Product and software development, AI, data analysis and scalable systems. Download the template if you like it or explore the projects I enjoy working on
AI that evaluates tech talent. Reduces hiring time by 85% and eliminates 95% of costs and human bias. Executive and in-depth reports (+20 pages). Development questions, Test questions, Code completion, Algorithmic complexity, Errors, Completion, PR, Mathematical logic, Clean code.
SaaS platform for AI agent orchestration in banking debugging.
6 specialised agents process Java/Cobol console errors. Identify exact error location and provide actionable solutions for development teams. Saves 1-8 hours per error. Integration with Gemini 2.5 Pro.
Ultra-fast processing through multiple workers with multiple strategies.
50+ supported TLDs organized by categories. Support for 3 and 4 letters (17,576 - 456,976 combinations). Automatic benchmark to find the best strategy. Real-time statistics and detailed progress. Results saved in organized files.
Share moods with emojis and location. Swift + Supabase app. Management and control backend for administrators in Next.js.
iOSSwiftSupabaseReal-timeNext.jsBackendAnalytics
AI Gota
iOS nutritional analysis app.
Scan restaurant menus with a photo and calculate purine levels. Detailed nutritional cards for specific foods or dishes. Add an ingredient or dish to know purine level and establish traffic light system.
Banking phishing detection system through domain scraping.
POC that scans .com, .net and .org domains to prevent phishing attacks. Generates variations with banking dictionary and generates automatic alerts with CSV results.
Terminal-inspired design with monospace aesthetic, automatic dark/light mode, project image gallery and email anti-spam protection. Open source template available for public use.
CSV processing of monthly order lists from pharmaceutical laboratory. Creation of delivery notes in Excel/PDF. Data validation with error reports. Magic link login. Intuitive interface. Deployed on Render. Reduces workload from 5 days to 3 minutes. Customizable delivery notes.
PythonExcelPDFCSVMVCRender
AI Unicode Detector
Tool to detect invisible Unicode.
Analyses visually unrepresentable characters generated by AI that can cause data problems. Detects AI-generated texts.
For a technology company specialising in the banking sector, the challenge was to develop an intelligent orchestrator capable of managing the massive volume of errors their client processes daily.
The implemented solution consists of a multi-agent architecture composed of: • 6 specialised agents coordinated by 1 main orchestrator • 4 analysis agents specialised in specific error types and Java/Cobol console files • 1 validation agent that verifies data consistency, code lines, paths and structures • 1 reporting agent that generates structured reports in multiple formats
Scalability and performance: • Processing of 1400 files with 10 levels of nested depth • Generation of actionable report in less than 5 minutes • Time reduction: from up to a day's work per error to less than 5 minutes total
Technical requirements implemented: • Integration with Google partnership using Gemini 2.5 Pro • SaaS architecture for immediate deployment • Authentication system with user management and access limits • Parallel processing of multiple error files from ZIP