Description

I’m a Lead AI Engineer based in the UK, helping companies turn AI ideas into reliable, real-world products.

Over the last 9+ years, I’ve worked across software engineering and applied AI, with a strong focus on building AI systems that actually run in production. That means not just making models work, but making sure they are scalable, maintainable, secure, and useful for real users.

I’ve spent the last few years deeply involved in Generative AI and LLM-based systems, working end-to-end, from early prototypes to fully deployed solutions. I enjoy bridging the gap between research, engineering, and product, and I’m comfortable working with both technical teams and non-technical stakeholders.

What clients usually value most about working with me is that I’m pragmatic and clear. I ask the right questions early, explain trade-offs honestly, and focus on solutions that make sense for the business, not just what looks impressive on paper.

What I typically help with

Designing and building production-ready Generative AI solutions
LLM integrations, RAG systems, fine-tuning, and evaluation
Scalable inference pipelines and AI infrastructure
End-to-end AI systems: data → model → deployment → monitoring
Improving performance, reliability, and cost of existing AI systems

**How I work

I’m hands-on, collaborative, and outcome-focused. I take ownership of my work, communicate clearly, and aim to leave teams with systems they understand and can confidently maintain. I’m also happy to mentor engineers or support teams that are adopting AI for the first time.

I work remotely with clients across the UK and Europe and am open to freelance, contract, or advisory engagements.

If you’re looking for someone who can help you move from AI experimentation to something you can confidently ship, I’d be happy to talk.

Languages

English
Native or bilingual
Arabic
Basic
Urdu
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

TOPTAL
Senior / Lead Generative AI Engineer
September 2023 - Today (2 years and 11 months)
Glasgow, United Kingdom
Designed and productionized high-availability AI systems, converting research prototypes into scalable, enterprise-ready features.
Collaborated closely with research scientists, product managers, and engineers to prototype, validate, and ship AI-driven functionality across the application lifecycle.
Architected low-latency inference pipelines for large language models, optimizing throughput, reliability, and cost efficiency.
Built feedback loops, evaluation pipelines, and monitoring frameworks to support continuous improvement of AI quality and performance.
Fine-tuned and adapted LLMs on large domain-specific datasets (e.g., healthcare corpora), delivering context-aware, high-precision outputs.
Acted as a technical mentor, guiding engineers on system design, AI engineering best practices, and production readiness.
artificial intelligence LLM Python RAG flask
ANSWER TECS
Machine Learning Specialist
June 2020 - September 2023 (3 years and 3 months)
Brooklyn, United States
Designed and delivered data-intensive ML systems supporting real-time analytics and predictive decision-making.
Built and maintained end-to-end data pipelines for training, deploying, and monitoring machine learning models at scale.
Developed forecasting, classification, and optimization models and embedded them directly into customer-facing products.
Partnered with engineering and business stakeholders to ensure AI outputs were interpretable, actionable, and production-ready.
AI Automation Back-End development MLOps artificial intelligence Python
ANKI
Artificial Intelligence Engineer
May 2018 - June 2020 (2 years and 1 month)
Integrated NLP and transformer-based models into a large-scale learning platform.
Developed personalization and recommendation engines using BERT-based architectures.
Delivered AI features end-to-end, from experimentation through production release.
LLM AI Automation Back-End development artificial intelligence NLP