About Me
Hi! I'm Iñaqui Paladino Bravo, I'm 23 years old and I'm from Tandil, Buenos Aires, Argentina.
I am a Systems Engineer specialized in backend and cloud-native architectures. I have experience designing and deploying event-driven systems on AWS using Infrastructure as Code (IaC) and serverless patterns, with a focus on reliability, observability, and cost efficiency.
Currently, I design and operate backend systems and high-volume data pipelines with applied AI for automation and decision support. I work on solutions for semantic analysis, search/ranking, and intelligent information processing in real-world contexts.
I actively participate in the entire software development lifecycle: from requirements analysis and technical design to implementation, deployment, and production operations.
I am looking to grow in high-performance engineering environments with a great culture, where technical depth and ownership are key values for building robust solutions.
Experience
Software Engineer (Python & AWS)
- • Designed and implemented a serverless, event-driven pipeline on AWS for document processing, eliminating ~5 daily hours of manual data entry and ensuring end-to-end integrity in a production environment.
- • Implemented an asynchronous flow with SQS, S3, Lambda, and DynamoDB using multi-layer idempotent processing (locks), conditional writes, state correlation, and DLQ retries, avoiding duplicates and data loss under concurrency.
- • Adopted a no-loss-first approach with explicit trade-offs between false negatives and positives, reinforced by deterministic validations and business rules, prioritizing accounting integrity in a critical system.
- • Integrated Amazon Textract (OCR) with deterministic extraction and validation logic, plus business rules to ensure transactional integrity and structured data extraction.
- • Secured public endpoints with HMAC-SHA256 signature verification and managed all infrastructure as code with Terraform (remote state, least-privilege IAM, SSM, environment-based parametrization).
- • Implemented end-to-end observability with AWS Powertools + CloudWatch (metrics, alarms, and dashboards calibrated to real production volume).
Backend & Data Engineer
- • Developed an AI-driven semantic analysis engine for the country's second largest public database (CONICET/SIGEVA), processing and structuring decades of national scientific production.
- • Designed a two-stage NLP pipeline (bi-encoders + cross-encoders) for semantic matching and assignment across thousands of profiles.
- • Implemented a cross-encoder reranking system, accelerating GPU inference (~9x speedup) by replacing high-level APIs with manual forward passes and utilizing mixed precision (FP16 + autocast), leveraging Tensor Cores and multi-GPU parallelism for scale.
- • Developed applied AI algorithms for complex matching, expert search, and the formation of technical committees.
- • Orchestrated concurrent and hybrid ETL pipelines (Python, Solr, PostgreSQL/pgvector) featuring real-time language detection and caching strategies.
- • Architected a technological bridge to connect experts with innovation demands from leading industries (Vaca Muerta, Globant, Mercado Libre, Meta) through precise technical capability identification.
- • Managed infrastructure and scalability (MLOps) via Docker, CI/CD pipelines, and the integration of search engines with relational databases.
Software Developer
- • Designed, developed, and implemented a fullstack educational web platform to support Study and Research Paths (SRP), an inquiry-based didactic approach that promotes collaborative and meaningful learning in mathematics.
- • Built the core application (Astro SSR with Bun) alongside an asynchronous Python worker to automatically process student questions and answers, generating progress reports and identifying patterns.
- • Implemented role-based authentication (teachers and students), file storage, and real-time collaboration and tracking capabilities.
- • Developed automated educational data analysis utilizing embeddings and NLP techniques to cluster responses and evaluate progress.
- • Deployed the platform in a real-world classroom pilot with teachers and students, validating its adoption in context.
- • Co-authored a scientific paper presenting the pilot results at an international didactics conference in Barcelona.
Systems Engineer
- • 🪪 Intermediate degree: University Programmer Analyst
- • 🏅 Distinction: Graduated with academic honors
- • 📊 GPA: 8.75
AWS Solutions Architect Associate (SAA-C03)
- • Preparation completed — exam pending
Fundamentals of Software Engineering
- • 🌎 PILA Virtual Program 2023 (Academic exchange)
- • 📊 Final grade: 9.4
Technologies
Cloud & DevOps
AWS
Terraform
Docker
Linux
Bash
GitHub Actions
Git
Backend
Python
Postgresql
Nodejs
Apache Solr
Java
C-C++
Redis
Frontend
Astro
TypeScript
Preact
Tailwind CSS
htmx
Projects
Virtual financial analyst built on AWS Serverless architecture. It monitors and analyzes the market on X (formerly Twitter) via a fully decoupled, event-driven workflow. The infrastructure is defined entirely with Terraform (IaC). Orchestration is managed by EventBridge, which triggers ephemeral tasks on ECS Fargate Spot for robust data extraction (handling real sessions and evasion techniques), followed by asynchronous processing on Lambda utilizing Large Language Models (LLMs) for contextual report generation. The frontend operates on a Git-based CMS model: every report triggers a GitHub Actions pipeline that deploys the static site globally via CloudFront.
Serverless solution for ephemeral and secure file transfer on AWS. It includes a CLI to generate temporary upload and download links using S3 Pre-Signed URLs, wrapped in disposable HTML interfaces, with no persistent backend. The infrastructure is fully defined using Terraform (IaC), leveraging remote state and execution via IAM AssumeRole in a multi-account environment, where the Route53 Hosted Zone, the Terraform backend, and ACM certificate validation reside in the management account (AWS Organization). Perimeter security is ensured through CloudFront with Origin Access Control (OAC), keeping the buckets strictly private with TLS/SSL termination.
Fork of the official AWS Labs serverless Dynamic DNS solution for Route53. On top of the original baseline, I added production-oriented improvements for real routers and legacy devices: a DynDNS-compatible endpoint (/nic/update), HTTP/HTTPS support via CloudFront, Basic Auth and temporary token-based authentication for browser updates.
Web-based classroom-style platform designed to support teaching through Study and Research Paths (SRPs), organizing learning around questions and answers. It enables real-time collaboration, academic progress tracking, and automatic analysis of educational data using AI techniques. It is currently used by teachers and students in real classroom contexts, and its development led to a scientific publication presented at an international conference on didactics.
User: usuario@demo.com Password: password
Personal Cloud Infrastructure
Setup and maintenance of a self-hosted cloud infrastructure on a VPS (DigitalOcean), used to deploy and monitor multiple personal apps with Coolify. Includes a private VPN (WireGuard) for secure device communication, a self-hosted S3 server (MinIO) with access control and expiring links, and a N8N instance to orchestrate complex workflows. Also features advanced configuration of firewall, DNS, custom domains, reverse proxy, and SSL certificates.
