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Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
achievements
National Girls’ Programming Contest
Became 10th in the National rounds, , 2021
Best Student Poster in 8th NSysS
Won the best student poster title, , 2021
- Worked on the posthumous brain of goats for signal processing and gaining valuable insights.
HerWill-NSDC DataForge
Became Champion, , 2023
- A Natural Language Processing task was given for the detection of fake news
- Processed text data with the help of lemmatization, tokenization, stemming etc.
BioMed Datathon
Became Runner-Up, kaggle, 2024
- A multilabel multiclass classification task of various heart-valve related diseases.
- Used a deep learning approach to solve the problem and achieved a good ICBHI score
ML Olympiad - CO2 Emissions Prediction Challenge
Secured a score higher than 30% of the contestants, kaggle, 2024
- Prediction of the amount of CO_2 by analyzing time-series data.
- Used the model LSTM for predicting missing values and ARIMA and LSTM for the final prediction.
SUST DLEnigma1.0
Became 8th out of 98 teams, kaggle, 2024
- A Deep Learning based competition on object detection specifically, vehicle detection in the context of the big cities of Bangladesh
- Used different YOLO and transformer-based models
portfolio
C Compiler
GitHub Repository
Language: Flex, Bison, YACC
- Created a C compiler using tools like Flex, Bison, and Yacc, demonstrating my skills in buildingsoftware that understands and processes programming languages.
FireCop
Materials: Arduino UNO, Flame Sensor
4-bit MIPS Implementation
Materials: atmega32, basic ICs
Online Exam Management System
Framework: React, NodeJS, PostgreSQL
Ray Tracing
GitHub Repository
Language: C++ Library: OpenGL
- Developed a ray tracing pipeline entirely from scratch, incorporating the Phong Lighting Model for accurate lighting effects and Recursive Reflection for realistic rendering.
- This pipeline enables the simulation of complex light interactions and creates visually stunning scenes with lifelike reflections and shading.
Sheba.xyz
Framework: ejs, NodeJS, OracleDB
Vehicle Detection in the Context of Bangladesh
Models used: YOLOv6, YOLOv8, Co-DETR, RTDETR
publications
Is It Really Dead? Digging into Dead Brains through Analyzing Its Behavior in Response to Inducing External Impulses
Published in 8th NSysS, 2021
This paper is about detecting signals in the posthumous brain of a goat.
Comprehensive Feature Selection and Biological Relevance Analysis in Multi-Disease Gene Expression Data
This work is about identifying the biomarkers of different cancers from microarray gene expression datasets.
Supervisor: Dr. Mohammad Saifur Rahman
Protein Solubility Prediction
- Developed a deep learning-based pipeline to predict the solubility of protein sequences, utilizing a range of protein-related features.
- Incorporated advanced protein language models (LLMs) for feature extraction and sequence processing.
works
Summer 2023: Machine Learning Intern
Published:
Duties included: Predicting the faulty behavior of the machines at a powerplant with necessary correlations to the features using basic Machine Learning algorithms, ensembles, and deep learning pipelines.
Summer 2024: Research Intern
Published:
Duties include: Working with Enzyme and Protein characteristic prediction with Machine Learning and Deep Learning Pipelines
Supervisor: Dr. Yang Zhang