Softwarebuilt infull frame.

FullFrameDev designs, builds and runs AI agents, data pipelines, smart contracts and the cloud they live on. One team from the first conversation to the launch, and after it.

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Schematic of a typical build: users reach a web app and API, which talks to an AI agent with retrieval, a data pipeline feeding a warehouse and dashboard, and a smart contract on a public chain, all running on cloud infrastructure with CI/CD.Cloud · Kubernetes · CI/CDUsersWeb appAPIAI agentRetrievalPipelineWarehouseDashboardSmart contractPublic chain

A typical build: app, agent, data, chain, and the cloud around them.

Since
2023
Security
ISO 27001
Fields
AI · Data · Web3 · Cloud
Reach
Remote, worldwide

Selected work

Results first. Then how we got there.

  1. Seed

    round raised

    AI financial advisory platform

    Co-founded and built the MVP of an AI-driven budgeting app for Gen Z users, with an LLM engine for personal financial insights. The product validation secured the first funding round.

    LLM, React, AWS, Startup

  2. 40%

    faster model deploys

    MLOps pipelines for large language models

    Designed and ran the MLOps platform on AWS EKS for a B2B SaaS company, cut deployment time by 40% and lifted customer prediction accuracy by 90% with fine-tuned GPT-4 models.

    Kubernetes, AWS, GPT-4, MLflow

  3. 1M+

    records a day

    ETL pipeline and data warehouse

    Built pipelines feeding more than a million daily records into a PostgreSQL warehouse, with anomaly detection on data quality and KPI dashboards in PowerBI and Python.

    PostgreSQL, Python, PowerBI, ETL

  4. 20%

    lower cloud cost

    Cloud-native microservices

    Moved a monolith to AWS Lambda and DynamoDB services, with Docker, Terraform and GitHub Actions carrying every deploy. Infrastructure cost fell by a fifth.

    Lambda, DynamoDB, Terraform, CI/CD

  5. 3+

    upstream PRs merged

    Open-source Kubernetes MLOps

    Contributed orchestration improvements to community MLOps tooling built on Kubernetes, MLflow and Docker, working with maintainers across time zones.

    Open source, Kubernetes, Docker

  6. 1.3

    thesis grade

    Scalable LLM deployment, researched

    Bachelor's thesis on MLOps for deploying large language models in cloud environments, the groundwork for how we run model infrastructure today.

    Research, LLM, Cloud

  7. ISO

    27001 certified

    Multi-cloud security programme

    Introduced OWASP practice across AWS, GCP and Azure and took the organisation through ISO 27001 certification without slowing delivery.

    OWASP, AWS, GCP, Azure


Services

Six things we do well, and nothing we don't.

  1. AI agents and fine-tuning

    Models trained on your domain that answer, act and hand over like a member of your team.

    LLM agents, fine-tuning, evaluation, retrieval

  2. Web3 and blockchain

    Smart contracts, dApps, wallets and token logic, audited and shipped to mainnet.

    Solidity, dApps, wallets, NFT logic

  3. Data engineering and analytics

    Pipelines that turn raw records into dashboards people read every morning.

    ETL, warehouses, dashboards, anomaly detection

  4. Servers and automation

    MCP servers, CI/CD and bot orchestration that keep running when nobody is watching.

    MCP, CI/CD, Kubernetes, Terraform

  5. Architecture and consulting

    System designs you can still extend in five years, written down so your team can own them.

    system design, reviews, migrations, scaling

  6. Security and compliance

    ISO 27001 practice, OWASP standards and DevSecOps built into the delivery, not bolted on.

    ISO 27001, OWASP, DevSecOps, multi-cloud


Process

Four steps. The last one doesn't end.

  1. 1

    Discover

    We start with your goals, your constraints and the systems you already run, and write a scope you can hold us to.

  2. 2

    Design

    Architecture and interface together: what runs where, what it costs, and what a user sees on day one.

  3. 3

    Build

    Short cycles, working software at the end of each one, tests and reviews on every change.

  4. 4

    Run

    We set up the pipelines and infrastructure, launch with you, and stay on for monitoring and the next release.


Contact

Tell us what you want to build.

  • A reply within one business day.
  • A written scope and an itemised quote. No hidden fees.
  • The same engineers from the first call to the launch.

Prefer to talk? Book a , write to hi@fullframe.dev, or find us on Fiverr.