Skill Map

Create a custom AI assistant backed by your own data using RAG.

Master prompt design and build systems that reliably extract value from any LLM.

Ship a retrieval-augmented generation system that answers questions over documents.

Adapt an open-source model to a custom domain with LoRA or QLoRA.

Build a solid foundation in machine learning theory and practice.

Create agents that use tools, plan actions, and complete multi-step tasks.

Integrate AI tools into your marketing workflows for content, SEO, and campaigns.

Ship AI-powered features — from PRDs to evals to go-to-market.

Validate, build, and launch an AI-powered product.

Turn raw data into insights with SQL, BI tools, and Python.

Understand alignment, AI ethics, and how to build safer AI systems.

Create an app that detects, classifies, or generates images with modern CV models.

Use AI tools to accelerate UX research, prototyping, and image creation.

Use AI to write, design, and distribute content at scale without losing your voice.

Identify and mitigate AI-specific security risks — from prompt injection to adversarial attacks.

Build production APIs, auth systems, and scalable backend services.

Build fast, accessible, and modern web UIs with React and Next.js.

Ship end-to-end web applications — frontend, backend, auth, and deployment.

Build CI/CD pipelines, containerise workloads, and manage cloud infrastructure.

Design scalable, secure, and cost-optimised cloud infrastructure.

Build reliable ETL pipelines, data warehouses, and streaming architectures.

Operationalise ML models — deployment, monitoring, feature stores, and LLMOps.

Detect and respond to threats, manage SIEM, and defend organisational assets.

Conduct authorised security assessments — recon, exploitation, and reporting.

Build and deploy machine learning systems from raw data to production models.

Land a software engineering role — algorithms, data structures, and system design.

Go from ML basics to building and training neural nets at scale.