Shukran Yavuz

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Shukran Yavuz

Board Member | Co-Founder | Ai Engineer

Professional Skills

Board Member

Experience & Activities

Shukran Yavuz is an accomplished AI/ML Engineer Leader and Data Scientist with over 19 years of IT experience, including 15+ years in Artificial Intelligence and Machine Learning across healthcare, finance, and education sectors.

She specializes in Generative AI, LLM fine-tuning, Explainable AI, and full-scale MLOps deployments using OpenAI, Hugging Face, AWS, and Azure ML.

Shukran has led high-impact AI initiatives for organizations such as Florida Blue, Bayer Crop Science, and TransUnion, delivering multi-million-dollar business value through intelligent automation, digital transformation, and behavioral analytics.

Her research collaborations with MIT and Harvard focus on behavioral AI, emotion analytics, and cognitive signal processing, shaping next-generation AI-driven healthcare and wellness systems.

🌍 Based in Jacksonville, Florida, she continues to drive innovation at the intersection of AI, data science, and human-centered technology.

Shukran Yavuz | AI/ML Engineer Leader | Data Scientist

Jacksonville, FL | yavuz.shukran@gmail.com

SUMMARY

Innovative AI Engineer with 19+ years of IT experience, 15+ in AI/ML systems across healthcare, finance, and education. Expert in Generative AI, LLM fine-tuning, and Explainable AI. Specialized in deploying end-to-end solutions using OpenAI, Hugging Face, AWS, Azure ML.

CORE SKILLS

  • Generative AI: LLMs, Prompt Engineering, RAG Pipelines
  • ML Techniques: NLP, Deep Learning, Time Series, Clustering
  • Tech Stack: Python, SQL, TensorFlow, Hugging Face, Power BI
  • Cloud Platforms: AWS SageMaker, Azure ML, GCP, Databricks
  • MLOps: CI/CD, Docker, MLflow, Model Monitoring

PROFESSIONAL EXPERIENCE

  1. AI Companion Platform (Software4.net, 2025 – ongoing)

Mind-map-based mental wellness platform using GPT-4, biometric data, digital twin avatars, and CBT logic.

  • Built escalation engine using sentiment/biometric scoring.
  • Designed avatar-based UX and therapist dashboards.
  • Integrated OpenAI, spaCy, BERT for mood logic.
  • Strategic Impact: $10M+ projected SaaS revenue in 3 years; $20K–$100K/client/year licensing potential.
  • Key Tools: GPT-4, TensorFlow, Firebase, AWS HealthLake
  1. Intelligent School Ops Platform (Software4.net, 2024-2025)

AI-enhanced ERP for school lifecycle management and reporting.

  • Developed smart attendance, performance, fee analysis modules.
  • Led Agile delivery for reporting engine, ID design tools.
  • Managed database & cloud infrastructure for 500+ schools.
  • Strategic Impact: $2M–$7.5M annual revenue potential; >500 school scalability; $20M+ long-term product valuation.
  • Key Tools: Laravel, MySQL, Python, AWS S3
  1. BI & Compliance Platform (Bayer Crop Science, 2023-2024)

AI-augmented dashboards for litigation and safety insights.

  • Built 10+ Power BI dashboards for risk/legal metrics.
  • Automated ETL using Azure Data Factory.
  • Embedded AI for case classification and alerting.
  • Strategic Impact: $500K–$1.2M estimated ROI via risk reduction, faster reporting, labor savings.
  • Tools: Power BI, Azure Data Factory, SQL Server
  1. AI Projects at Florida Blue (2017–2025)

Developed customer-facing AI systems for sentiment detection, churn prediction, and behavior-based segmentation:

  • Created chatbot with emotional awareness and history tracking.
  • Trained sentiment engine using BERT, RoBERTa.
  • Deployed XGBoost for churn, clustering for UX personalization.
  • Voice & Chatbot System: Boosted CSAT by 15%, saved up to $100K/year.
  • Emotion Detection Engine: Reduced resolution time and escalations.
  • Churn Prediction Model: Protected $750K–$1.5M in annual revenue.
  • Behavioral Clustering: $300K+ marketing ROI uplift; tool valuation ~$500K+.
  • Live CX Dashboard: ~$250K/year in operational gain.
  • Total Strategic Impact: ~$2M/year in measurable business value.
  1. Crime Prediction Platform (Jacksonville Sheriff Office, 2017)

ML-based recidivism prediction and secure ETL for law enforcement.

  • Developed ML models for behavioral forecasting.
  • Built secure Azure ETL pipelines with message queuing.
  • Integrated predictive analytics into officer workflows.
  • Strategic Impact: $1M+/year internal ops savings; $5M+ public safety ROI.
  • Tech: Azure, FastAPI, C#, SQL
  1. Credit Risk Models (TransUnion/L2C, 2010–2013)

Automated credit and fraud detection models.

  • Created loan approval ML models with scikit-learn.
  • Automated real-time pipelines for Bank of America, Mercedes.
  • Built fraud detection classifiers and Tableau reporting.
  • Strategic Impact: 30% increase in loan approval accuracy; $3M+ client contract value.
  • Tools: Spark, Tableau, Python
  1. Backup AI Scheduling System (IGDAS, 2007)

AI system for smart gas backup and demand forecasting.

  • Built predictive models for pipeline backup activation.
  • Integrated LSTM time series for hourly gas demand.
  • Streamlined operator dashboard via SCADA-GIS interface.
  • Strategic Impact: 40% downtime reduction, 15% cost savings; system valued at $500K–$700K.
  • Tools: LSTM, Python, Streamlit, Kafka, SCADA integration
  1. Traffic AI Forecasting (ISBAK/Istanbul Municipality, 2005)

Real-time travel time prediction for Istanbul using LSTM & GIS.

  • Developed deep learning traffic estimators from GPS data.
  • Integrated weather, event feeds, and visual analytics.
  • Supported municipal rollout with live pilot systems.
  • Strategic Impact: $5M+/year in fuel/time savings; recognized with government award.
  • Award: MIT scholarship & national recognition
  1. SQL Server & ETL Systems (Florida State University, 2008–2009)

Managed clustered SQL Server for national surveys.

  • Built and optimized SQL Server clusters and ETL pipelines.
  • Migrated data to support high-volume national grants.
  • Used Informatica and automation for 35% faster processing.
  • Strategic Impact: $100K–$150K project; 80% uptime gain; supported multi-million dollar grant initiatives.
  • Scope: Multi-database grant research infrastructure

EDUCATION

  • MIT – Human Behavioral Science (CX focus)
  • Harvard – Data Science Certificate
  • Johns Hopkins – Healthcare Data Security
  • Istanbul Univ. – MS, Computer Engineering
  • Halic Univ. – BS, Computer Engineering

HIGHLIGHTS & IMPACT SUMMARY

  • AI SaaS Systems: Designed platforms valued over $30M across education, wellness, legal.
  • CX Optimization: Delivered AI tools with 15–25% boosts in retention, satisfaction.
  • Research-Driven Innovation: Merged MIT behavioral science with enterprise AI systems.
  • Global Readiness: Solutions HIPAA/GDPR-compliant, multi-cloud, multilingual scalable.