Alex Grigoras

About

Software Engineer specializing in the end-to-end architecture of robust cloud-native platforms.
Designing high-throughput, event-driven backend systems (C#/.NET, Node.js) to power seamless, cross-platform user experiences.
Orchestrating resilient deployment infrastructure using Kubernetes, Terraform, and Kafka.
Scaling system-design capabilities into deep AI/ML architecture and advanced algorithmic integrations to solve heavy data bottlenecks.

Experience

Architected cross-platform deployment infrastructure and automated release pipelines for a desktop database manager supporting multiple database engines concurrently.
Engineered release and deployment infrastructure, automating CI/CD pipelines, container packaging, and cross-platform installers.
Grew the open-source product's user base and community engagement while sustaining contributor velocity.

TypeScript
React
Electron
GitHub Actions
CI/CD
Docker
PostgreSQL
MySQL
MongoDB
Redis

Designed high-availability system architecture and event-driven data pipelines by building the backend with modern web technologies, mobile frameworks, and cloud infrastructure.
Optimized ingestion, caching, and map APIs to significantly improve server-side response times.

TypeScript
JavaScript
Next.js
React Native
PostgreSQL
Redis
AWS
Terraform

Architected and built the backend systems and cross-platform client integration for a multi-tenant B2B platform.
Built core backend and frontend workflows for core business operations while maintaining system reliability and consistent API behavior.
Delivered architecture and quality-of-life improvements, including role-based access and workflow refinement, while reducing cloud costs through optimized database execution paths.

C#
.NET
Avalonia UI
PostgreSQL
AWS
Multi-tenant
B2B

Architected and maintained distributed cloud-native infrastructure for a log analytics system, enabling high data throughput and maintaining high uptime.
Improved query latency end-to-end by implementing database indexing and performance optimizations.
Improved system reliability through real-time monitoring and automated incident response pipelines for troubleshooting and autoscaling.

Node.js
TypeScript
JavaScript
PostgreSQL
Redis
Kafka
Kubernetes
Terraform
Sentry
Datadog
Python
C#
.NET

Education

Nottingham Trent University

BSc (Hons) Software Engineering

July 2025

Projects⁽⁵⁾

A modern, lightweight database management tool. Create, manage, and run multiple database instances locally with an intuitive interface.

Key Capabilities:

Multi-Database Support: Manage PostgreSQL, MySQL, MongoDB, and Redis databases all in one place
Easy Installation: Automatic database installation with version selection via platform package managers
Database Lifecycle Management: Create, start, stop, and delete database instances with ease
Auto-Start: Configure databases to automatically start when the application launches
Port Management: Automatic port conflict detection and resolution
Real-Time Monitoring: Monitor database status, system metrics, and resource usage
Version Management: Install and manage multiple versions of each database type
Modern UI: Beautiful, responsive interface built with React and Tailwind CSS

LiquiDB Dashboard

Open Source
TypeScript
Electron
React
Next.js
Database Management
PostgreSQL
MySQL
MongoDB
Redis

AI-powered find-in-page extension that transforms how you search and understand web content. Press Ctrl+F to get instant AI insights about any webpage.

Features:

Smart Find: Enhanced find-in-page with AI-powered search assistance
AI Chat: Ask questions about page content when search yields no results
Model Selection: Choose from hundreds of AI models via OpenRouter (GPT-4, Claude, Gemini, Llama, and more)
Beautiful UI: Modern, transparent interface with smooth animations
Privacy First: Only sends first 500 tokens of page content, settings stored locally