Luigui Gallardo-Becerra

Data Specialist

Supporting Meta's Trust & Safety operations as a contractor through TEKSystems, focusing on content evaluation to enhance platform integrity and advertiser confidence.

• Content Classification: Performed systematic classification and annotation of digital content to improve Content Brand Suitability standards across Meta's advertising ecosystem.
• Content Labeling: Evaluated and labeled content at scale, applying established guidelines to ensure brand-safe environments for advertisers.
• Data Quality: Contributed to data quality initiatives that feed into machine learning models for automated content moderation and suitability scoring.
• Policy Refinement: Collaborated with cross-functional teams to identify edge cases and provide feedback that refines classification frameworks and policy guidelines.

STEM Python Expert (Chemistry and Biology)

Working as an AI trainer and evaluator, designing rigorous benchmarks and generating high-quality datasets to improve the reasoning and coding capabilities of Large Language Models in STEM domains.

• LLM Benchmarking: Designed and solved complex coding challenges to benchmark Large Language Models (LLMs) and rigorously verify their logical reasoning.
• Code Evaluation: Evaluated and debugged AI-generated Python code across STEM domains to ensure strict accuracy, optimal performance, and adherence to best practices.
• RLHF & Dataset Generation: Annotated, ranked, and corrected model responses to generate high-quality datasets for AI training via reinforcement learning from human feedback (RLHF).

Graduate Research Assistant (Data Science & Bioinformatics)

Led and contributed to genomics and microbiome research projects by integrating molecular biology workflows with scalable computational pipelines and web tooling to support high-impact scientific findings.

• Developed reproducible NGS analysis pipelines (Python, R, Bash, Snakemake, Nextflow) for metagenomics, metatranscriptomics, RNA-seq, and 16S datasets, reducing analysis time from days to hours.
• Analyzed high-throughput sequencing datasets (>2 TB) using HPC and Linux systems, optimizing compute environments and improving workflow efficiency for 10+ research members.
• Designed and implemented custom ETL and data-processing tools (Python, R, Bash, Perl) to solve research-specific challenges in microbiome and microbial genomics studies.
• Used Git and GitHub for version control, documentation, and collaborative development in multidisciplinary teams.
• Co-authored 15 peer-reviewed publications in journals including Microbial Ecology, Scientific Reports, and Genes, contributing to experimental design, data analysis, and manuscript preparation.

Data Engineer

Worked as an independent contractor supporting data sourcing and annotation projects for clients in technology and machine learning.

• Collected, curated, and preprocessed structured and unstructured datasets for ML and analytics teams.
• Prepared weekly deliverables and maintained documentation for project managers and clients.
• Provided translation and linguistic annotation (Spanish–English) to support data quality requirements.

Software Engineer (Internship)

Assisted in the development of a clinical record management web application.

• Built REST APIs using ASP.NET Core (C#) and implemented frontend components with Angular, HTML, CSS, and JavaScript.

Data Scientist | Bioinformatician (Internship)

Supported a microbiome research project analyzing bacterial community composition under different aquaculture conditions.

• Processed and analyzed 16S rRNA sequencing datasets using Linux, HPC environments, Bash, and R.
• Developed ETL scripts (Python, Bash, Perl) for preprocessing and feature extraction.
• Generated visualizations and statistical analyses for publication and presentations.
• Co-authored a peer-reviewed article published in Nature Scientific Reports.

Mathematics Teacher

Provided part-time mathematics instruction for high school and college-preparatory students.

• Developed custom lesson plans and provided individual and group tutoring.
• Designed weekly assessments to measure and improve student performance.

• Developed using Python, Django, HTML, and CSS.
• Designed a full-stack system for managing clients, pets, appointments, and clinic records.
• Implemented secure authentication and structured data models for scalable workflow management.

• Developed using R, Shiny, and RStudio.
• Automates differential expression analysis from metadata and read-count matrices.
• Generates publication-ready volcano plots and correlation visualizations (SVG format).

• Built using Shiny and R for interactive correlation analysis.
• Accepts tabular input and computes Pearson or Spearman correlations with statistical significance.
• Provides downloadable, publication-ready correlation plots in SVG format.

• Developed using Nextflow to automate reproducible 16S rRNA workflows.
• Processes Illumina paired-end reads through QC, OTU clustering, taxonomy assignment, and diversity analyses.
• Generates standardized outputs compatible with downstream visualization platforms.

• Developed using Snakemake to align metagenomic samples with BWA-MEM.
• Computes relative abundances across samples.
• Generates summary plots for downstream interpretation.

National Autonomous University of Mexico (UNAM)

National Autonomous University of Mexico (UNAM)

University of Guadalajara (UDG)