About
Research Focus
I am an undergraduate researcher working at the intersection of Machine Learning, Deep Learning, and applied Artificial Intelligence. My core interest lies in building systems that are high-performing in experiments while remaining stable and adaptable in real-world environments.
Engineering Approach
My work emphasizes robustness, generalization, and deployability. I approach projects from an end-to-end systems perspective, from data preprocessing and architecture design to evaluation, optimization, and practical implementation.
Academic Contribution
I have authored peer-reviewed research publications and contribute to the academic community as a reviewer for international journals and publishers. My research experience spans computer vision, sequential modeling, NLP, and domain-specific AI frameworks.
Long-Term Vision
My long-term objective is to contribute to advanced intelligent systems research while bridging the gap between theoretical AI development and high-impact industrial applications.
Portfolio Pathways
The site is organized around evidence: research output, applied systems, and academic service.
Recent Research
Industry 5.0-Driven Deep Learning Framework for Long-Term Global CO2 Emission Forecasting
ECCT 2026 / ACSR (Springer Nature) / 2026
Few-Shot Multimodal Instruction Tuning for Vision-Language Models
ECCT 2026 / Taylor & Francis / 2026
Biomedical LLM Hallucination Detection via Classifier-Conditioned Factuality Classification
ECCT 2026 / Taylor & Francis / 2026
End-to-End Deep Learning Framework for Kidney MRI Segmentation and Explainable CKD Detection Using Transfer Learning
ECCT 2026 / ACSR (Springer Nature) / 2026
Applied Work
Computer Vision
VirtualMouse-AI
Gesture-controlled mouse interaction using OpenCV and MediaPipe.
Real-Time Vision
Real-Time Color Detection
Live color and gesture detection for interactive vision workflows.
Forecasting
Sales Forecasting
Time-series forecasting workflow for business demand planning.
Predictive Modeling
Stock Prediction
Market movement prediction using sequential data and ML features.