Research
My research is on deep learning for time series and sequential data: how sequence models such as LSTMs, GRUs, temporal convolutional networks and attention-based hybrids learn from data that unfolds over time, how to make their predictions more accurate, and how they behave when that data changes.
I have worked on hybrid ensembles for forecasting and load prediction, and on sequence models trained on hospital time series that have to cope with years of shifting data. As a freelance AI engineer, I also build production AI systems: real-time voice agents, retrieval-augmented LLM applications and computer-vision pipelines.
Publications and preprints
STI 2024Hybrid Deep Learning Approach for Load Profile Prediction
BiLSTM, BiGRU and TCN layers with self-attention, combined by an XGBoost regressor, for real-time load forecasting in smart grids. 6th International Conference on Sustainable Technologies for Industry 5.0, Dhaka.
ICISET 2024Enhancing Prediction Accuracy using Ensemble Deep Learning Methods on Time Series Data
An ensemble of BiLSTM, BiGRU and TCN with an XGBoost meta-learner for general time series forecasting. International Conference on Innovations in Science, Engineering and Technology (IEEE).
PreprintAudit Before You Update: Recording Artifacts and the Limits of Bounded Model Updates in MIMIC-IV ICU Prediction
Sequence models (LSTM and gradient-boosted trees) on ICU time series from 2008–2022: audit recording artifacts before any update, detect drift without labels, and compare bounded against full model updates with pre-specified non-inferiority margins.
ManuscriptWhere does explanation movement go when part of a clinical model is frozen? A bounded-update case study in intensive care
Updates a two-stream sequence model (LSTM over hourly ICU time series) on newer data with and without freezing its encoder, and tracks how its explanations and the literature they retrieve shift.
Live demos
Kotha AI ● Live
A Bangla voice receptionist for dental clinics that books, reschedules and cancels real appointments over a live call, with a staff portal showing every transcript.
- Speech recognition chosen by measurement: 48/50 Bangladeshi names correct vs 38/50 for the alternative
- Double-booking made impossible in the database, not the prompt
- Automatic fallback for every provider, with a watchdog for silent failures
AI Messenger ● Live
A family messenger with an AI-twin mode: when someone is busy, their twin replies in their own tone, using retrieval over their journals and past conversations and a Big Five personality profile.
- Retrieval-augmented memory with FAISS and per-user privacy boundaries
- Relationship-aware replies (parent, sibling, partner)
- Real-time chat over WebSockets
Selected projects
Physician ID from prescription photos
Identifies the prescribing doctor from a phone photo of a prescription page using the printed letterhead: ResNet-50 embeddings, OCR features and nearest-neighbour retrieval. 93.1% leave-one-out accuracy on the images that can be matched.
Video to recipe with vision-language models
Turns a cooking video into a structured recipe: selects key frames, captions them with BLIP, transcribes the audio with Whisper, and has an LLM combine both into a recipe with dietary variants.
Matritya: maternal health app
An Android app for expecting mothers in Bangladesh with trimester-based diet and exercise plans, symptom-based disease prediction, vaccination reminders and a community space.
Genome variant classification
Classifies ClinVar single-nucleotide variants as benign, pathogenic or of uncertain significance with a 1D CNN over allele encodings and genomic position.
Education and recognition
BSc in Computer Science and Engineering
Patuakhali Science and Technology University, Bangladesh
Research Assistant, Patuakhali Science and Technology University
Hybrid deep learning models for time series forecasting, leading to the ICISET 2024 and STI 2024 papers.
Champion, Barisal Divisional Hackathon (Hackverse)
9th place, Mujib Borsho IT Carnival
Tools
Contact
I'm happy to talk about research collaborations, graduate study and AI engineering. Email is the quickest way to reach me.