SYED SIDDIQUE MRIDUL
Dhaka,Bangladesh +8801521215711 mridulsyed11@gmail.com
https://www.linkedin.com/in/mridulsyed https://www.facebook.com/mridul.syed
https://github.com/mridulsyed https://www.kaggle.com/mridulsyed https://leetcode.com/mridul_syed
Experience
Bangladesh Bank
Assistant Director (ICT)
Aug2025 | Motijheel, Dhaka
Merit: 1st
Managing and maintaining critical ICT infrastructure to ensure seamless banking operations. Implementing cybersecurity
protocols to safeguard sensitive data and systems. Leading projects on digital transformation and automation to improve
efficiency, service quality, and regulatory compliance within the central bank. Collaborating with cross-functional teams to
support innovative technology initiatives aligned with organizational goals.
MyMedicalHUB International Ltd.
Software Engineer (AI)
2022 – 2023 | Uttara, Dhaka
As an accomplished software professional, I possess extensive expertise in medical data analysis, encompassing disease
diagnosis based on ICD10 codes, patient clustering using electronic medical records, and prototype development for diverse
balance testing applications. My technical prowess spans a wide range of tools and technologies, including Detectron2,
HigherHRNet, OpenCV, and HSV, and I have a strong aptitude for applying Object-Oriented Programming (OOP) and
SOLID principles to refine existing codebases. Additionally, I boast a successful track record in web application development
with Django, seamless deployment using Docker, and proficiency in data visualization and reporting via Power BI. My
collaboration with OpenAI's GPT models, including LangChian, has further augmented my natural language processing
capabilities, adding a valuable dimension to my skill set in the field.
Educational Background
Rajshahi University of Engineering and Technology (RUET)
Bachelor of Science (BSc) in Computer Science & Engineering (CSE)
2017 – 2022 | Rajshahi, Bangladesh
CGPA: 3.35/4.00 | CGPA(last 4 semesters): 3.72/4.00
Rajuk Uttara Model College, Dhaka
Higher Secondary School Certificate (HSC), Science
2014 – 2016 | Dhaka, Bangladesh
GPA: 5.00(Golden)/5.00
PDB Secondary School, Siddhirganj, Narayanganj
Secondary School Certificate (SSC), Science
2004 – 2014 | Narayanganj, Bangladesh
GPA: 5.00(Golden)/5.00
Technical Skills
Languages: C/C++, Python, HTML/CSS, SQL, Assembly
Computer Network: Cisco Packet Tracer
Database: SQLite, PostgreSQL
Version Control: Git, GitHub
API Tool: Postman
Data Analysis & Visualization: Pandas, Numpy, Seaborn, Matplotlib
Machine Learning & Deep Learning & LLM: Scikit-learn, Tensorflow, LangChain, OpenAI, Azure OpenAI Service
Web Framework: Django, Streamlit
DevOps: Azure DevOps, Docker
Cloud Platform: Azure
Technical Writing: Latex, Overleaf
IDE: PyCharm, Jupyter Notebook, Google Colab, VS Code, CodeBlocks, Notepad++, Sublime Text
Office Skills: Powerpoint/Slides, Excell/Sheets, Word/Docs
Programming Experience
Leetcode: Solved 140+ problems (Handle)
Codeforces: Solved 70+ problems (Handle)
Kaggle: Kaggle Expert (x3) (Handle)
Beecrowd: Solved 60+ problems (Handle)
CSES: Solved 10+ problems (Handle)
RUET GyanJam 2019 - Intra RUET Programming Contest: Position 11th out of 74
Certifications
Machine Learning Specialization, DeepLearning.AI
•Supervised Machine Learning: Regression and Classification, DeepLearning.AI
•Advanced Learning Algorithms, DeepLearning.AI
•Unsupervised Learning, Recommenders, Reinforcement Learning, DeepLearning.AI
•Programming for Everybody (Getting Started with Python), University of Michigan
Deep Learning Specialization, DeepLearning.AI
•Neural Networks and Deep Learning, DeepLearning.AI
•Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization,
DeepLearning.AI
•Structuring Projects, DeepLearning.AI
•Convolutional Neural Networks, DeepLearning.AI
•Sequence Models, DeepLearning.AI
Web Development
•Programming Foundations with JavaScript, HTML and CSS, Duke University
•Introduction to Web Development, University of California, Davis
Thesis
Title: Convolutional Neural Network and Long Short-Term Memory based Human Activity Recognition System
Supervisor: Barshon Sen, Assistant Professor, CSE, RUET
Contribution:
•Developed a novel 4-layer hybrid model combining Convolutional Neural Network (CNN) and Long Short-Term Memory
(LSTM) for efficient human activity detection using smartphone and smartwatch sensors.
