CONTACT INFORMATION
muntasirahmed2179@gmail.com
Bashundhara R/A, Dhaka
+8801308457363
2 Dec, 1999
Bangladeshi
SKILLS
Programming Languages
- Python
- C Language
- C++
- JAVA
Machine Learning Frameworks
- PyTorch
- TensorFlow
- Scikit-Learn
- Vector database (Qdrant, Chromadb)
- LangChain
- HuggingFace Transformers
- Ollama
Web Development
- HTML
- CSS
- Django
Operating System
- Ubuntu
- Windows
LANGUAGE
- Bengali | Native
- English | Intermediate
OBJECTIVES
Creative and fresher deep learning engineer with experience working with Computer Vision, NLP, Vector Databases, and various machine learning frameworks. Seeking a role where I can apply my skill in developing applications and optimizing deep learning models to solve complex problems.
EXPERIENCE
TRAINEE ENGINEER
Systech Datasoft Ltd. Sheba House, Road 46, Gulshan - 2, Dhaka
| August 2023 - January 2024
I was responsible for completing daily assignments and attending weekly training sessions. I have also worked on various projects
YOBO - AI Hackathon 2024 | Finalist
I have developed an offline encyclopedia app featured with RAG, multimodal RAG, voice transcription. This application runs totally offline and even on low end devices.
EDUCATION
BACHELORS OF SCIENCE IN COMPUTER SCIENCE AND ENGINEERING
North South University, Bashundhara R/A, Dhaka, Bangladesh
| September 2019 - January 2024
HIGHER SECONDARY SCHOOL CERTIFICATE
Police Lince High School and College, Bogura, Bangladesh
| April 2015 - January 2017
PROJECTS
Knowly (PyTorch, Ollama, HuggingFace Transformers, Chromadb, Langchain)
It is an offline encyclopedia app powered with state-of-the-art LLMs. The application is totally capable of running offline even on low end devices.
https://github.com/Muntasir2179/knowlyBangla Accent Classification (TensorFlow, Librosa, scikit-learn, Django)
Showcases the power of deep learning architectures to classify Bangla voice accent.
https://github.com/Muntasir2179/bangla-accent-classificationSentiment Detector (scikit-learn, spacy, NLTK, Django)
A Django application powered with a machine learning model to detect emotions in text data.
https://github.com/Muntasir2179/sentiment-detector