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Almanza33 User

@almanza33

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AI Developer and Researcher with expertise in full-stack development.

Colombia

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can apply my skills in AI, ML and full-stack development to solve real-world challenges.

Full-Stack Developer and Engineer with a dual background in Systems and Computer Engineering and Physics, combining strong software engineering fundamentals with a deep analytical foundation in mathematics and statistics. Experienced in building and owning complete product features — from database modeling and backend architecture to frontend implementation and data-driven release strategies. Proficient across the modern web stack (React, Node.js, REST APIs) with hands-on expertise in AI/ML integration, LLM systems, and data analysis. Brings a unique quantitative perspective to engineering challenges, applied across startup environments, academic research, and independent projects.

Experience

Work history, roles, and key accomplishments

Enterprise Website devment — Dimetales

freelance project

Jan 2026 - Mar 2026 (2 months)

Designed and developed a complete enterprise web presence for Dimetales from scratch, acting as sole developer and technical consultant.
- Produced all UI/UX design independently, from initial brand alignment and wireframing through to final implementation — resulting in a polished, production-grade static site.

React Node TSX

Full-Stack Developer

Straico

Oct 2024 - Jan 2026 (1 year 3 months)

Owned the full development lifecycle of multiple platform features: designed relational database schemas, implemented backend business logic (Node.js), and built the corresponding frontend views (React) — delivering end-to-end features independently in a fast-paced startup environment.

React LLM RAG API Development Performance Monitoring

Research Contributor

Statistical Physics Investigation Group

May 2023 - Dec 2024 (1 year 7 months)

Participated in a research project investigating the intersection of statistical physics and machine learning. Analyzed complex systems and collaborated with team members to explore how principles of thermodynamics and probability could inform the optimization of AI models.

Machine Learning Data Analysis Research Probability

Education

Degrees, certifications, and relevant coursework

Universidad de los Andes

Bachelor of Science, Computer Science

2021 -

Grade: 4.2

Currently pursuing a Bachelor of Science in Computer Science, with an expected graduation in 2026. Relevant coursework includes Machine Learning Foundations, Deep Learning & Generative AI, and Data Preprocessing & Feature Engineering. Also studying AI Ethics, Advanced Calculus, Linear Algebra, Probability, and Statistics.

Universidad de los Andes

Bachelor’s Degree, Physics

2020 - 2024

Grade: 4.2

Bachelor's Degree in Physics. Relevant coursework includes Advanced Calculus, Linear Algebra, Probability, and Statistics. This dual background provides a deep understanding of mathematical principles and a deep analytical foundation while solving problems.