Kazakhstan software engineer, cybersecurity expert, and solution architect in artificial intelligence, big data, and cloud technologies.
Nawras Bukhari is a seasoned engineer with international experience in designing and implementing secure, scalable, and data-driven systems. A Certified Ethical Hacker (CEH), he has successfully led and contributed to numerous projects across corporate, research, and commercial domains.
Currently serving as the Deputy Director at the
Scientific Research Institute of Applied Sciences and Technologies, he oversees key areas related to AI integration, cybersecurity, high-load infrastructures, and real-time data systems. His role includes guiding the institute’s digital transformation and technological strategy.
Previously, Nawras held the position of Chief Technology Officer (CTO) at
Dubaipioneer (Bahrain) and led engineering teams at
Fakturis, managing over 40 developers and engineers. He also completed a technical internship at Amazon UAE, where he gained valuable experience in designing secure enterprise-grade cloud architectures.
Key Competencies:- Artificial Intelligence & Computer Vision: YOLOv8, EasyOCR, LayoutLMv3, OpenCV
- Cybersecurity & Infrastructure Protection: CEH, penetration testing, secure design
- Data Science & Big Data: analytics pipelines, Pandas, NumPy
- Backend Development: Laravel, FastAPI, Flask, GoLang, Rust
- DevOps & Automation: Docker, Traefik, GitHub Actions, Coolify
- Interface Development: Model-UI – an open-source UI for ML model deployment and visualization
- Desktop & Web3 Applications: PyQt6, Electron.js, Web3.js, MetaMask integration
Selected Projects & Achievements:- Modular vehicle valuation systems with mileage normalization and depreciation modeling
- Real-time anomaly detection platforms for data monitoring
- PDF/DOCX document processing microservices with scalable architecture
- Secure two-factor authentication (2FA) modules with role-based access
- Lightweight OCR image processing services with sub-second latency
- Developer of Model-UI, an interface framework for deploying AI models to production environments