Research Interests
- Digital Health
- Human Computer Interaction
- Social Computing
- Mental Health
- Human-centered NLP
- Data Science
Publications
- Shariar Kabir; Nazmun Nahar; Mamunur Rashid; Shyamasree Saha (2024). Automatic Speech Recognition for Biomedical Data in Bengali Language. arXiv preprint arXiv:2406.12931] [pdf]
- Nazmun Nahar; Shariar Kabir; Sumaiya Tasnia Khan; Suparna Das; Shyamasree Saha; Mamunur Rashid. AmarDoctor: First Multilingual Digital Platform For AI-Driven Primary Care Triage And Patient Management System For Bengali Speakers. [pdf]
Award and Achievements
- AmarDoctor has been selected as one of the six solvers for the MIT Solve Global Health Equity Challenge Award 2024 out of nearly 2200+ companies worldwide.[Solution]
Being a major contributor to this project since its inception, seeing it flourish makes me feel proud. Therefore, this achievement is very personal to me.
- University Merit Scholarship from BUET (2015-2019)
- Primary Government Scholarship, Dhaka Education Board, Bangladesh (2006)
Education
BSc in Computer Science and Engineering
Bangladesh University of Engineering & Technology(BUET)Thesis Project: Bengali Text Recognition Using Deep Learning, under the supervision of Professor Dr. Md. Monirul Islam. For this project, I created a word image dataset from printed documents, annotated it, then trained deep neural networks on it using a variety of methods, including CNN, RNN, LRU, and others. [Thesis]
Coursework: Artificial intelligence, Structured programming language, Object oriented programming language, Data Structures, Algorithms, Database, Computer architecture, Software engineering and information system design, Software development, Basic graph theory, VLSI Design, Theory of computation and others.
Experience
Teaching
Bangladesh Institute of Science & Technology (Part-Time)- 520223, Microprocessor and Assembly Languages
- 520224, Microprocessor and Assembly Languages Lab
- 540206, Computer Graphics Lab
- 540219, Network and Information Security
Research and Development Engineer | Data Science | NLP | Cloud
MedAi Pvt. Limited- Clinical Decision Support System (CDSS) and Symptom Checker Module.
- Knowledge Graph Database (TypeDB) to represent biomedical entities and their relationships such as patients’ diseases, symptoms (phenotypes), drugs and diagnostic tests.
- Curating symptoms across multiple languages, exploring symptom variations, and examining relationships between symptoms.
- Medical Assistant Chatbot directing patients to the appropriate specialization.
- Evaluation of disease recommendation system using patient vignette cases to validate the accuracy of the symptom checker module.
- Implementation of full backend architecture of AmarDoctor APP, using Django REST Framework
- Utilizing SQLite and PostgreSQL for managing credentials and client data
- Deploying backend services on EC2 instances., utilizing API gateway, load balancers and auto scaling groups.
Assistant Porgrammer
Janata Bank PLC.I secured a position in a government bank through a rigorous and highly competitive selection process. However, I found that the role lacked the technical challenges I seek in my career. Consequently, I made a bold decision to leave the position in pursuit of opportunities that allow me to continuously learn and apply my technical skills to real-world problems.
Teck Stack
Programming Languages
- Python
- C/C++
- Java
- Shell
- Assembly
Software Development
- SDLC, Django REST Framework
- SQL, PostgreSQL, TypeQL
- Docker, CI/CD
- Git Version Control
- Locust, Swagger
- Gunicorn, Nginx
Data Science & AI
- Numpy, Pandas
- Matplotlib, Seaborn
- Scikit-Learn
- Transformers, Diffusers
- Keras, Tensorflow
- Rasa
- LLM, RAG
AWS
- EC2 Instances
- API Gateway
- Route53, DNS
- S3 Bucket, Elsastic IPs
- AMI, SES
- Launch Templates, VPC
- Load Balancer, Auto Scaling Group
Embedded Systems
- Arduino, Atmega32
- RFID, Sonar Sensors
- RaspberryPi 3
Tools & OS
- Jira, Confluence
- Beautifulsoup, Sphinx
- Linux, Windows
Projects
Industrial Projects
Multilingual Symptom Checker & Clinical Decision Support System
This symptom checker module serves as an intelligent tool that facilitates the symptom selection process by suggesting relevant symptoms based on the input provided by the patient.
Once the patient has completed entering their symptoms, the module prompts additional questions tailored to the patient's responses (yes, no, or don't know). Subsequently, it presents provisional diagnoses along with pertinent specialization recommendations, guiding the patient towards the appropriate healthcare professional.
Medical Assistant Chatbot
The medical assistant chatbot discerns the user's mood and offers general illness options if the mood is suboptimal. It then tailors additional questions based on the identified intent of the chosen option and ultimately suggests whether the user should consult a physical health specialist or a mental health specialist.
Client Management System
Design and developed an API-based SaaS client management system that authorizes client access to our APIs. The system uses JWT authentication and allows clients to purchase services for flexible durations based on pre-defined packages.
Academic Projects
RFID Based Mobile Charging System (2017)
The system allows phone charging upon successful RFID identity validation. Presenting a programmed, valid white tag to the reader grants power access. An invalid tag or repeated switch toggling without validation will not enable charging.
Tic Tac Toe Game (2016)
This is an implementation of the classic Tic Tac Toe game using the Assembly programming language, specifically targeting the ASM 8086 microprocessor for both the game logic and its user interface. [GitHub]
Blog
Other Interests
- In addition to my professional endeavors, I also enjoy writing educational blogs on platforms such as Medium.
- I'm a cat lover with two feline companions. One is a rescue, while the other was born in my old apartment building.
Contact
Get In Touch
