
OpenTelemetry
- Contributed to the OpenTelemetry project, a widely-adopted
observability framework with 800+ GitHub stars, by
localizing documentation
into Bangla, helping to make observability tools more accessible to
the Bengali-speaking developer community.
- Skills Gained: Gained hands-on experience working with
project maintainers, creating pull requests,
understanding CI/CD
workflows, and contributing to large-scale open source
projects with
proper documentation standards and internationalization
practices.
-
Campus Ambassador [December 2023 - January 2025]
Team Matrix
- Actively raising awareness about cyber threats and promoting
cybersecurity best practices within the university community
and
beyond.
- Skills Gained: Enhanced knowledge of current cybersecurity
threats and trends, developed public speaking and presentation
skills, gained experience in community outreach and
educational
initiatives, improved networking abilities within the
cybersecurity
industry, and strengthened leadership capabilities through
ambassador responsibilities.
-
General Member [January 2022 - January 2024]
Department of Press and Release, BUCC
- Covered numerous events and crafted engaging articles
for the club,
contributing to the university's technology community outreach and
communication efforts.
- Skills Gained: Developed strong written communication
skills,
gained experience in event coverage and journalism, enhanced
ability
to work in team environments, improved time management
through
meeting deadlines, and learned to effectively communicate technical
concepts to diverse audiences.
-
Social Media Manager [September 2021 - May 2023]
ToyGhor
- Managed social media and customer relations for a leading toy
retail business with an online community of 100,000+
followers. My
management of this platform has facilitated the development of a
range
of valuable soft skills, including the ability to type Bangla
fluently and interact with individuals in a
professional and
effective manner.
- Responsibilities : Communicating with Customers, Processing
Orders, and Managing Online Community Engagement
-
Content Creator [January 2021 - September 2022]
Xoshlife, Edison Group
- Served as a technology content writer for an online news
portal, creating technical articles that engaged
readers with complex tech topics. Regrettably, Xoshlife closed due
to
financial constraints.
- Responsibilities : Authored 10+ articles
(Generated 5,000+ views), covering emerging tech trends and
innovations.
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Research
-
Undergraduate Thesis: Machine
Unlearning for Class Removal through SISA-based Deep Neural Network
Architectures [2025]
- Status: Currently under review for publication in a
peer-reviewed journal.
- Abstract: As the adoption of image generation models and
other AI systems accelerates, concerns around user data privacy and
consent have become increasingly critical. With the slowdown in
growth of publicly available data, major tech companies are
anticipated to rely more on proprietary and private user data for
training their models. This raises ethical and legal questions,
particularly when users request data deletion after it has already
influenced a trained model—a process that is both technically
challenging and resource-intensive. The emerging field of machine
unlearning addresses this issue by developing techniques to remove
specific data from trained models. Among these, the SISA (Sharded,
Isolated, Sliced, and Aggregated) framework has shown promise as a
scalable and privacy-aware unlearning solution. In this research, we
focus on leveraging a modified SISA framework to enable class-level
data removal in Convolutional Neural Network (CNN) architectures. We
evaluate how well the modified SISA framework supports effective
class unlearning without requiring full model retraining, and
analyze the trade-offs in model performance, accuracy, and privacy.
Through experiments across various image datasets and CNN
architectures, we aim to demonstrate the practical viability of
SISA-based class unlearning for real-world applications, offering
insights into its strengths, limitations, and potential for
deployment in privacy-sensitive AI systems.
-
Course Research: Postpartum
Depression Detection using Machine Learning [CSE422:
Artificial Intelligence]
- Developed a machine learning-based system to detect postpartum
depression using survey data, evaluating multiple classification
algorithms including KNN, SVM, Decision Tree, Naive Bayes, and
Logistic Regression. The dataset from Kaggle contains survey
responses related to mental health indicators such as sadness,
anxiety, and sleep patterns.
- Results: The Decision Tree classifier achieved the best
performance with 95%+ accuracy, outperforming all other
models. SVM achieved 91% accuracy, KNN 90%, Naive
Bayes 76%, and Logistic Regression 74%. All
performance metrics demonstrated strong consistency, indicating
effective capture of underlying data relationships.
