Hello, I'm

Khalil Adib

Senior AI Engineer.

Passionate AI Engineer based in London, specialising in Machine Learning, AWS cloud solutions, and cutting-edge AI technologies. I love exploring new technologies and understanding how things work under the hood.

AWS Certifications

Years Experience

30+

AI Projects

About

Who Am I?

My Journey

I've been fascinated by computers and technology since I was a kid. This passion grew with me, and I joined the faculty of engineering at the IUL, where I earned a BSc in computer and communication.

After finishing my bachelor's degree, I chose to pursue a career in artificial intelligence, so I enrolled in an MSc programme at City University of London to learn about cutting-edge technology and state-of-the-art techniques.

What makes me unique as an AI engineer is my curiosity to learn how things work under the hood, not just use an abstraction, and my hunger to achieve great things in my life and career.

Skills & Technologies

Languages

Python
JavaScript

ML & AI

PyTorch
Computer Vision
NLP
LLMs

Cloud & AWS

AWS
SageMaker
Lambda
Serverless

Infrastructure

Terraform
Docker

Education

MSc in Artificial Intelligence

City University of London

Computer Vision, NLP, Reinforcement Learning

BSc in Computer and Communication

IUL

Software & Hardware Engineering

Experience

Where I've Worked

My journey in AI and software development, from internships to senior engineering roles.

Senior AI Engineer

Firemind

Apr 2025 – Present

London, UK

Leading the development of Pulse, a scalable single tenancy product focused on real-time analytics and intelligent automation for enterprise use cases.
Building intelligent agents and custom workflows for clients using Python and JavaScript, enabling tailored automation and decision support systems.
Managing and scaling infrastructure on AWS, ensuring high availability, cost efficiency, and seamless deployment pipelines.
Fine-tuning large language models (LLMs) using Amazon SageMaker to align performance with domain-specific requirements.
Optimising inference performance using VLLM, TGI (Text Generation Inference), and NVIDIA NIM to reduce latency and improve throughput.
Mentoring junior engineers and contributing to team-wide best practices in LLMOps and production ML systems.

AI Engineer

Firemind

Jan 2024 – Apr 2025

London, UK

Led Proof of Concept (PoC) initiatives, successfully delivering projects within 3 months on average.
Spearheaded AI strategies for 30+ clients, developing custom LLM applications tailored to specific business needs.
Designed and deployed 5+ AI Agents, enhancing client efficiency by up to 30%.
Collaborated with a cross-functional team of 10+ data scientists.
Internal Award: Customer Obsession Award and People Choice Award
Notable Clients: Premier League, Premier Foods, Calm, Money Super Market, Lingoda, and others.

Junior AI Engineer

Firemind

Jan 2023 – Dec 2023

London, UK

Award: UKI Rising Star Partner of the Year 2023
Drove 8+ PoC projects to production, improving operational efficiencies for clients.
Managed the end-to-end lifecycle of 15+ machine learning models with 20% improvement in model performance.
Deployed ML models to production using AWS SageMaker, reducing deployment time by 30%.
Architected serverless infrastructure on AWS using Terraform and the Serverless Framework.

Full Stack Intern

Dynasoft Technology

2020 – 2021

Beirut, Lebanon

Built databases, queries and stored procedures using SQL SERVER.
Created APIs for backend using ASP.NET CORE with best practices.
Designed user interfaces for frontend using HTML, CSS, JavaScript and jQuery.

Certifications

Professional Certifications

Validated expertise across AWS cloud, AI/ML, and production Claude application architecture.

1: Professional
2: Foundational
3: Associate
1: Specialty

Professional

Claude Certified Architect

Foundations

Designing and building production-grade applications with Claude — agentic architecture, MCP, Claude Code, and structured outputs

Foundational

AWS Cloud Practitioner

CLF-C01

Cloud concepts, AWS services, security, architecture, pricing, and support

Foundational

AWS AI Practitioner

AIF-C01

AI/ML fundamentals, responsible AI practices, and AWS AI services

Associate

AWS Developer Associate

DVA-C02

Developing and maintaining applications on AWS platform

Associate

AWS Solutions Architect Associate

SAA-C03

Designing distributed systems on AWS with best practices

Associate

AWS Machine Learning Associate

MLA-C01

Machine learning fundamentals and AWS ML services implementation

Specialty

AWS Machine Learning Specialty

MLS-C01

Advanced ML engineering and data science on AWS platform

Media

Talks & Publications

Sharing knowledge through videos, podcasts, and technical publications.

Feature·AWS

Beyond the First Build: Khalil's Rapid Growth in AI

Amazon Web Services feature on my rapid growth and journey in AI engineering

Watch

Feature·AWS Academy

AWS Academy Emerging Talent Feature

Featured in AWS Academy as emerging talent in AI/ML field

Watch

Podcast·Firemind

Full Circle Podcast - Episode 4

Discussion on coding best practices and AWS fundamentals

Watch

YouTube

Zaker Webinar GenAI on AWS

Comprehensive webinar on Generative AI implementations on AWS platform

RL and LLMs with Khalil

Deep dive into Reinforcement Learning and Large Language Models

Building LLMs: From Pre-Training to Post-Training

Complete guide to LLM development lifecycle and training methodologies

Generative AI on AWS: Trends & Solutions

Latest trends and architectural patterns for GenAI on AWS

Real-Time Object Detection using YOLOv7

Implementation of YOLOv7 for autonomous vehicle applications

Publications

AWS ML Blog · AWS Blog

SambaSafety automates custom R workload with Amazon SageMaker

Co-authored AWS Machine Learning Blog post on production ML workflows

Firemind · Case Study

Calm leverages generative AI for personalised recommendations

Technical case study on implementing GenAI for recommendation systems

Firemind · Article

Object detection model using Amazon SageMaker and YOLOv5

Implementation guide for computer vision models on AWS

Contact

Let's Connect

Whether you're looking for an AI engineer, want to discuss a project, or just want to chat about technology, I'd love to hear from you.

Ready to Work Together?

I'm always open to discussing new opportunities, innovative projects, and collaborations in the AI/ML space. Whether you're a startup looking to implement AI solutions or an established company wanting to enhance your ML capabilities, let's talk!

Available for new opportunities

Khaliladib11@gmail.com

Khalil Adib

Location

London, UK