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🔍 QA Automation & AI Validation
Testing GPT-based agents (text, images & reasoning), story-based test design, acceptance criteria, and E2E validation across backend, frontend, and databases. -
📊 Data Analysis & KPIs
Exploratory data analysis, SQL/ETL pipelines, KPI definition (p95 latency, uptime, detections), and operational insights. -
📈 Observability & Dashboards
Grafana dashboards based on PostgreSQL & CloudWatch metrics. Log standardization and monitoring logic for AI services. -
🤖 ML Projects (CV & NLP)
CNN & YOLO models, NLP sentiment analysis, dataset pipelines, and evaluation metrics (accuracy, recall, mAP). -
🧪 Testing Frameworks
Test scripting with Python & PyTest, documentation maintenance, Jira workflows, QA automation logic. -
🧑💻 Web Engineering
Websites with HTML, CSS, JS, WordPress. UX/UI improvements and client technical support.
Grow as a Data & QA Automation Engineer, specializing in AI systems, observability, reproducible testing pipelines, and automated validation.
- Select any screen region and extract text using EasyOCR.
- Copies the recognized text directly to the clipboard.
- Useful for QA, documentation, and quick data capture.
- Repo: ScreenToText
- Sentiment analysis and classification using NLP models
- Automated conversation analysis in Python
- CNN & YOLO training using PyTorch & TensorFlow
- Dataset pipelines, augmentations & metrics (accuracy, recall, mAP)
- RAM forensics using Volatility 3
- Malware, process and network anomaly detection
- 🌐 Portfolio: https://portf.maitweb.com
- 💼 LinkedIn: https://linkedin.com/in/mendez-esteban