Ikteder Akhand Udoy

AI/ML and Software Engineering

Boise, Idaho

Boise State: iktederakhandudo989@u.boisestate.edu

ikteder.github.io

Summary

PhD researcher and software engineer with experience in applied machine learning, forecasting, data analytics, and AI-driven automation. Strong in Python, SQL, pandas, NumPy, scikit-learn, PyTorch, and reproducible experimentation. Experienced building data pipelines, predictive models, validation workflows, and decision-support tools that turn complex data into reliable business and technical insights.

Education

PhD in Computing, Data Science and Machine Learning

Boise State University · Advisor: Dr. Omiya Hassan

Expected Dec 2027

B.S. in Computer Science and Engineering

American International University-Bangladesh

2017 – 2021

Research Experience

Graduate Research Assistant · Boise State University, LPiNS Lab

Build Python and PyTorch pipelines for preprocessing, training, evaluation, experiment orchestration, metric aggregation, and reporting.
Develop controlled experiments across classification, vision, and language workloads with ablations, multi-seed evaluation, and error analysis.
Create reusable workflows for validation, structured logging, checkpoint analysis, and model comparison.

2023 – Present

Teaching Assistant · Boise State University

Support algorithms, data structures, digital systems, AI hardware systems, programming, debugging, and problem solving.

2023 – Present

Industry Experience

Software Engineer I · Playense

Software and Application Development

Developed, tested, and debugged application features using Python, C++, and Dart while translating requirements into software.
Implemented and integrated software components, investigated technical issues, and adapted solutions to evolving requirements.
Completed and delivered eight client projects through final handoff.

Jan 2022 – Jun 2023

Peer-Reviewed Publications

I. A. Udoy and O. Hassan, “Multiplier-Free LLM Linear Layers via Weights-Only Power-of-Two QAT,” IEEE ICAD, 2026. DOI: 10.1109/ICAD69378.2026.11609079.
M. I. Nadim et al., including I. A. Udoy, “Attention-Driven Hybrid Deep Learning for Automated Alzheimer’s Disease Severity Assessment via MRI Neuroimaging,” Emerging Science Journal, 10(3), 2026.
I. A. Udoy, R. Sharmin, M. M. Hossain, S. K. Islam, and O. Hassan, “Lightweight Binarized Neural Network for Real-Time Sleep Apnea Detection on Edge Hardware,” IEEE MeMeA, 2025. DOI: 10.1109/MeMeA65319.2025.11068064.
I. A. Udoy and O. Hassan, “AI-Driven Technology in Heart Failure Detection and Diagnosis: A Review of the Advancement in Personalized Healthcare,” Symmetry, 17(3), 469, 2025. DOI: 10.3390/sym17030469.

Preprint & Current Research

Preprint: M. M. Arifin et al., including I. A. Udoy, “A Survey on the Application of Generative Adversarial Networks in Cybersecurity,” arXiv:2407.08839, 2024.

Current: SPARQ: Single-Term Power-of-Two Quantization and Multiplier-Free Hardware Acceleration for Efficient Neural Network Inference.

Selected Data Science and AI Projects

Demand Forecasting and Inventory Decision Support: Retail time-series forecasting with lag, rolling, promotion, holiday, and calendar features plus RMSE, MAE, and MAPE evaluation.

Customer Churn and Revenue Risk Analytics: Python/SQL workflow for cleaning, feature engineering, churn prediction, segmentation, revenue-risk prioritization, and dashboard-ready outputs.

Dataset Quality and Leakage Detection Platform: Reusable checks for missingness, duplicates, split leakage, label conflicts, outliers, imbalance, and distribution drift.

Technical Skills

Programming / DataPython, SQL, C/C++, Bash, pandas, NumPy, JupyterMachine Learningscikit-learn, XGBoost, PyTorch, TensorFlow, regression, classification, predictive modeling, time-series forecastingAutomationHugging Face, LLM applications, retrieval workflows, agentic AI, automated experimentationEngineeringGit/GitHub, Linux, Docker, pytest, FastAPI, REST APIs, SQLite, Streamlit, automated testing