ML/AI Engineer
Recent Computer Science and Engineering graduate from North South University, specializing in machine learning and federated learning. I've published research at IEEE ICIICE 2026 (oral presentation, Dubai) and have a second paper, ChainGuardFL, currently under review at IEEE Access, a Q1-ranked journal. My work spans PyTorch and TensorFlow, with hands-on experience in adversarial ML (POSAttack) and privacy-preserving federated systems (ChainGuardFL). I'm looking for an ML/AI Engineer role in Dhaka where I can apply this research background to real production systems.
2022 – 2026
B.Sc. · Computer Science & Engineering · 3.00 / 4.00
Higher Secondary Certificate (HSC) · 4.58 / 5.00
Secondary School Certificate (SSC) · 4.89 / 5.00
প্রজেক্ট
14-disease chest X-ray detector: trained DenseNet121 on 89,696 NIH ChestX-ray14 images, reaching mean AUC 0.7765; Grad-CAM heatmaps visualize model focus regions. Deployment: LLaMA (via Groq API) auto-generates structured radiology reports; full-stack dep
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প্রজেক্ট
Built an end-to-end pipeline on 5,351 patient records using pre-operative features only, with strict leakage prevention and SMOTE to handle 2.7% class imbalance. 97.5% accuracy, AUC = 0.813 — used SHAP for clinical explainability; deployed the final model
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প্রজেক্ট
Compared LSTM, Bi-LSTM with custom Attention, and Transformer architectures for stock price prediction; deployed as a live dashboard with real-time Yahoo Finance data. Bi-LSTM + Attention achieved best performance: RMSE = 4.13, R² = 0.9556 on out-of-sampl
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