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1 follower · 3 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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alianisreyesr/README.md

Engineering focus

I turn operational requirements into tested software: Python and SQL pipelines, FastAPI services, React interfaces, explainable decision support, and traceable workflows. I graduate in December 2026 and am pursuing entry-level opportunities in Data Engineering, AI Engineering, Quality Engineering, Analytics Engineering, and IT Compliance/GRC.

Career signal: systems foundations, to data products, to quality systems, to measured impact

8

Public engineering repos

CI/CD

GitHub Actions · CodeQL · Docker

Full-Stack

FastAPI · React · TypeScript

GxP & AI

Regulated systems & AI evaluation

Live GitHub stats for @alianisreyesr — public repos, portfolio systems, followers, and language footprint

Regenerated weekly straight from the GitHub API by scripts/generate_stats_card.py — full interactive version →

Flagship projects

Shared architecture pattern: React interface calls a FastAPI service, which writes to SQLite/DuckDB and an append-only audit trail, gated by CI

Proves: full-stack risk analytics and production-minded backend design. Explainable scoring, CAPA workflows, append-only audit trail, and data-quality diagnostics.

Architecture: Python · FastAPI · React · SQLite · Docker

Proves: secure workflow and validation engineering. Controlled transitions, role-aware approvals, JSON Schema, and immutable UTC activity history.

Architecture: FastAPI · React 19 · TypeScript · SQLite · Docker

Proves: AI evaluation beyond a demo chatbot. Citation validity, retrieval recall@k, MRR, groundedness, golden datasets, latency and cost.

Architecture: Python · FastAPI · LLM Evaluation · RAG

Public portfolio projects use synthetic data to demonstrate engineering architectures and regulated quality patterns.

Supporting projects

Computer System Validation tracking with Requirements Traceability Matrices, IQ/OQ/PQ execution patterns, deviation logs, and a 21 CFR Part 11-aligned audit trail.

Stack: FastAPI · React · SQLite · Docker · Nginx

Synthetic pharmaceutical batch-manufacturing pipeline with DuckDB, dbt, SQL quality gates, and GxP process telemetry for decision-ready evidence.

Stack: Python · SQL · DuckDB · dbt · ETL

Risk-based Computer Software Assurance planning system aligned with FDA CSA guidance, risk classification, and unscripted testing strategies.

Stack: Python · FastAPI · React · Structured assurance workflows

ALCOA+ investigation workspace and evidence ledger for deviation root-cause analysis, audit trail review, and CAPA readiness.

Stack: FastAPI · SQLite · Audit trail evidence ledger

Analytics engineering pipeline with DuckDB, tested quality gates, dimensional metrics, and decision-ready inventory evidence.

Stack: Python · DuckDB · SQL · Analytics Engineering

Engineering pillars

Data engineering

Python, SQL, DuckDB, dbt, ETL, dimensional metrics.

AI evaluation

RAG evaluation, evidence grounding, regression datasets, human review.

Quality systems

ALCOA+, GAMP 5, audit trails, risk-based validation, controlled workflows.

Technology

Data engineering

Python SQL PostgreSQL SQLite DuckDB dbt

Software engineering & APIs

FastAPI React TypeScript Git

Cloud, containers & CI/CD

Docker GitHub Actions Linux

Regulated quality & compliance

GAMP 5 21 CFR Part 11 ALCOA+ CAPA Change Control

Validation & assurance principles

Every system in this portfolio is built with verification and auditability at the center:

Traceability

Where did the data originate and how was it transformed?

Accountability

What changed, who approved it, and when (UTC)?

Explainability

Can calculations and risk scores be audited and reproduced?

Assurance

Are requirements, automated tests, and deployment gates aligned?

Current direction

I am strengthening the flagship systems around production database migrations, role-based authorization, observability, retrieval diagnostics, and reproducible performance evidence. Each repository includes setup instructions, architectural context, and validation evidence so an interviewer can run it and discuss the tradeoffs.

Building auditable systems from data to decision

Open to internships and entry-level roles · Puerto Rico · Open to relocation

For full professional background and career history, visit LinkedIn · Digital portfolio · All repositories

Pinned Loading

  1. gxp-change-control gxp-change-control Public

    Portfolio-safe GxP change control tracker — impact assessment, approvals, post-change verification. Synthetic data only. Python · FastAPI · React.

    Python 1 1

  2. quality-deviation-risk-monitor quality-deviation-risk-monitor Public

    Portfolio-safe quality deviation risk monitoring prototype using synthetic data, Python, SQL, and FastAPI.

    Python 2

  3. gxp-batch-data-pipeline gxp-batch-data-pipeline Public

    Portfolio-safe pharmaceutical batch manufacturing data pipeline — DuckDB, dbt, SQL quality gates, and synthetic GxP process telemetry.

    Python

  4. csv-evidence-tracker csv-evidence-tracker Public

    Portfolio-safe Computer System Validation (CSV) evidence tracker — requirements traceability, IQ/OQ/PQ test execution, deviation log, and 21 CFR Part 11-aligned audit trail. Built with Python, Fast…

    Python 2 1

  5. data-integrity-case-file data-integrity-case-file Public

    Portfolio-safe data integrity investigation workspace — ALCOA+ gap analysis, evidence, CAPA readiness. Synthetic data only. Python · FastAPI · React.

    Python

  6. csa-assurance-planner csa-assurance-planner Public

    Portfolio-safe Computer Software Assurance (CSA) planner — risk-based assurance activities aligned with FDA CSA guidance. Synthetic data only. Python · FastAPI · React.

    Python