Architecting
Digital Systems

Crafting high-performance scalable systems and intuitive user interfaces with architectural precision and code-level expertise.

About Daniel Blanco

Daniel Blanco is a full-stack software engineer specialising in scalable web systems, AI-enabled backends, and cloud-native infrastructure. He builds production-grade platforms using PHP and Laravel on the backend, Python and FastAPI for AI services, React and Next.js on the frontend, and AWS with Docker for deployment. He integrates large language models — including Anthropic Claude and the OpenAI API — into developer workflows using LangChain, pgvector, and Retrieval-Augmented Generation. His project work includes EvalKit, a self-hosted multi-model AI evaluation framework with hallucination detection and regression alerts, a RAG-powered code search tool that saves senior engineers approximately five hours per week, a gamified narrative running app with an LLM biometric pipeline, and an ML-backed betting analytics dashboard. Daniel is open to full-stack and AI-focused engineering roles. Contact: hello@danblanco.dev

Explore Works arrow_right_alt

The Toolchain

Production-focused engineering stack across backend, frontend, integrations, cloud infrastructure, and machine learning workflows.

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Programming Languages

PHP, JavaScript (ES6+), Python, HTML5, CSS3, SQL

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Frameworks & Libraries

Laravel, React.js, WordPress, jQuery, Bootstrap, Tailwind CSS, FastAPI

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AI & Machine Learning

LangChain, OpenAI API, Anthropic Claude API, Ollama, Voyage AI, LLM Integration, RAG, NLP, Prompt Engineering, Vector Embeddings

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CMS & Platform Integration

WordPress, CiviCRM, Moodle LMS, Custom Plugin Development

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Databases

MySQL, PostgreSQL, Redis, MongoDB, Vector Databases (pgvector)

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Testing & QA

PHPUnit, Jest, Cypress, Test-Driven Development (TDD), Code Review, QA Testing

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Build & Package Tools

Webpack, Vite, Composer, NPM, Yarn

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Cloud & DevOps

AWS (EC2, S3, RDS, Lambda, CloudWatch), Docker, Docker Compose, CI/CD, Jenkins

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Monitoring & Error Tracking

Sentry, AWS CloudWatch, Performance Optimization, Application Monitoring

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Server & Hosting

Apache, Nginx, Linux (Ubuntu, CentOS), Windows Server, High-Traffic Optimization

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Tools & Version Control

Git, GitHub, GitLab, Bitbucket, Jira, Confluence, Tree-sitter

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CSS Preprocessors

Sass, Less, PostCSS

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APIs & Integration

RESTful APIs, GraphQL, OAuth, JWT, Third-party API Integration, Webhooks

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Data Science & Analytics

Python, Pandas, NumPy, Machine Learning, Data Analysis, Statistical Modeling

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Methodologies

Agile, Scrum, Test-Driven Development (TDD), Code Review, QA Testing

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Specialized

Blockchain Development, Payment Gateway Integration, PCI DSS Compliance, Performance Optimization, AI Automation, AST Parsing

Case Studies

High-impact engineering projects delivered with meticulous attention to detail.

01 / AI EVALUATION FRAMEWORK

EvalKit

Self-hosted evaluation framework for running prompt test suites against Claude, GPT-4o, and Gemini simultaneously. Four scoring methods — exact match, semantic similarity via Voyage AI, Claude-as-judge, and rubric-based scoring — surface quality regressions before they reach production. Hallucination detection flags and explains each occurrence per result. Cost and latency are recorded per model and per run, with regression alerts firing automatically on score drops of 10% or more versus any saved baseline.

Tech Stack: Python, FastAPI, React 18, PostgreSQL + pgvector, Voyage AI, Anthropic Claude, OpenAI, Gemini
Impact: Multi-model evaluation in a single run; SSE streaming delivers live results without polling; regression alerts prevent silent quality drops

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EvalKit dashboard — multi-model AI evaluation showing prompt test results across Claude, GPT-4o, and Gemini with cost, latency, and regression tracking
FASTAPI + PGVECTOR CLAUDE + VOYAGE AI
02 / GAMIFIED NARRATIVE RUNNING APP

Runnory

A real-time biometric narrative engine built into a cross-platform running app. A 5-node LangGraph pipeline processes heart rate data every 7 seconds, translating BPM and pace into live story events across three fantasy worlds. A three-float world state vector tracks tension, discovery, and energy — driving narrator responses, XP rewards, and artifact unlocks dynamically per run.