•Conducted experiments on UCI-HAR dataset, utilizing Bayesian Optimization for hyperparameter tuning.
•Achieved an average accuracy increase of 2.16% with 10-fold cross-validation and Overlapping Window (OW) sample
generation, and 2.89% with 10-fold cross-validation and Non-overlapping Window (NOW).
•Improved accuracy by 3.45% with Leave-one-subject-out (LOSO) validation and OW, and by 1.36% with LOSO and NOW.
Academic Courses
First Year: Data Structure, Object Orientated Programming
Second Year: Discrete Mathematics, Numerical Methods, Algorithms, Digital Techniques, Finite Automata Theory
Third Year: Database Systems, Data Communication, Software Engineering, Statistics & Queuing Theory, Microprocessor &
Assembly Language, Operating Systems, Computer Architecture, Peripherals & Interfacings, Artificial Intelligence
Fourth Year: Compiler Design, Digital Signal Processing, Digital Image Processing, Information System Analysis & Design,
Parallel & Distributed Processing, Computer Graphics & Animation, Neural Network & Fuzzy Systems, VLSI Design,
Network Security, Data Mining
Academic Scholarships
•Dhaka Board Scholarship for excellency in Higher Secondary School Certificate (HSC) examination in General
Grade (210th in Dhaka Board)
•Dhaka Board Scholarship for excellency in Secondary School Certificate (SSC) examination in TalentPool Grade
(2nd in Narayanganj District)
•Dhaka Board Scholarship for excellency in Junior School Certificate (JSC) examination in TalentPool Grade (2nd in
Narayanganj District)
•Scholarship for excellency in 5th Grade Scholarship Examination in TalentPool Grade (3rd in Narayanganj
District)
Selected Projects
•Multiple Disease Prediction
•It can predict whether a patient has any of the 3 diseases- Diabetes, Heart Disease and Parkinson. Streamlit was used for
creating the web version and the Render cloud platform for deploying the project. (Live)
•Covid19 Prediction
•Predicting Covid-19 by the symptoms. It shows the possibility of getting Covid-19 by analyzing symptoms. Flask
framework was used for creating the web version. (Link)
•Machine Learning Projects
•This repository contains all my implemented Machine Learning Projects. All my learnings from different ML courses are
reflected here. This repository contains different projects on classification, regression, time series etc. (Link)
•Deep Learning Projects
•This repository contains all my Deep Learning Projects using Convolutional Neural Network (CNN), Recurrent Neural
Network (RNN). (Link)
Volunteering Experience
•English Olympiad, District Co-Ordinator
•Served as the District Co-Ordinator and Campus Ambassador of RUET to promote this prestigious event.
•Roar Bangla, Contributing Writer
•Contributed with my writings about various topics in this most popular blog-based platform of South-Asia.
•Songkolpo Foundation, Volunteer
•Volunteered for the flood affected people of North-Bengal with this famous non-profit charitable organization of
Bangladesh.
•RUET Debating Club, Executive Member
•Participated and arranged several Debating Competitions as an executive member, organizer and debater of RUET DC.
Languages
Native/Professional Proficiency: Bangla, English
Duolingo Profile: (Link)
References
Barshon Sen
Assistant Professor
Department of Computer Science & Engineering (CSE)
Rajshahi University of Engineering & Technology (RUET)
Email: barshon.sen@cse.ruet.ac.bd
Md. Al Mehedi Hasan
Professor
Department of Computer Science & Engineering (CSE)
Rajshahi University of Engineering & Technology (RUET)
Email: mehedi_ru@yahoo.com
