I specialize in Deep Learning, Computer Vision, and NLP. I have hands-on experience with TensorFlow, PyTorch, OpenCV, and LLM integration. My focus is on building practical AI systems that deliver measurable results.
Final-year Computer Science student specializing in Computer Vision, Deep Learning, and NLP. I build practical AI systems with proven impact — % classification accuracy,% candidate matching precision, and % error detection.
I'm Jannatul Ferdaues, a passionate final-year Computer Science student and AI Engineer based in Dhaka, Bangladesh. I specialize in building practical AI solutions in Computer Vision and NLP that deliver real, measurable results — 95% classification accuracy, 87% candidate matching precision, and 98% error detection.

WildLearner · January 14, 2026
Intermediate level. Certificate of Achievement for successful completion of the Python Course.

HP LIFE / HP Foundation · January 14, 2026
Certificate of Completion. Covered AI's role in business, prompt engineering, ethical use, and professional growth.

AI CERTs™ · July 7, 2025
Blockchain-based certification. Successfully completed requirements for AI+ Prompt Engineer Level 1.

UniAthena / Cambridge International Qualifications · January 13, 2026
Certificate of successful completion delivered in partnership with Cambridge International Qualifications, UK.

AWS Academy · August 16, 2025
Certificate of Completion. 20 course hours completed. AWS Academy Graduate.

HRDi / Daffodil International University · January 15, 2026
Certificate of Participation for the leadership session offered by Human Resource Development Institute.

Free Academy.ai · January 23, 2026
Certificate of Completion. Course code: CA-2026-MLF-08SKC9.
End-to-end AI & ML projects — from research to real-world deployment.
End-to-end image captioning system using CNN and LSTM models. Trained on COCO dataset to generate contextual descriptions for images.

Intelligent recruitment platform with 87% candidate-job matching accuracy. Automates resume screening and reduces hiring time by 60% using NLP and ML ranking.

AI-powered debugging tool supporting C, C++, Java, and Python. Achieved 98% error detection accuracy with pattern matching and AST analysis.

Real-time fish classification system using ResNet50 transfer learning. Reduced identification time to under 2 seconds with <5% misclassification rate.

Find answers to common questions about my design process, services etc...
I specialize in Deep Learning, Computer Vision, and NLP. I have hands-on experience with TensorFlow, PyTorch, OpenCV, and LLM integration. My focus is on building practical AI systems that deliver measurable results.
Yes! I am actively seeking an AI Engineer / Machine Learning Intern position. I’m a final-year CS student graduating in 2027 and open to remote or on-site opportunities.
HireMind AI — an AI-powered recruitment platform that achieved 87% candidate-job matching accuracy and reduced resume screening time by 60%.
I co-authored “Automated Aquarium Fish Classification Using Deep Transfer Learning”, currently under review. We achieved 95.05% classification accuracy using fine-tuned ResNet50 on a custom dataset.
My core stack includes Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, Docker, and Flask. I also work with HTML, CSS, JavaScript, and Next.js for full-stack AI applications.
Yes. In AquaVision AI, I built a fish species classification system that performs real-time inference in under 2 seconds using transfer learning.