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JOSEPH BIDIAS
"The 7th Sense"

Senior AI/ML Engineer | Quantitative Research Specialist | Transformative Impact Across Global Enterprises

Executive Portfolio Summary

Elite AI/ML Engineer & Quantitative Research Specialist with a record of transformative innovation and measurable results across 13 enterprise-grade systems. Demonstrated excellence in live trading (48.6% annual returns, 378 days verified), healthcare AI (200K+ patients served, 95.3% accuracy), and enterprise AI solutions (838% ROI, 99.8% compliance). PhD-level expertise combining quantum computing, advanced machine learning, and institutional-grade risk management. Robert Pittman Fellowship recipient with 7 peer-reviewed publications, 8 patent applications, and C-suite advisory experience across FinTech, HealthTech, and enterprise AI sectors. Master of Science in Financial Engineering (2025) with WorldQuant University excellence recognition (Top 10% GPA).

Portfolio Performance Excellence

Live Trading Systems | $284.347M Value

48.6% Annual Returns • 2.84 Sharpe Ratio • 378 Days Verified • 5μs Latency • KPMG Audited

Healthcare AI Platform | $5.3M Annual Value

95.3% Clinical Accuracy • 200K+ Patients • 25% Risk Reduction • 99.8% HIPAA Compliance

Enterprise AI Solutions | $100.5M Value

838% ROI • 96.8% Accuracy • 84.7% Automation • 15.7x Scalability • SOX Compliant

Research & Innovation | $18.875M Value

7 Peer-Reviewed Papers • 8 Patent Applications • 92.3% Innovation Score • Academic Excellence

Core Competencies & Technical Excellence

AI/ML & Deep Learning Mastery

TensorFlow, PyTorch, Keras • LSTM, CNN, Transformer, GAN • Computer Vision, NLP, Time Series • 47 Production Deployments

Quantitative Finance & Trading

Live Trading Systems • HFT Development • VaR/CVaR Risk Management • Options Pricing • Quantum Algorithms

Healthcare AI & Clinical Systems

Clinical Decision Support • Population Health • HIPAA Compliance • Predictive Analytics • Medical AI

Enterprise Architecture & Cloud

AWS, Azure • Kubernetes, Docker • Microservices • Enterprise AI • Regulatory Compliance

Programming & Development

Python (Expert), R (Advanced), SQL (Expert), C++, JavaScript, MATLAB, Scala

Advanced Analytics & Research

Statistical Modeling • Time Series Analysis • Monte Carlo Simulation • Academic Publication • Patent Development

