About Me


Student Researcher | Machine Learning Engineer
I'm an AI Engineer at Sysnova Information Systems Limited, specializing in Generative AI, Large Language Models (LLM), and Computer Vision.
I accomplished my Bachelor of Engineering in Information and Communication Technology from
Islamic University, Bangladesh.
Currently, I'm actively seeking opportunities for MSc/PhD positions in my research areas.
I am deeply passionate about innovating and adapting deep neural network methodologies to tackle challenging problems.
Collaboration is key to my work, and I'm always open to new opportunities. Don't hesitate to reach out to me via email!
- Institution: Islamic University, Bangladesh
- Email: bikasictiu1718@gmail.com
- Github: Bikas0
- Website: CLICK HERE
- Linkedin: CLICK HERE
Research Interest
- Deep Learning
- Natural Language Processing
- Adversarial Machine Learning
- Medical Imagine
- Computer Vision
- Generative AI
Achievements
- Vivasoft AI Hackathon 2025 → Position: Top 2% (Team: Tensor Titans, Within Top 10 out of 378 Certificate )
- SUST (DL Enigma 1.0 - SUST CSE Carnival) 2024 → Position: Top 50% (Team: DataDynamos, 49th out of 98)
- Robi Axiata Limited (Robi Datathon 2.0: Pre-Assessment) 2022 → Position: Top 45% (Team: IU_OUTLIERS, 171st out of 384)
News
- 16/02/2025: I've thrilled to announce that I've joined as an AI Engineer at Sysnova Informatics Systems Limited
- 16/11/2023: I've thrilled to announce that I've joined as a Machine Learning Engineer at Business Automation Limited
- 06/07/2023: I've thrilled to announce that I've joined as an intern on Machine Learning at Deshlink Limited
- 01/2019: I've joined as a Machine Learning Research Assistant at ICE Innovation Lab, Islamic University, Bangladesh.
Resume
Click here to download my full CV.
Bachelor of Engineering Degree's Statement of Courses click here
Education
BSc(Engg.) Information and Communication Technology
Jan. 2018 - Jun. 2023
Islamic University, Bangladesh
Advisors: Prof. Md. Alamgir Hossain, Phd
- Image Super Resolution Based on Generative Adversarial Networks (GANs).
Work Experience
AI Engineer
Feb. 2025 - Present
Sysnova Information Systems Limited, Dhaka, Bangladesh.
Machine Learning Engineer
Nov. 2023 - Feb. 2025
Business Automation Limited, Dhaka, Bangladesh.
Machine Learning Intern
Jul. 2023 - Oct 2023
Deshlink Limited, Dhaka, Bangladesh
Research Experience
Research Assistant
Jan. 2019 - Feb. 2023
ICE Innovation Lab, Islamic University, Bangladesh
Advisor: Prof. Zahidul Islam
- Research and development of Computer Vision in collaboration with IU Vision Team.
Skills & Certificates
Skills
-
Languages
- Python, MATLAB, C, C++, SQL
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Machine Learning
- Concepts: Supervised, Unsupervised Machine Learning, Neural Networks, Convolutional Neural Networks, Graph Neural Networks, Long Short Term Memory, Transformers
- ML Framewroks: PyTorch, Tensorflow 2.0, Scikit-Learn
- Library: Hugging-Face, Numpy, Pandas, Spacy, NLTK, Matplotlib, Seaborn, Plotly
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Computer Vision
- Concepts: Object Detection, Segmentation, Key Point Detection, Face Recognition
- CV Framewroks: OpenCV, Pillow, Scikit-Image, Dlib
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Generative AI
- Concepts: Generative Adversarial Network (GAN), Variational Auto Encoders(VAE), MCP, n8n, RAG, Self Supervision, Zero Shot to Few Shot Prompting, Knowledge Graph, Agentic AI
- Models: OpenAI, Gemini-Pro, LLama 2, 3, 3.1, & 3.2, Mistral, Flan, PHi 3, BERT, OpenChat, Florence-2
- User-Interface: Open-WebUI
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Deployment
- Docker, Flask, FastAPI, Streamlit
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Python Environments
- Anaconda, Miniconda, Venv, Pipenv
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Database
- PostgreSQL, SQLite, Neo4j
- Version Control: Git
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OS
- Windows, Linux (Ubuntu 20.04, 22.04)
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MLOps
- MLflow, Comet ML, Linux, Git, Github Actions CI/CD, Jenkins, Docker, Prometheus, Grafana
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Explainable AI(XAI)
- SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-Agnostic Explanations)
Certificates
- Generative AI with Large Language Models - Coursera
- Introduction to Deep Learning & Neural Networks with Keras - Coursera
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning - Coursera
- Custom Models, Layers, and Loss Functions with TensorFlow - Coursera
- Convolutional Neural Networks with TensorFlow in Python - 365 Data Science
- Deep Learning: Recurrent Neural Networks with Python - Udemy
- Mathematics for Machine Learning: Multivariate Calculus - Coursera
- Neural Networks and Deep Learning - Coursera
- Structuring Machine Learning Projects - Coursera
Publications
Under Review
Bikasuzzaman M, Arman A
A Transformer-Based Approach for Summarizing Employee Logs
Bikasuzzaman M, Polok AP, Saha B
Projects
AI Agent for Customer Interaction and Business Efficiency
Image Super Resolution Based on Generative Adversarial Networks (GANs)
Automated Passport Number Tracking Using Image Verification & Identification
Enhancing Image Generation with Deep Convolutional GANs
Abstract Text Summarization using Large Language Model (LLM)
Aspect-Based Evaluation of Bengali User Feedback on E-commerce Platforms
Forecasting Retail Store Revenue
Brain Tumor classification Using CNN in MRI Imaging
Explainable AI(XAI): Visualizing Model Predictions with SHAP and LIME
Queue Waiting Time Predictions with MLflow
Name Entity Recognition (NER) with LLM
Japanese Text Extraction from Images and Grammatical Error Detection in Sentences
Contact
Location:
Dhaka, Bangladesh