Technical Skills
| Category |
Skills / Technologies |
| Programming Languages |
|
| Machine Learning & Deep Learning |
- TensorFlow, Keras, PyTorch
- Scikit-learn, OpenCV, NLTK
- Neurosymbolic AI
- Explainable AI (XAI)
- LSTM / CNN models
- Concept-based interpretability
|
| Large Language Models & NLP |
- Transformers, BERT, GPT-family models
- HuggingFace (Transformers, Datasets, Tokenizers)
- LLM interpretability (hidden neuron analysis, concept induction)
- Text classification & embeddings
- Attention analysis
- Prompt engineering
|
| Knowledge Graphs & Semantic Technologies |
- GraphDB (Ontotext)
- RDF / OWL, SPARQL
- Ontology engineering
- Knowledge graph construction & semantic pipelines
- TTL modeling
- Docker-based GraphDB deployment & memory tuning
|
| Frameworks & Tools |
- Jupyter, Git, LaTeX
- Flask, Django
- Docker, Docker Compose
- Linux (Ubuntu)
- HPC / SLURM
- NVIDIA CUDA (basics)
|
| Computer Vision & Generative AI |
- Stable Diffusion, ControlNet, Diffusers
- HED-based pipelines
- Image-to-image generation
- Data augmentation
- Annotation processing (XML / COCO)
|
| Cloud & Server-side |
- AWS (EC2, S3)
- GCP
- Firebase
- REST APIs
- Deployment & monitoring
|
| Web |
|
| Embedded & IoT |
- Raspberry Pi, Arduino
- STM32 (FreeRTOS, CAN Bus)
- Real-time systems
- Scheduling (RM, NPCS)
- Cheddar tool analysis
|
| Other Technical Skills |
- Data engineering (Pandas, NumPy)
- Time-series modeling (LSTM forecasting)
- GPS / CAN sensor data processing (agricultural systems)
- Multi-sensor fusion
|
Leadership
Secretary
September 2025 - Present
Computer Science Graduate Student Association(CSGSA), Kansas State University
September 2025 - Present
Vice Chair(Activity)
March 2022 - March 2023
IEEE Young Professionals, Bangladesh Section
July 2021 - July 2022
Branch Chairperson
September 2019 - October 2020
IEEE CUET Student Branch
September 2019 - October 2020
Webmaster
August 2018 - September 2019
IEEE CUET Student Branch
August 2018 - September 2019
Page design by Ankit Sultana