Tech Stack: React Native, Expo, LangGraph, BLE, GPS, Node.js, AI Narrative Engine
Impact: Pre-launch waitlist, iOS & Android, Strava sync integration

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Runnory app — world selection screen showing Shadow Realm, The Wandering Wilds, The Last Signal, Blood and Olympus, and Neon Fugitive narrative worlds
REACT NATIVE + LANGRAPH BLE + GPS
FASTAPI + PGVECTOR CLAUDE + VOYAGE AI
03 / RAG DEVELOPER TOOLING

Codebase Intelligence Engine

RAG-powered developer assistant that indexes entire GitHub repositories using Tree-sitter AST-aware chunking — splitting code at function and class boundaries rather than arbitrary token windows. Developers ask natural language questions and receive cited answers with exact file paths and line numbers, backed by Voyage AI voyage-code-3 embeddings and Claude Sonnet for synthesis.

Tech Stack: Python, FastAPI, pgvector, Voyage AI, Anthropic Claude, Tree-sitter, React, Docker Compose
Impact: Reclaims ~5 hours/week per senior engineer; reduces new hire time-to-first-commit by eliminating "where is X" questions

04 / AI-ASSISTED JOB OPS PLATFORM

JobFlow Dashboard

Full-stack application tracking platform combining a Next.js dashboard with a FastAPI backend and worker orchestration. Includes AI-assisted cover letter and application review workflows, with compliant-first automation controls and VPS-ready deployment.

JobFlow Dashboard interface for job tracking and AI review
NEXT.JS + FASTAPI OLLAMA + DOCKER
SensoryBet trends dashboard with cumulative profit and rolling hit rate
LARAVEL + BLADE ML PREDICTIONS
05 / BETTING INTELLIGENCE PLATFORM

SensoryBet Analytics

Machine-learning betting prediction dashboard built around trends and bankroll decision support. It tracks cumulative profit, rolling 30-day hit rate and ROI, and performance by provider and market to make each bet decision more data-driven.

Download CV

Get the latest full resume with detailed project history, architecture achievements, and technology leadership experience.

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Professional Resume

Daniel Blanco CV

Includes technical stack, project highlights, and delivery impact across full-stack, AI-enabled, and cloud-native systems.

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Talk With
My AI Assistant.

Ask about project fit, architecture decisions, and delivery style. The assistant can also qualify opportunities and share a concise summary with me.

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Direct Email

hello@danblanco.dev

What the assistant can do

  • check_circleRecommend the most relevant case study based on your business goals.
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Frequently Asked Questions

Who is Daniel Blanco?
Daniel Blanco is a full-stack software engineer with expertise in PHP, Python, React, AWS, and AI integration, available for hire. He builds scalable web systems and integrates large language models into production workflows.
What technologies does Daniel Blanco work with?
Daniel Blanco works with Laravel, FastAPI, React.js, Next.js, AWS (EC2, S3, RDS, Lambda), Docker, LangChain, Anthropic Claude API, OpenAI API, PostgreSQL, pgvector, MySQL, Redis, WordPress, CiviCRM, and Moodle LMS.
What kind of projects has Daniel Blanco built?
Daniel Blanco has built EvalKit — a self-hosted AI evaluation framework for testing prompts across Claude, GPT-4o, and Gemini simultaneously with four scoring methods, hallucination detection, and regression alerts — Runnory, a gamified narrative running app with a LangGraph biometric pipeline translating heart rate into live story events, a RAG-powered codebase intelligence tool using Tree-sitter AST chunking and Voyage AI embeddings, an AI-assisted job tracking platform with Next.js and FastAPI, and a machine-learning betting analytics dashboard.
How can I contact Daniel Blanco?
You can contact Daniel Blanco by email at hello@danblanco.dev, through LinkedIn at linkedin.com/in/daniel-blanco-dev/, or by using the AI assistant at danblanco.dev.
Is Daniel Blanco available for hire?
Yes. Daniel Blanco is open to full-stack and AI-focused engineering roles. He can be reached at hello@danblanco.dev.