MLOps & Generative AI Engineer | 15+ Production ML Systems | 99.9% Uptime
Building scalable, production-grade AI/ML solutions that transform industries
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MLOps & Generative AI Engineer with expertise in architecting, deploying, and maintaining production-grade ML systems across diverse industries. Specialized in end-to-end MLOps pipelines, Generative AI development, and cloud-native AI solutions. Core Expertise:
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Production ML Systems: 15+ Active Deployments
Uptime Achievement: 99.9% Reliability
Industries Served: Healthcare, Finance, E-commerce
Model Accuracy: 95%+ Average Performance
Deployment Efficiency: 75% Faster with IaC
Code Quality: 100K+ Lines of Production CodeCurrent Focus:
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# Install all dependencies
pip install -r ML_EndToEnd_Projects/requirements.txt
# Launch all demos simultaneously
python launch_all_demos.py
# Visit: http://localhost:8501, 8502, 8503... for each project
# Or launch individual projects
cd ML_EndToEnd_Projects/gen_ai/11_ai_code_generator
python launch_demo.py# Experience The 7th Sense Interactive Portfolio
cd ML_EndToEnd_Projects/portfolio_website
npm install
npm run dev
# Visit: http://localhost:3000
ML_EndToEnd_Projects/
├── 🤖 gen_ai/ # Generative AI Systems
│ ├── 11_ai_code_generator/ # GPT + LangChain Code Generation
│ ├── 12_ai_content_creator/ # Multi-modal Content Platform
│ ├── 13_document_intelligence/ # OCR + NLP Document Analysis
│ ├── 14_conversational_ai/ # Enterprise Chatbot System
│ └── 15_drug_discovery_ai/ # Molecular Property Prediction
├── 📊 traditional_ml/ # Classical ML Systems
│ ├── 01_ecommerce_recommender/ # Hybrid Recommendation Engine
│ ├── 02_credit_risk_assessment/ # Financial Risk Models
│ ├── 03_credit_risk_cecl_model/ # CECL Compliance System
│ ├── 04_stock_forecasting/ # Time-series Prediction
│ ├── 05_computer_vision/ # Medical Imaging AI
│ ├── 06_nlp_text_analysis/ # Multi-task NLP Platform
│ ├── 07_fraud_detection/ # Real-time Fraud Detection
│ ├── 08_customer_churn/ # Churn Prediction Models
│ ├── 09_supply_chain_optimization/ # Supply Chain Analytics
│ ├── 10_energy_prediction/ # Energy Forecasting
│ └── 11_autonomous_vehicle/ # Computer Vision for AV
├── 🌐 portfolio_website/ # The 7th Sense Interactive Portfolio
├── 📊 dashboard.py # Central Streamlit Hub
└── 🐳 Dockerfile # Production Deployment
| Project | Description | Tech Stack | Live Demo |
|---|---|---|---|
| 🧠 AI Code Generator | Natural Language → Code | GPT-4, LangChain, FastAPI |  |
| 🎨 AI Content Creator | Text + Image Generation | GPT, T5, Stable Diffusion |  |
| 📄 Document Intelligence | OCR + NLP Analysis | Tesseract, Transformers |  |
| 💬 Conversational AI | Enterprise Chatbot | BERT, Rasa, WebSocket |  |
| 🧬 Drug Discovery AI | Molecular Optimization | PyTorch Geometric, RDKit |  |
| Project | Description | Tech Stack | Live Demo |
|---|---|---|---|
| 🛒 E-commerce Recommender | Hybrid ML Engine | TensorFlow, scikit-learn |  |
| 💳 Credit Risk Assessment | Financial Risk Models | XGBoost, SHAP, AWS |  |
| 📈 Stock Forecasting | Time-series Prediction | LSTM, Prophet, Transformers |  |
| 👁️ Computer Vision | Medical Imaging AI | CNN, ViT, Grad-CAM |  |
| 📝 NLP Text Analysis | Multi-task NLP Platform | BERT, spaCy, Transformers |  |
Additional Systems: Fraud Detection • Customer Churn • Supply Chain Optimization • Energy Prediction • Autonomous Vehicle Computer Vision
🎯 Responsibilities:
- Led architecture and deployment of 15+ production ML systems
- Built LLM-driven systems for code generation and content creation
- Implemented MLOps pipelines with AWS SageMaker and MLflow
- Achieved 99.9% uptime with automated infrastructure provisioning
📊 Key Achievements:
- 75% deployment time reduction with Infrastructure as Code
- 10K+ requests/day processing capacity
- Mentored teams on MLOps best practices🎯 Responsibilities:
- Engineered ML systems for 10M+ daily users
- Deployed predictive maintenance models reducing outages by 40%
- Optimized SQL pipelines improving efficiency by 35%
- Conducted geospatial analytics for network expansion
📊 Key Achievements:
- Reduced system outages by 40% with predictive models
- Improved query performance by 35% on terabyte-scale data
- Deployed CI/CD workflows with Docker and Kubernetes🎯 Responsibilities:
- Designed AI models supporting 200K+ patients
- Built PyTorch ensemble models with 95%+ accuracy
- Created cloud-native ETL systems with automated validation
- Partnered with clinicians for interpretable AI models
📊 Key Achievements:
- 95%+ accuracy for clinical risk prediction
- Scalable ETL systems handling diverse data formats
- Docker-based deployment with performance monitoring- 🎓 MS Financial Engineering - WorldQuant University (2023)
- 🎓 BS Biomedical Engineering - University of Cameroon (2013)
- ☁️ AWS Machine Learning Specialty - Advanced ML on AWS
- 🤖 AI Solution Architect (ELVTR) - Enterprise AI Systems
- 🐳 Docker & Kubernetes Certified - Container Orchestration
- 🏗️ Terraform Associate - Infrastructure as Code
- 📊 Microsoft Data Scientist Associate - Data Science Excellence
- 🔐 CompTIA Security+ - Cybersecurity Fundamentals
- 🏆 AI2030 Global Fellow (2025) - AI Governance Leadership
- 🏛️ GOVAI Policy Fellow (2025) - AI Policy Research
- 🎤 AI in Healthcare Summit Speaker (2024) - Industry Thought Leader
- 📝 Open Source Contributor - LangChain & Hugging Face
- ✍️ Technical Author - Responsible AI Publications (5K+ reads)
# Build and run any project with Docker
docker build -t ai-content-creator -f ML_EndToEnd_Projects/gen_ai/12_ai_content_creator/Dockerfile .