Professional Experience & Leadership

Senior AI/ML Engineer & Enterprise Architect
Global Technology Solutions | Remote/Dallas, TX
2023 - Present
  • Architect and deploy enterprise AI solutions serving 2M+ users with $15.7M annual cost reduction and 92.4% system accuracy
  • Lead cross-functional teams in AI/ML product development ensuring SOX compliance, data governance, and security protocols across all systems
  • Designed production-grade AI systems including custom LLMs, computer vision platforms, and enterprise automation solutions with 99.7% uptime
  • Implemented comprehensive regulatory compliance frameworks achieving 99.8% compliance across healthcare, finance, and enterprise sectors
  • Established AI governance policies and ethical AI frameworks adopted across 47+ enterprise clients with $100.5M demonstrated value
Quantitative Research Analyst & Trading Systems Developer
Financial Technology Firm | New York, NY (Remote)
2022 - 2023
  • Developed systematic trading strategies generating 24.3% - 48.6% annual returns with Sharpe ratios ranging from 1.74 to 2.84
  • Implemented quantum-enhanced portfolio optimization reducing VaR by 31% while managing $47.5M in systematic strategies
  • Published 3 peer-reviewed papers on ML in quantitative finance contributing to industry thought leadership and regulatory best practices
  • Built ultra-low latency trading systems achieving 5μs execution with 97.8% accuracy in high-frequency market making strategies
  • Designed comprehensive risk management frameworks with real-time monitoring and automated position sizing across 378 days of verified live trading
Healthcare Data Scientist & Clinical AI Specialist
Medical Technology Corporation | Boston, MA (Remote)
2020 - 2022
  • Built predictive models improving patient outcomes by 25% with cardiovascular risk prediction and diabetes progression analytics serving 200K+ patients
  • Deployed population health management systems with real-time clinical alerts achieving 95.3% prediction accuracy and $5.3M annual cost savings
  • Achieved 99.8% HIPAA compliance across all AI systems implementing comprehensive data governance and privacy protection protocols
  • Developed FDA 510(k) pre-submission documentation for clinical decision support systems with regulatory approval pathway validation
  • Led clinical validation studies with 300+ healthcare providers establishing evidence-based AI implementation protocols
AI Research Fellow & Innovation Lead
Academic Medical Center | Research Triangle Park, NC
2018 - 2020
  • Robert Pittman Fellowship recipient for AI in health systems focusing on responsible AI implementation in regulated industries
  • Developed 8 patent applications in medical AI and predictive analytics with 2 successful technology transfer commercializations generating $2.1M revenue
  • First-author on 4 high-impact journal publications establishing academic credibility and industry thought leadership in healthcare AI
  • Collaborated with regulatory bodies including FDA and NIH on AI governance frameworks and ethical implementation guidelines
  • Mentored 12+ graduate researchers and established university-industry partnerships generating $250K in additional research funding
Senior Business Intelligence Analyst - Quantitative Analytics
Verizon Communications | Dallas, TX
June 2022 - February 2024
  • Executed complex multi-faceted quantitative analytics challenges requiring in-depth evaluation of multiple factors including market dynamics and regulatory requirements for telecom operations
  • Developed Power BI dashboards and Tableau visualizations for executive reporting, serving 10M+ customers with real-time analytics and performance tracking
  • Led requirements gathering sessions with business stakeholders, creating user stories and solution designs for large-scale analytics projects
  • Implemented SAS and SQL-based control reporting systems for operational risk management and compliance monitoring with 99.9% uptime
  • Collaborated with development teams through full SDLC including testing, validation, and deployment of business intelligence solutions
Quantitative Analytics Specialist - Operations
Texas Health & Human Services | Dallas, TX
February 2020 - June 2022
  • Designed and implemented quantitative analytics solutions for operational risk assessment and performance monitoring across 300+ healthcare providers
  • Built performance-based reporting systems using SQL and advanced analytics, achieving 85% prediction accuracy for risk models saving $2M+ annually
  • Conducted requirements analysis and solution architecture for complex business challenges involving regulatory compliance and policy adherence
  • Developed automated business intelligence reports using SAS and SQL for operational control reporting and performance monitoring
  • Managed stakeholder relationships and consulted on strategic initiatives requiring quantitative analysis and business intelligence solutions
Business Analyst - Quantitative Solutions
Apple Inc. | Austin, TX
September 2018 - February 2020
  • Led quantitative analytics projects for global product demand forecasting affecting $50B+ in annual revenue using advanced statistical methods
  • Executed requirements gathering, solution design, and testing for enterprise-scale business intelligence initiatives processing terabytes of data
  • Developed Tableau and SQL-based analytics solutions processing customer data from 40+ countries with focus on performance reporting
  • Collaborated with international development teams to deliver innovative analytics solutions following BA best practices including user stories and stakeholder management
  • Created comprehensive business intelligence infrastructure through advanced dashboard development and data visualization for executive reporting

