My Products

🏥 Helicobacter Pylori Data Center

Role: Lead Architect & Full Stack Developer

Live Site: https://655807.zeabur.app/

Description: Designed and developed a comprehensive data management platform for Helicobacter pylori research, handling millions of records with advanced visualization and analytics capabilities.

My Contributions:

• Architected the entire system using cloud-native technologies
• Developed RESTful APIs and database schema design
• Implemented real-time data visualization dashboards
• Built ETL pipelines for data integration from multiple sources
• Optimized database queries for handling large-scale datasets
• Deployed and maintained the production environment

Tech Stack: Node.js, Express, PostgreSQL, React, Docker, Kubernetes, Zeabur

🏥 Hospital Monitoring Systems

Role: Lead Developer & DevOps Engineer

Live Sites:

• https://6325lm.zeabur.app/
• https://akolp123.zeabur.app/

Description: Built real-time monitoring platforms for hospital operations, patient tracking, and medical equipment management.

My Contributions:

• Designed scalable architecture for real-time data processing
• Implemented WebSocket connections for live updates
• Created responsive dashboards with advanced filtering
• Integrated alert and notification systems
• Set up CI/CD pipelines for automated deployment
• Managed multi-environment deployments

Tech Stack: Node.js, WebSocket, PostgreSQL, Vue.js, Redis, Docker

🤖 AI Medical Assistant

Role: LLM Engineer & Full Stack Developer

Live Site: https://562lmj.zeabur.app/

Description: Developed an intelligent medical assistant using Large Language Models with RAG (Retrieval-Augmented Generation) capabilities for medical information retrieval and diagnosis support.

My Contributions:

• Implemented RAG system with vector database integration
• Fine-tuned LLM models for medical domain
• Built conversational AI interface with context management
• Integrated medical knowledge bases and research papers
• Implemented secure data handling and privacy controls
• Optimized response time and accuracy

Tech Stack: Python, LangChain, OpenAI API, ChromaDB, FastAPI, React

📱 EndoAI Patient Station App

Role: Mobile Developer & Backend Engineer

Description: Developed a cross-platform patient management application for Android tablets, enabling seamless patient-doctor communication and medical record access.

My Contributions:

• Built the entire mobile application using Flutter
• Designed and implemented backend APIs
• Integrated secure authentication and authorization
• Implemented offline-first architecture with data sync
• Created intuitive UI/UX for elderly patients
• Managed app deployment and updates

Tech Stack: Flutter, Dart, Node.js, PostgreSQL, Firebase

🔬 AI-Powered Cancer Screening System

Role: AI Engineer & Software Developer

Description: Developed an AI-powered auxiliary screening system for early detection of gastrointestinal cancers using computer vision and deep learning.

My Contributions:

• Trained and optimized deep learning models for image analysis
• Built real-time inference pipeline for medical images
• Developed web-based interface for medical professionals
• Implemented DICOM image processing and handling
• Created comprehensive reporting and documentation system
• Ensured HIPAA compliance and data security

Tech Stack: Python, TensorFlow, PyTorch, OpenCV, Flask, PostgreSQL

🗄️ Enterprise Data Warehouse

Role: Data Middle Desk Leader & Data Engineer

Description: Built enterprise-level data warehouse from scratch, transforming scattered data into structured and unstructured data systems.

My Contributions:

• Designed data warehouse architecture and schema
• Built ETL pipelines for data integration
• Implemented data quality checks and validation
• Created data marts for different business units
• Developed data governance policies and procedures
• Optimized query performance for large datasets

Tech Stack: PostgreSQL, Apache Spark, Airflow, Python, SQL

🫀 3D Digital Organ Modeling

Role: 3D Digital Organ Builder

Description: Created 3D digital models of human organs for medical education, surgical planning, and research purposes.

My Contributions:

• Developed 3D reconstruction algorithms from medical imaging
• Built interactive 3D visualization tools
• Implemented real-time rendering and manipulation
• Created anatomically accurate organ models
• Integrated with VR/AR platforms for immersive experience

Tech Stack: Three.js, WebGL, Python, Medical Imaging Libraries