Hello, I'm

Khalil Adib

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.

Khalil Adib - Senior AI Engineer
6+AWS Certifications
3+Years Experience
30+AI Projects

About

Who Am I?

Khalil Adib

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

PythonPyTorchAWSSageMakerLambdaTerraformJavaScriptComputer VisionNLPLLMsServerlessDocker

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.

Certifications

AWS Certified

Validated expertise across AWS cloud services, AI/ML, and solution architecture.

2

Foundational

3

Associate

1

Specialty

AWS
Foundational

AWS Cloud Practitioner

CLF-C01

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

AWS
Foundational

AWS AI Practitioner

AIF-C01

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

AWS
Associate

AWS Developer Associate

DVA-C02

Developing and maintaining applications on AWS platform

AWS
Associate

AWS Solutions Architect Associate

SAA-C03

Designing distributed systems on AWS with best practices

AWS
Associate

AWS Machine Learning Associate

MLA-C01

Machine learning fundamentals and AWS ML services implementation

AWS
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.

FeatureAWS

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

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

Watch
FeatureAWS Academy

AWS Academy Emerging Talent Feature

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

Watch
PodcastFiremind

Full Circle Podcast - Episode 4

Discussion on coding best practices and AWS fundamentals

Watch

YouTube Content

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.

Email

Khaliladib11@gmail.com

LinkedIn

Khalil Adib

Location

London, UK

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