David Farouk
@davidfarouk
LLM engineer and AI specialist delivering production-grade RAG, MLOps, and inference optimization.
What I'm looking for
I am an AI engineer and Industrial PhD candidate focused on building production-grade LLM systems, RAG pipelines, and privacy-preserving architectures that drive measurable business outcomes.
I have designed privacy-aware local LLM platforms with strong adoption in pilot deployments, productionized research prototypes, and established MLOps practices including experiment tracking, model versioning, deployment automation, and monitoring.
My technical work spans inference optimization, quantization, LoRA/PEFT, vLLM serving, multi-agent orchestration, and secure integrations (including post-quantum cryptography), and I prioritize reproducibility, scalability, and compliance in all deployments.
Experience
Work history, roles, and key accomplishments
LLM Engineer & AI Specialist
WHI Institute
Oct 2024 - Present (1 year)
Designed a privacy-aware wellbeing platform using local LLMs that drove 500% adoption growth across pilot schools and built production RAG pipelines with vector databases for personalized interventions.
R&D Engineer
Polytechnic University of Catalonia
Oct 2022 - Oct 2024 (2 years)
Developed high-performance Python/C++ algorithms improving processing throughput by 40% and integrated biometric authentication with post-quantum cryptography while productionizing research prototypes.
Machine Learning Engineer
Zummitlabs
Jul 2021 - Dec 2021 (5 months)
Fine-tuned computer vision models using PyTorch/TensorFlow to boost accuracy by 15% and implemented end-to-end ML pipelines with containerized deployments.
Backend Engineer
Mimonote
Jun 2018 - Jan 2019 (7 months)
Built scalable backend APIs in C# with SQL support integrated into a React frontend, supporting thousands of users.
Education
Degrees, certifications, and relevant coursework
Rovira i Virgili University
Master of Science, Computer Security Engineering & AI
2020 - 2022
Completed a Master of Science in Computer Security Engineering & AI with focus on security and applied artificial intelligence for production systems.
University of Greenwich
Bachelor of Science, Computer Science
2015 - 2020
Earned a Bachelor of Science in Computer Science covering software engineering, algorithms, and machine learning fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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