CloudPrune AI - FinOps SaaS Platform 🚀

Production B2B2B SaaS | AWS CDK + Lambda (FastAPI + Mangum) + ECS Fargate + Next.js 14 + async PostgreSQL + Claude API + Stripe + Turbo

Production B2B2B FinOps SaaS platform that analyzes AWS accounts and auto-generates Infrastructure-as-Code in 3 formats (CDK Python, Terraform HCL, CloudFormation YAML) for cost optimization, distributed via a partner-led GTM model.

Key Features: 18 resource analyzers covering 31+ optimization checks across compute, storage, networking, databases, commitments, extended support, and AI/ML; AI-powered IaC code generation using Claude API with business context enrichment via Claude Haiku; hybrid serverless architecture (Lambda + Mangum + ECS Fargate); white-label PDF reports; gainshare pricing (10% / 7.5% at scale) plus recurring Operate Plan subscriptions; GDPR-compliant architecture with DPA, ROPA, and Security Posture Document.

Validation: 4 active partners across Argentina, Spain, and Uruguay. First real partner scan detected USD 5,260/year in waste across a client AWS account.

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Quira - Industrial IoT Platform 🚀

Production Multi-Tenant SaaS | AWS CDK (9 stacks) + ECS Fargate + ALB + WAF + Cognito + RDS PostgreSQL 15 + FastAPI + Next.js 14 + ESP32 (Arduino C++)

Multi-tenant industrial IoT platform for environmental monitoring (temperature, humidity), with real-time alerts, auditable PDF/CSV reports, and native Microsoft Teams integration via Power Automate. Built solo from architecture to production launch in under 4 months.

Key Features: 9 CDK stacks on AWS (ECS Fargate behind ALB with WAF, Route53 + ACM, RDS PostgreSQL 15, Cognito, SQS, 6 Lambdas, SNS); FastAPI backend with 47 endpoints and 103 tests; HMAC-SHA256 + HKDF device authentication with idempotent ingestion; alert engine with severity escalation; async PDF/CSV report generation via WeasyPrint; sensor-agnostic data model and driver registry (CO2, pressure, vibration on V2 roadmap); Next.js 14 admin panel with 25 pages and full ES/EN i18n.

Validation: End-to-end validated with real ESP32 + SHT31 hardware. First partner LOI signed in Colombia (aerospace warehouse pilot, ~30 devices). Production launch: April 19, 2026.

Moovelix — B2B Logistics Marketplace

React + TypeScript + Vite | FastAPI + Python | PostgreSQL + PostGIS | AWS ECS Fargate

Full-stack SaaS marketplace connecting cargo shippers with carriers in Argentina's livestock transport sector. Built end-to-end as sole developer.

Infrastructure: Dual-service ECS Fargate deployment (frontend + backend), AWS CDK for IaC, complete CI/CD with GitHub Actions, S3 for document storage.

Integrations: MercadoPago payments, Google Maps (Places, Geocoding, Distance Matrix), SendGrid transactional emails.

Key Features: 7 user roles with granular permission matrix, geospatial search with PostGIS (find loads near your location), "Return Trip" feature to reduce empty miles, subscription model with 60-day trial + paywall, complete document management with expiration tracking, logistics company module (fleet management, driver assignments, operator portal), 50+ REST endpoints with Pydantic validation.

Business Model: Freemium → $30/vehicle/month subscription

Status: Staging (~65% complete)

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AWS CDK Project

CDK + Lambda + s3 + DinamoDB + React + CloudFront

This project implements a web application to manage NGO locations, allowing visualization, creation, updating, and deletion of locations on an interactive map.

The architecture uses core AWS services (DynamoDB, Lambda, API Gateway, S3, and CloudFront) with infrastructure as code through CDK, while the technical implementation consists of a Python backend with Lambda/DynamoDB and a React/TypeScript frontend using Vite and Leaflet for maps.

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AI-Powered Student Performance Advisor

AWS Bedrock (Claude) + Lambda + API Gateway + DynamoDB + S3

Intelligent analysis system that evaluates student performance data and generates personalized study recommendations using LLMs. The system uses a dynamic configuration architecture where prompts, endpoints, and output formats are stored in DynamoDB — enabling non-technical teams to modify AI behavior without code changes.

Key technical decisions: containerized Lambda functions, VPC peering for secure database access, incremental ETL with timestamp-based deduplication, and Parquet-optimized data lake with Glue/Athena for analytics.

Built for: Argeniss Software (client: confidential)

Document Intelligence Pipeline

AWS Bedrock (Claude 3) + Textract + Neptune + Step Functions + CDK

End-to-end document processing pipeline that extracts structured data from legal and medical documents using OCR (Textract), performs semantic analysis with LLMs (Bedrock), and builds knowledge graphs (Neptune) for cross-case analytics.

Architecture: dual graph system (mini + global Neptune clusters), automated pipeline orchestrated with Step Functions, PII controls with metadata-driven governance, full Infrastructure as Code with CDK Python.

Built for: Argeniss Software (client: confidential)

Dual Forecast System with SageMaker

SageMaker Canvas + Lambda (Docker) + S3 + CDK + GitHub Actions CI/CD

Machine learning forecast infrastructure with dual prediction models (short-term 180 days / long-term 12 months). S3 event-driven architecture triggers containerized Lambda functions that invoke SageMaker endpoints for real-time predictions.

Features: multi-environment deployment with CDK parameterization, automated model registry, S3-based input/output separation, full CI/CD with GitHub Actions.

Built for: Argeniss Software (client: confidential)

AWS Data Warehouse & QuickSight Dashboards

AWS CDK + Lambda + Glue + Athena + QuickSight + EventBridge + S3

Serverless ETL pipeline that extracts data from external APIs and SQL databases, transforms to Parquet format, and loads into an S3 data lake with Glue catalog. Incremental processing with DynamoDB-based metadata tracking and EventBridge scheduling.

Analytics layer with Athena queries and QuickSight dashboards combining historical and real-time data. Infrastructure fully defined as code with AWS CDK Python.

Built for: Argeniss Software (client: confidential)

HL7 and FHIR Healthcare Project

Python + HL7 + FHIR

HL7 to FHIR Converter: Streamline healthcare data interoperability. Transform HL7 ORU messages to FHIR resources with this two-step Python toolkit. Simplify lab result integration and enhance data exchange in modern healthcare systems.

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