AI-focused Information Engineering graduate and independent AI consultant.
I build practical AI systems across NLP, recommendation engines, and voice agents, with strong attention to real-world usability and business value.
Based in Syria. Open to relocation and Skilled Worker sponsorship.
- End-to-end NLP applications with user-facing interfaces
- AI automation workflows and voice agents with tool integrations
- Recommender systems that combine collaborative and content-based methods
- ML utilities focused on reproducibility and evaluation integrity
- Arabic-first products with RTL-friendly UX
Scikit-learn compatible package for deterministic, ID-based train/test splitting to prevent data leakage across dataset versions.
Highlights:
- Published as a reusable Python package
- Works with GridSearchCV and ML pipelines
- Custom hash function support for flexible split behavior
Tech: Python, scikit-learn API patterns, CRC32/custom hashing
Production-style voice assistant for appointment scheduling with explicit confirmation flow and real-time Google Calendar availability checks.
Highlights:
- Real-time call flow with tool-calling
- Conflict detection before booking
- Deployed on Vercel and VAPI cloud
Tech: HTML, JavaScript, VAPI, GPT-4o, Google Calendar API
Arabic-first electronic transaction and workflow platform with complete RTL support, role-based access, and digital signatures.
Highlights:
- Multi-role workflow automation
- Real-time notifications
- Responsive UI for desktop and mobile
Tech: React, Vite, Material UI, React Router, Socket.io
Contract summarization app for legal text analysis with dynamic summary controls and analysis history.
Highlights:
- Transformer-based summarization
- GPU acceleration when available
- SQLite-backed history with content hashing
Tech: Python, Streamlit, Transformers, PyTorch, SQLite
Work-in-progress educational NLP tool that converts lecture audio into structured notes and exportable summaries.
Highlights:
- Speech-to-text pipeline
- Grammar correction and note structuring
- PDF generation for study material
Tech: Python, Streamlit, Whisper, spaCy, BART, LanguageTool, ReportLab
Recommendation service for food platforms combining user behavior and dish metadata with business-rule-aware filtering.
Highlights:
- Hybrid collaborative + content-based approach
- Scheduled retraining for fresh recommendations
- API-driven architecture
Tech: Python, Flask, scikit-learn, Pandas, SQLAlchemy, APScheduler
NLP app that estimates resume-job fit and gives direct feedback for improvement.
Highlights:
- Semantic similarity scoring
- Supports PDF and plain text input
- Clear score-based guidance in UI
Tech: Python, Streamlit, spaCy, PyPDF2
Early-stage modular pipeline scaffold for Arabic NLP workflows, organized around data loading, preprocessing, training, and testing.
Highlights:
- Modular structure for future model experimentation
- Centralized configuration for data, model, and logs
- Foundation for Arabic text processing iterations
Tech: Python, modular pipeline architecture, pytest-oriented test layout
Structured learning repository documenting business analysis methodologies and AI-enabled BA practices from the IBM Business Analyst Professional Certificate.
Highlights:
- BA lifecycle and requirements engineering coverage
- Frameworks such as SWOT, PESTLE, and MoSCoW
- Strong business context for technical solution design
Languages: Python, JavaScript (ES6+), PHP, SQL, HTML, CSS
AI and ML: PyTorch, TensorFlow, scikit-learn, NLP pipelines, recommender systems, voice AI workflows
Frameworks and Tools: Streamlit, Flask, React, Material UI, Hugging Face, GitHub Actions, Docker, n8n, ComfyUI, Weavy.AI
Engineering Focus: Applied AI, Applied NLP, model-to-product delivery, reproducibility, MLOps fundamentals
AI and Generative AI (IBM)
- Generative AI for Data Analysts (Specialization)
- Generative AI Fundamentals
- Generative AI: Introduction and Applications
- Prompt Engineering Basics
- Business Transformation and Career Growth
- Foundation Models and Platforms
- Enhance Your Data Analytics Career
- Impact, Considerations and Ethics
Software Engineering and Analysis
- Programming for Everybody (Python), University of Michigan, Grade: 100%
- Building Web Applications in PHP, University of Michigan, Grade: 98%
- Fundamentals of Business Analysis, Starweaver
Portfolio: https://baraa-hazzaa.base44.app
Email: baraa-hazzaa00@outlook.com
LinkedIn: baraa-hazzaa-560b0b35a
GitHub: BaraaHazzaa
Build AI systems that benefit people and solve real-world problems.