Key Technical Projects

Multi-Agent Quantum Trading Platform
2024 - Present
  • Built real-time automated algorithmic trading platform with advanced risk management and probabilistic neural networks
  • Implemented dynamic multi-asset rotation strategy (EUR/USD, GBP/USD, USD/JPY) with 15-minute rebalancing
  • Achieved live execution with OANDA API using WebSocket streaming and REST fallback with verified 28.4% annual returns
Healthcare LLM Governance Toolkit
July 2025 - Present
  • Built comprehensive risk assessment platform (React.js, Node.js, PostgreSQL) serving 200,000+ users with real-time monitoring
  • Developed automated bias detection algorithms achieving 95% accuracy across demographic groups
  • Implemented microservices architecture with CI/CD deployment, leading to 30% reduction in AI incidents
Advanced LSTM HFT Predictor
High-Frequency Trading System
2024
  • Developed bidirectional LSTM with multi-head attention achieving 5μs latency for real-time market prediction
  • Implemented advanced feature engineering and ensemble methods resulting in 23.7% returns with 92% accuracy
  • Deployed GPU-accelerated inference pipeline using PyTorch and CUDA for ultra-low latency execution

Education & Elite Academic Excellence

Master of Science in Financial Engineering
WorldQuant University • Top 10% GPA: 3.8/4.0
Graduated March 2026
Academic Excellence Focus: Portfolio Optimization, Risk Management, Algorithmic Trading, Quantitative Finance, and Systematic Alpha Generation with institutional-grade methodology. Recognition: Outstanding Research in Quantitative Finance (2022), Academic Excellence Award.
Bachelor of Science in Biomedical Engineering
University of Cameron
2013
Foundation Excellence: Mathematical Modeling, Statistical Analysis, Engineering Problem-Solving, and Systems Integration with focus on healthcare technology applications.

Professional Certifications & Industry Recognition

🚀 AI Solution Architect Certificate with Distinction
ELVTR | 2024-2025 | Top 5% of Cohort | Enterprise AI Systems & Strategy
🏆 Robert Pittman Fellowship in AI for Health Systems
Academic Medical Center | 2018 | Prestigious research fellowship for AI innovation in healthcare
☁️ Microsoft Certified: Data Scientist Associate
Microsoft | 2020 | Azure ML, Python, Data Science, Machine Learning
🔧 Oracle Cloud Infrastructure Architect Associate
Oracle | 2022 | Cloud Architecture, Enterprise Systems, Infrastructure
🤖 AI 2030 Global Fellow
International AI Governance Program | 2024 | Global AI policy and ethical implementation
💻 NPower Full Stack Developer Bootcamp
NPower | 2025 | 20-week intensive program (Python, React.js, Node.js, MongoDB, CI/CD)

Publications, Patents & Thought Leadership

📚 Peer-Reviewed Publications (7)

"Quantum Optimization in Portfolio Management" (2024) • "Responsible AI in Regulated Industries" (15K+ views) • "Deep Learning for Clinical Decision Support" (2022)

🔬 Patent Applications (8)

Medical AI Systems • Quantitative Finance Algorithms • Healthcare Predictive Analytics • Enterprise AI Automation

🎤 Speaking Engagements

AI Summit 2024 Keynote • QuantCon 2023 Featured Speaker • Healthcare AI Conference Panel Moderator • MIT Technology Review Contributor

🌐 Open Source Contributions

Hugging Face Hub (50K+ downloads) • LangChain Framework • QuantLib Enhancement • PyTorch Healthcare Utilities

ELVTR AI Engineer/Solution Architect
Deployed AI models and automated solutions for business challenges | 2024-2025
Multiverse Advanced Data Analytics Apprenticeship
Statistical analysis and data visualization | 2022-2023
Microsoft Certified: Data Scientist Associate
Advanced machine learning and statistical modeling | 2020
AI Solution Architect Certificate
Enterprise AI deployment and governance | 2024
Oracle Cloud Infrastructure Architect Associate
Cloud architecture and scalable system design | 2022

Publications & Recognition

AI 2030 Global Fellow - International AI governance and responsible AI leadership program
Robert Pittman Fellowship in AI for Health Systems (2018) - Innovation in healthcare technology
Published Research: "Responsible AI in Regulated Industries" | Medium | 15K+ views
Open Source Contributions: Hugging Face & LangChain ML Projects
Security Clearance: U.S. Citizen | Eligible for Public Trust Clearance