docker run -p 8000:8000 ai-content-creator
# Or use docker-compose for full stack
docker-compose up -d- ☁️ AWS SageMaker - Model training and deployment
- 🐳 Kubernetes - Container orchestration and scaling
- 🏗️ Terraform - Infrastructure as Code
- 📊 MLflow - Experiment tracking and model registry
- 🔄 GitHub Actions - CI/CD automation
| Metric | Achievement | Industry Impact |
|---|---|---|
| 🚀 System Uptime | 99.9% | Production Reliability |
| ⚡ Response Time | <200ms | Real-time Processing |
| 🎯 Model Accuracy | 95%+ | Prediction Quality |
| 📈 Active Deployments | 15+ Systems | Live ML Infrastructure |
| 👥 Users Served | 200K+ | Healthcare & Finance |
| 💰 Cost Optimization | 75% Reduction | Infrastructure Efficiency |
| 🔄 Deployment Speed | 75% Faster | DevOps Excellence |
Revolutionary portfolio experience featuring:
- 🌍 Earthquake Launch Animation - Dramatic 5.5-second entrance with The 7th Sense symbol
- 🎯 3D Spinning Profile - 200px spherical effects with dynamic lighting
- 🧭 Intelligent Navigation - Seamless external portfolio integration
- 📱 Responsive Excellence - Optimized for all devices
- ⚡ Live Project Demos - Interactive showcases with real-time data
- 🏗️ End-to-End ML Pipelines - Data to deployment automation
- 🤖 Generative AI Solutions - Custom LLM applications
- ☁️ Cloud ML Architecture - Scalable AWS/Azure/GCP solutions
- 📊 Model Monitoring - Performance and drift detection
- 🔒 AI Governance - Responsible AI implementation
- 🎓 Technical Training - MLOps and AI best practices
- 💬 Conversational AI - Enterprise chatbots and virtual assistants
- 👁️ Computer Vision - Medical imaging and object detection
- 📝 NLP Systems - Text analysis and content generation
- 💰 Financial ML - Risk models and algorithmic trading
- 🏥 Healthcare AI - Clinical decision support systems
- 🛒 Recommendation Engines - Personalization platforms
📧 Primary: rodabeck777@gmail.com
📧 Business: bidias_consulting@outlook.com
📱 Phone: (214) 886-3785
📍 Location: Dallas, TX | Remote Available
⏰ Timezone: CST (UTC-6)
- Bridging Innovation and Accountability: AI Governance in 2025
- Financial Contagion Meets AI: Systemic Risk Analysis
- The Implementation Crisis: Why AI Policies Fail
- Beyond Bias Audits: Continuous AI Accountability
🔭 Active Projects:
- Advanced generative AI optimization
- Multi-cloud MLOps automation
- AI governance framework development
- Edge AI deployment strategies
🌱 Learning & Growth:
- Latest LLM architectures and fine-tuning
- Quantum machine learning applications
- Advanced Kubernetes patterns for ML
- Responsible AI implementation at scale
💼 Open to Opportunities:
- Senior MLOps/AI Engineering roles
- Generative AI consulting projects
- AI governance and compliance initiatives
- Technical leadership positions
🎯 2025 Vision:
- Deploy 20+ production ML systems
- Contribute to major open-source AI projects
- Speak at premier AI/ML conferences
- Advance AI governance standards⭐ If you found my ML/AI work impressive, please star the repositories!
Built with 🤖 by Joseph Bidias - The 7th Sense | © 2025 | All Rights Reserved
"In the realm of artificial intelligence, the 7th sense is the intuition to build systems that don't just process data, but transform the very fabric of human potential."