SYED SIDDIQUE MRIDUL

Dhaka,Bangladesh

+8801521215711

mridulsyed11@gmail.com

https://www.linkedin.com/in/mridulsyed

https://leetcode.com/mridul_syed

Experience

Reboti Mohan Pilot School and College

Oct2023 – May2024 | Narayanganj

Software Engineer (AI)

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

PDB Secondary School, Siddhirganj, Narayanganj

Secondary School Certificate (SSC), Science

2004 – 2014 | Narayanganj, Bangladesh

GPA: 5.00(Golden)/5.00

Technical Skills

Languages: Python, C/C++, HTML/CSS, SQL, Assembly

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

Database: SQLite, PostgreSQL,

Office Skills: Powerpoint/Slides, Excell/Sheets, Word/Docs

Programming Experience

Leetcode: Solved 100+ problems (Handle)

Kaggle: Kaggle Expert (x3) (Handle)

Codeforces: Solved 70+ problems (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

•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

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

in Narayanganj District)

•Scholarship for excellency in 5th Grade Scholarship Examination in TalentPool Grade (3rd in Narayanganj

District)

Selected Projects

•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 and the Heroku cloud platform for deploying the project. (Link)

•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 Heroku cloud platform for deploying the project. (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.

•Participated and arranged several Debating Competitions as an executive member, organizer and debater of RUET DC.

Languages

Native/Professional Proficiency: Bangla, English

Elementary Proficiency: Spanish, German, Hindi

Duolingo Profile: (Link)

References

Barshon Sen

Assistant Professor

Department of Computer Science & Engineering (CSE)

Rajshahi University of Engineering & Technology (RUET)