London, UK / Remote collaboration
// WORK WITH AKIF
LET’S BUILDTOGETHER.
Bring the problem, the ambition or the system that needs to work better. Together, we can turn it into an evaluated AI product and a dependable route to production.
GENERATIVE AI
AGENTIC SYSTEMS
GROUNDED RAG
APPLIED ML
PYTORCH
HUGGING FACE
FASTAPI
PYTHON
AWS
DOCKER
KUBERNETES
TERRAFORM
MLOPS
CI/CD
GITHUB ACTIONS
OBSERVABILITY
CLOUD DELIVERY
// CHOOSE A STARTING POINT
FIND YOUR FIT.
Clear starting scopes for a focused integration, an end-to-end product or the delivery platform behind it.
01 / FOCUSED DELIVERY 1–2 WEEKS
AI
AI Integration Sprint
For one clearly defined AI use case that needs to work inside an existing product or workflow.
PROJECT RANGE £3,500–£7,500 INDICATIVE FIXED-SCOPE INVESTMENT
One focused RAG, agent, vision or ML capability
Integration into an existing application or workflow
Baseline evaluation and technical decision record
Handover notes and a practical next-step plan
Start a conversation →
END-TO-END
02 / PRODUCTION BUILD 4–8 WEEKS
ML
Production AI Product
For a focused AI product that needs application engineering, evaluation and production delivery as one system.
PROJECT RANGE £14,500–£29,000 INDICATIVE FIXED-SCOPE INVESTMENT
Core product experience, API and AI workflow
Evaluation, guardrails and failure handling
Containerised cloud deployment and observability
Documentation, walkthrough and ownership handover
Discuss the build →
03 / DELIVERY SYSTEMS 2–4 WEEKS
CL
Cloud and MLOps Delivery
For an application or model that needs a secure, repeatable and observable route into production.
PROJECT RANGE £7,000–£14,500 INDICATIVE FIXED-SCOPE INVESTMENT
Containerisation and CI/CD release workflow
Cloud environment and infrastructure as code
Secrets, monitoring and operational visibility
Model or application release path and runbook
Start a conversation →
Indicative project investment. Final fixed quote follows discovery. Infrastructure, model/API and licence costs are separate.
UNDERSTAND → DESIGN → PROVE → SHIP → TRANSFER → UNDERSTAND →
// HOW IT WORKS
HOW WE WORK
// THE PROCESS
01 / 05 BEFORE WE START
Understand the outcome 01
Aligned on the outcome Define the users, desired result, constraints and evidence that will count as success before delivery begins.
OUTCOME CONSTRAINTS SUCCESS
UNDERSTAND
02 / 05 ARCHITECTURE
Architecture 02
Planned before code Map the data, application, AI components, cloud environment and the trade-offs that matter.
DATA SYSTEM TRADE-OFFS
DESIGN
03 / 05 DE-RISK
Prove the riskiest assumption 03
Evidence before scale Build the smallest meaningful vertical slice and test the assumptions carrying the most risk.
PROTOTYPE EVALUATE DECIDE
PROVE
04 / 05 DELIVERY
Build in reviewable stages 04
Production, not a demo Develop, integrate, evaluate and deploy the agreed system through visible milestones.
BUILD REVIEW DEPLOY
SHIP
05 / 05 HANDOVER
Transfer ownership 05
Built for you to own Document the system, walk through its operation and make ownership clear after delivery.
DOCUMENT WALKTHROUGH OWNERSHIP
TRANSFER
// GOOD TO KNOW
QUESTIONS,ANSWERED.
If your question is not covered, email me directly and include the decision you are trying to make.
Ask Akif directly ↗
01 How do we start?+ Book a short discovery call or use the contact form on my portfolio. I will review the outcome, current stage and main technical constraints before suggesting a direction.
02 Can you work with an existing application or cloud environment?+ Yes, subject to a short technical review. Existing architecture, repositories, deployment access and current risks are reviewed before scope is agreed.
03 Do you only build the AI component?+ No. I can work across the AI layer, application integration and cloud delivery where those parts need to operate as one system.
04 How are scope, cost and timeline decided?+ The packages are realistic starting points, not automatic quotations. After discovery, the proposal confirms deliverables, exclusions, milestones, final cost and timeline.
05 What happens to the code and deployment environment?+ Repository access, deployment ownership, documentation and handover terms are agreed before the engagement begins.
06 Where are you based?+ London, UK, with remote collaboration available.
// READY WHEN YOU ARE
TURN THE NEXT QUESTIONWORKING SYSTEM.