Based in London, UK

Isam
Khan

AI/ML Engineer — building production-grade generative AI pipelines,
agentic workflows, and intelligent systems for the real world.

Get In Touch View Projects
7+
Projects Built
3+
Cloud Platforms
1st
AWS Hackathon 2026
BSc
CS & AI, Brunel
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About Me

Engineer.
Builder. Innovator.

I'm an AI/ML Engineer with a Computer Science and Artificial Intelligence degree from Brunel University London. Currently working at Firemind as a Junior AI Engineer, I translate complex business requirements into production AI systems.

My day-to-day involves building generative AI pipelines, fine-tuning language models, developing MCP servers, and creating agentic workflows that automate real-world processes — all delivered end-to-end for enterprise clients across Azure and AWS.

I thrive in fast-moving environments where ambiguity is the norm and technical ownership is expected. Actively pursuing AWS, Azure, Google Cloud, and Anthropic certifications to sharpen my expertise further.

Generative AI LLM Fine-tuning Agentic Systems Cloud Architecture End-to-End Delivery Client-Facing
IK
Isam Khan
AI/ML Engineer

Skills & Technologies

What I Work With

🐍
Python
Primary LanguageML/AI
Expert · 90%
🤖
Generative AI & LLMs
Fine-tuningPromptingRAG
Advanced · 85%
☁️
AWS & Azure
Cloud InfraDeployment
Advanced · 80%
⚙️
Agentic AI Workflows
MCP ServersAutomation
Advanced · 82%
🐳
Docker & DevOps
ContainersCI/CD
Proficient · 75%
🗄️
SQL & Databases
Data ManagementQuerying
Proficient · 78%
🧠
Machine Learning
SupervisedUnsupervised
Advanced · 83%
🌐
Full-Stack Development
ReactNode.jsJavaScript
Proficient · 70%

Work History

Experience

Aug 2025 – Present Firemind LTD · London, UK
Junior AI Engineer
  • Designed and built end-to-end generative AI pipelines using large language models, including fine-tuning small language models for specific internal use cases
  • Developed MCP servers integrated with Azure CLI, enabling natural language control of Azure resources such as resource groups and storage accounts
  • Built MCP servers for robotic process automation (RPA), allowing plain-text instructions to be executed as tasks on Windows and Linux VMs, and in the browser
  • Created an agentic workflow that generates formatted report documents from user input and example Excel files, compatible with Google Display & Video 360
  • Developed a synthetic data generation pipeline that produces training datasets from example files and user input, removing the need to use sensitive customer data
  • Managed the full ML lifecycle across projects including training, evaluation, testing, and iterative fine-tuning
PythonAzureAWS LLMsMCP ServersDockerRPA
Aug 2023 – Aug 2025 Morrisons · London, UK
Customer Assistant
  • Maintained high accuracy and efficiency while managing order picking and packing under time pressure
  • Supported shop floor operations including restocking and customer-facing service
Customer ServiceTeamworkTime Management
Jun 2021 – Aug 2021 Medi2data · London, UK
Sales Assistant
  • Produced electronic medical reports using the company's automated platform eMR
  • Conducted outbound calls to GP surgeries to introduce and demonstrate the platform
  • Guided new users through installation and onboarding, strengthening technical communication skills
eMR PlatformTechnical CommunicationOnboarding

Portfolio

Projects

🏆 Hackathon

AWS Hackathon 2026
🧠
Breaking Barriers — Race Against Dementia
Built a full-stack web application using AWS services to enable AI-powered analysis, peer review, and uploading of research papers for the Race Against Dementia charity. Reduced the time and cost barriers of traditional peer review — allowing doctors and researchers to receive instant AI-assisted feedback and publish papers publicly at no cost, making the latest dementia research available immediately instead of waiting 6–12 months and spending up to £5,000.
AWSFull-Stack AI AnalysisS3Lambda

🎓 Final Year Project

💪
AI-Powered Fitness Recommendation System
Built a fitness recommendation system using machine learning for personalised workouts, trained from scratch with data on different workout types. Created a full-stack application hosting separate models for muscle gain, fat loss, and strength training. During user testing it achieved 100% success — users consistently preferred the custom AI-generated workout plans over generic ones.
PythonMachine Learning Full-StackReact.jsClassification

🏢 Firemind — Professional Projects

☁️
🔒
Azure CLI MCP Server
Developed an MCP (Model Context Protocol) server integrated with the Azure CLI, enabling natural language control of Azure cloud resources — including resource groups and storage accounts — without writing any CLI commands manually.
AzureMCP Server PythonNatural Language
🤖
🔒
RPA MCP Server
Built MCP servers for robotic process automation (RPA), allowing plain-text instructions to be executed as automated tasks across Windows VMs, Linux VMs, and in the browser — removing the need for scripted automation workflows.
RPAMCP Server Windows/LinuxBrowser Automation
📄
🔒
Agentic Report Generation Workflow
Created an agentic AI workflow that automatically generates formatted report documents from user input and example Excel files, producing outputs fully compatible with Google Display & Video 360 — eliminating hours of manual report preparation.
Agentic AIPython ExcelGoogle DV360
🧬
🔒
Synthetic Data Generation Pipeline
Developed a pipeline that generates realistic synthetic training datasets from example files and user input, completely removing the need to use sensitive customer data for ML model training — improving compliance and data safety across projects.
PythonLLMs Data PipelineML Training
⚡
🔒
Generative AI Pipelines & LLM Fine-tuning
Designed and built end-to-end generative AI pipelines using large language models for enterprise clients. Included fine-tuning small language models for specific internal use cases, and managing the full ML lifecycle: training, evaluation, testing, and iterative improvement.
LLM Fine-tuningAzure AWSPythonDocker

Academic Background

Education

Sep 2021 – Jul 2024
BSc Honours Computer Science & Artificial Intelligence
Brunel University London
Developed a strong foundation in machine learning algorithms (supervised, unsupervised, KNN, K-means, hierarchical clustering), software engineering, and AI principles. Final year project: AI-powered fitness recommendation system with 100% user testing success rate.
Final Year Project: AI Fitness Recommendation System
Completed May 2026
Google AI Essentials
Google
Covered foundational AI concepts, prompt engineering, responsible AI practices, and productivity workflows using Google AI tools.
Certified ✓
In Training · 2025 – Present
Cloud & AI Certifications
AWS · Azure · Google Cloud · Anthropic
Actively pursuing AWS Certified, Microsoft Azure Certified, Google Cloud Certified, and Anthropic Claude Certified Architect – Foundations certifications.
In Progress
Sep 2014 – May 2021
GCSEs & A Levels
Park High School & Sixth Form · Harrow, UK
Completed secondary education and sixth form, building a foundation in mathematics and sciences leading into a Computer Science and AI degree.

Let's Connect

Get In Touch

Whether you have a role, project, or idea — I'm always open to interesting conversations about AI engineering and building intelligent systems.

isamkhan1809@gmail.com LinkedIn GitHub