
NLP Pipeline for Medical Data Processing
Built an NLP pipeline to process Medline XML and ChEBI ontology data for clinical research and pharmaceutical applications.
A showcase of my software development projects, from web applications to AI solutions and everything in between.
Built an NLP pipeline to process Medline XML and ChEBI ontology data for clinical research and pharmaceutical applications.
Conducted systematic comparative experiments on Mistral-7B fine-tuning using three distinct approaches on NewsKG21 dataset to optimize knowledge extraction performance.
Built a comprehensive remote proctoring system employing multiple machine learning models to assist administrators in detecting cheating during large-scale exams.
Replicated a research study on hospital course summarization using Clinical-T5, LLaMA2-13B, and GPT-4 with the MIMIC-IV dataset, implementing advanced fine-tuning techniques and comprehensive evaluation.
Dynamic systems model analyzing how lifestyle choices impact insulin requirements and blood glucose stability in diabetic individuals using Vensim simulation.
Built an NLP pipeline to process Medline XML and ChEBI ontology data for clinical research and pharmaceutical applications.
Conducted systematic comparative experiments on Mistral-7B fine-tuning using three distinct approaches on NewsKG21 dataset to optimize knowledge extraction performance.
Developed a bio-inspired optimization system integrating genetic algorithms with physiological modeling for personalized Type 2 diabetes management.
Built a comprehensive remote proctoring system employing multiple machine learning models to assist administrators in detecting cheating during large-scale exams.
Published research enhancing the resilience of Deep Reinforcement Learning agents against adversarial attacks through statistical and model-based techniques.
Developed a machine learning system to recognize and classify different human activities using sensor data and computer vision techniques.
Created a two-stage predictive model to forecast flight delays upon arrival and delay duration using departure weather data.
Developed predictive models for the agriculture industry to analyze and forecast crop yields using agricultural data and environmental factors.
Developed an end-to-end pipeline for robust segmentation of 2-cell-stage human embryos in grayscale microscopic images using advanced computer vision techniques.
Replicated a research study on hospital course summarization using Clinical-T5, LLaMA2-13B, and GPT-4 with the MIMIC-IV dataset, implementing advanced fine-tuning techniques and comprehensive evaluation.
Developed a comprehensive medical knowledge graph system using MedCAT for entity extraction and Neo4j for storage, integrating SNOMED CT medical terminology.
Comprehensive comparison of 1D CNN, CNN-LSTM, and Transformer architectures for smartphone-based human activity recognition using accelerometer and gyroscope data.
Dynamic systems model analyzing how lifestyle choices impact insulin requirements and blood glucose stability in diabetic individuals using Vensim simulation.
I'm always excited to work on new projects and challenges. Let's discuss how we can bring your ideas to life!