- Skills Gained: Applied data preprocessing techniques
including feature engineering and label encoding, implemented and
compared multiple ML classification algorithms, performed
model evaluation using accuracy, precision, recall, and F1
scores, and analyzed performance through confusion
matrices.
-
Course Research: Student
Performance Prediction [CSE427: Machine Learning]
- Built a multi-class classification system to predict student
final grades using the Student Performance dataset from Portuguese
schools. The project addressed class imbalance through
balanced class weights and explored dimensionality reduction with
PCA to improve model efficiency while maintaining prediction
accuracy.
- Results: Without PCA, Random Forest achieved the highest
accuracy at 88%, followed by Decision Tree (86%), SGD
Classifier (84%), SVM (81%), and Naive Bayes (75%). With PCA
reducing features from 32 to 10 components, Random Forest and Naive
Bayes both achieved 81% accuracy, demonstrating effective
dimensionality reduction with minimal performance loss.
- Skills Gained: Implemented feature engineering with
ordinal encoding and StandardScaler, applied PCA for
dimensionality reduction, handled imbalanced datasets using
class weights, performed train-test splitting to prevent data
leakage, and evaluated models using accuracy, weighted precision,
recall, and confusion matrices.
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Miscellaneous
- Participated in freeCodeCamp
2025 Summer Hackathon [2025]
- Successfully participated in the month-long freeCodeCamp Community
Hackathon, where 20 global teams competed to develop
real-world,
production-ready fullstack applications. The event
emphasized
teamwork, practical software development, and open-source
contribution values.
- My team built OpenShelf,
a community-driven digital lending library platform for
books,
tools, and games. The platform was built using Django
(backend), React (frontend), Tailwind CSS (styling),
and PostgreSQL (database).
- Skills Gained: Strengthened fullstack development skills,
improved experience in team-based software engineering,
learned
advanced Git collaboration workflows, practiced Agile-like
sprint
planning, and contributed to building a scalable,
user-focused
product from scratch.
- Live Demo : https://openshelf-seven.vercel.app/ (Backend
hosted on Render free tier — first request might take some time to
response.)
- Participated in Hacktoberfest
[2025]
- Successfully participated in Hacktoberfest 2025 as a Super
Contributor, contributing 12+ pull requests across
multiple open source projects. Earned an exclusive
Hacktoberfest T-Shirt, awarded only to the first 10,000
Super Contributors who completed 6 accepted PR/MRs to worthy
repositories.
- Skills Gained: Advanced open source collaboration
across diverse projects, strengthened Git workflow and PR
management skills, enhanced ability to contribute to
multiple codebases, and developed expertise in meeting open
source contribution standards and best practices.
- Completion Badge
of Hacktoberfest 2025.
- Participated in Hacktoberfest
[2023]
- Successfully participated in Hacktoberfest 2023, a month-long
celebration of open source software run by
DigitalOcean in
partnership with GitHub and Twilio. Made meaningful
contributions to
open source projects by submitting quality pull requests that were
merged by project maintainers.
- Skills Gained: Enhanced understanding of open source
collaboration, improved Git workflow skills, learned
to read and
follow contribution guidelines, gained experience in code
review
processes, and developed skills in identifying and fixing
issues in
existing codebases.
- Completion Badge
of Hacktoberfest 2023.
- Participated in Advent of
Cyber
[2023]
- Successfully completed the Advent of Cyber 2023, a 24-day
beginner-friendly security challenge hosted by
TryHackMe. Covered
various cybersecurity topics including digital forensics,
log
analysis, OSINT (Open Source Intelligence), packet
analysis, web
application security, and incident response through
hands-on
practical exercises.
- Skills Gained: Developed foundational cybersecurity skills
including network analysis, malware detection, web
application
penetration testing, log file investigation,
digital forensics
techniques, and understanding of common attack vectors and
defense
strategies.
- Completion Certificate
of Advent of Cyber 2023.
- Participated in Patriot CTF
[2024]
- Participated in Patriot CTF 2024, a competitive cybersecurity
Capture the Flag event featuring challenges in web
security,
cryptography, and forensics. Competed solo and
ranked 704 out of
1,500 participants.
- Skills Gained: Enhanced problem-solving skills,
improved
knowledge of cybersecurity concepts, and gained experience in
working under pressure in a competitive environment.
- Ranking Screenshot
of Patriot CTF 2024.
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