AI & ML Engineering
End-to-end development of scalable, production-grade AI systems.
- Production-ready ML & MLOps pipelines
- Model fine-tuning & deployment
- AI Safety & Security
- Rapid prototyping & PoCs
AI solutions, built with care for safety, security, and impact. I help organizations navigate AI, from first prototype to safe deployment.
My services cover AI research, engineering, and strategy-delivering secure, scalable systems from concept to production.
End-to-end development of scalable, production-grade AI systems.
Actionable strategy, governance, and compliance to unlock AI value safely.
Bridge frontier research and real-world impact with rigorous engineering.
I work on building AI systems, from writing models to applying research in practical ways. I focus on system design, performance, and checking what’s technically feasible.
Security in AI isn't optional—it's fundamental. I help organizations implement comprehensive security protocols and safety assessments, ensuring their AI systems are both powerful and secure.
I guide organizations through their AI journey, from research to production, helping them leverage the latest advances while maintaining robust, scalable systems.
Get precisely what you need—executive advice, concise reports, staff training, or hands-on prototypes and implementation. Engagements are tailored to your goals and delivered in the format that adds the most value.
Red/blue teaming, threat modelling, and safety-by-design aligned with the EU AI Act, NIST AI RMF, and ISO/IEC standards-protecting your models from concept to production.
Executive briefings, opportunity scans, and roadmap creation to identify high-impact AI use cases—delivered as concise reports or on-site presentations.
Streamline development and operations with best-practice pipelines, infra design, and team processes-covering CI/CD, feature stores, monitoring, and scalable deployment.
End-to-end analyses that culminate in a single, actionable report complete with notebooks, dashboards, and reproducible artifacts.
Implement comprehensive security protocols, threat-modeling, and safety layers to fortify your AI systems.
Train, fine-tune, and deploy models with robust pipelines-covering CI/CD, monitoring, and rollback strategies for production.
Pre-training, fine-tuning, and post-training of foundation models optimized for your domain and latency budget.
Build agentic workflows and API-based apps on OpenAI or local models-delivering real-time, AI-powered functionality.
AI research and engineering for peer-reviewed publications.
Replicate and verify results across NLP, CV, GNNs, LLMs, and diffusion models.
Turn research into code: build working demos with LLMs, multimodal transformers, and diffusion models, complete with write ups and documentation.
Develop a modular evaluation framework that streamlines dataset loading, metric computation, and result visualization for reproducible benchmarks.
Explore novel architectures (efficient LLMs, custom GNNs, advanced vision backbones) and draft full papers—from methodology to results—ready for peer review.