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Daniel S.

Daniel S.

AI & Machine Learning Engineer · Junior

Mexico · Rate on request

Professional Overview

Software Engineering student at UABC (7th semester) specializing in backend systems and AI integration. I've built and deployed production-grade applications integrating Google Gemini API, OpenAI Whisper, and custom LLM workflows. My strongest AI project "Semantic Visualization" applies PCA, t-SNE, and UMAP to analyze genetic algorithm training,

Education

School
Universidad Autonoma de Baja California
Aug 2023 – Jun 2027
Degree / Program
Ingenieria en Software y Tecnologias Emergentes

Field of Study: Software Engineering, AI and Machine Learning

Areas of Expertise

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

NLP & Prompt Engineering

Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.

Automation & AI Workflows

Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.

Data Science & Analytics

Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.

Current location

Mexico

Time Zone

Tijuana UTC-8

Primary Work Language

Spanish

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