Since starting my tech journey in December 2021, I’ve built cloud-native systems, production-ready APIs, and machine learning pipelines across platforms like Google Cloud and AWS. From RESTful backend development and Kubernetes-based infrastructure to building and deploying AI models, my focus is crafting scalable, secure, and intelligent systems.
Production-ready AWS data and machine learning pipeline for BTC/USD analytics.
- Ingests 1-minute OHLCV data into S3 with batch and mini-batch processing
- Converts raw data into partitioned Parquet for efficient Athena queries
- Daily data quality checks and automated reporting
- Trains a Random Forest volatility model using SageMaker
- Automated retraining and endpoint deployment
- Interactive dashboards built with QuickSight
📌 View GitHub Repo
🏅 3rd Place Winner – DRX-IT Innovation Contest 2025
Cloud-native lifecycle management platform for the automotive sector.
- Microservices architecture (Python, Go, TypeScript) deployed on GKE
- Event-driven communication with RabbitMQ and MongoDB
- CI/CD pipelines via GitHub Actions
- Secure authentication with CSRF protection and RBAC
- Observability with Prometheus and ELK stack
- NLP-powered document processing using spaCy
Cloud-native system metrics ingestion and analytics pipeline on AWS.
- Automated AWS provisioning with a custom IaC orchestrator (idempotent, dependency-aware)
- Collects CPU, RAM, disk, and network metrics using
psutil - Streams data to Kinesis Firehose with real-time Lambda transformation
- Dynamic S3 partitioning (year/month/day/hour) using Parquet + Snappy
- Optimized analytics via Athena, Glue Catalog, and QuickSight
- Robust configuration management, state persistence, and retry logic
- Comprehensive test suite (unit, integration, property-based, performance)
- Security-focused: CodeQL, Bandit, Dependabot, Safety scanning
Production-ready API starter template
- Modular, secure Express.js backend with TypeScript
- Dockerized, with CI/CD, unit testing, and commit hooks
- Ideal for rapid microservice or bot development
- BSc Computer Science (in progress) — Politehnica University of Bucharest
- Udemy
- TensorFlow 2: Deep Learning & AI (2024)
- ML A-Z: AI, Python & R + ChatGPT (2024)
- Tailwind CSS (2023)
- Microservices w/ Node.js & React (2023)
- Oracle Academy
- PL/SQL Programming (2022)
- Application Development Foundations (2022)
- AWS
- Certified Cloud Practitioner (2025)
- AWS Certified Machine Learning Engineer - Associate (2025)
| Language | Proficiency |
|---|---|
| 🇷🇴 Romanian | Native |
| 🇬🇧 English | C2 |
| 🇪🇸 Spanish | A1 |
📧 andreivataselu42@gmail.com
🧠 "80% of outcomes result from 20% of causes." – Pareto Principle