Available to hire
I’m Alejandro Ramirez Trueba, a software engineer and MSc candidate specializing in Full Stack development and AI integrations. I design scalable architectures and lead end-to-end SaaS projects, building predictive ML models and knowledge graphs using LLMs.
I focus on clean, maintainable code and solving complex business problems through data-driven technical solutions, thriving in cross-functional teams and delivering robust software on AWS.
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Language
Spanish; Castilian
Fluent
English
Advanced
Work Experience
Full Stack Developer (full-time) at Guajiritos S.R.L.
March 1, 2025 - March 1, 2026Led end-to-end development of a multi-tenant SaaS e-commerce platform, designing both frontend (Angular) and backend (NestJS) architectures. Built secure, high-availability services from scratch and optimized database queries to handle complex product catalogs and high-volume transactions. Managed deployments and scalable infrastructure on AWS.
Full Stack Developer (part-time) at Guajiritos S.R.L.
August 1, 2024 - March 1, 2025Transitioned to a core development role for a new multi-tenant SaaS e-commerce platform, architecting scalable backend services with NestJS and optimizing frontend rendering in Angular for dynamic catalogs. Implemented high-performance database schemas and state management to reduce storefront load latency.
Junior Full Stack Developer (part-time) at Guajiritos S.R.L.
September 1, 2023 - August 1, 2024Developed core frontend and backend features for a comprehensive tourism platform using Angular and NestJS, integrating booking services for accommodations, transportation, and tours. Engineered robust REST APIs to synchronize data across multiple providers and ensure reliable inventory management.
AI Research Assistant at University of Havana
January 1, 2024 - April 1, 2025Engineered an automated Knowledge Graph construction pipeline integrating Large Language Models (LLMs) via chain-of-thought prompting to extract complex entities and n-ary events from unstructured text. Scaled document processing with semantic chunking and persistent-memory deduplication, optimizing computation through progressive incremental writing in JSONL format using Python, LangChain, Sentence-BERT, and the Gemini 1.5 Flash API. Designed and implemented a Machine Learning predictive model to simulate extreme sports outcomes for the 2024 Olympic Games, with data analysis and validation in Python and TeX.
Education
Master of Science - MSc, Applied Data and Computer Science at Harbour.Space
April 1, 2026 - May 12, 2026Bachelor of Science in Computer Science at University of Havana
January 11, 2030 - July 1, 2025Qualifications
Industry Experience
Software & Internet, Professional Services, Retail
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