Mina Magdy - Software Developer

Overview

Backend services engineer (senior-level) focused on building observability, ingestion and API systems. The strongest proven skill is server-side systems design and integration as shown by a syslog TCP/UDP listener and the ScheduledPullService with SSH/HTTP log fetching (app/src/ingestion/syslog-listener.service.ts and app/src/ingestion/scheduled-pull.service.ts). There is little to no public evidence of game-engine, rendering, physics, or graphics work, and automated tests and CI configuration are mostly not present.

Phone

Timeline

Software Engineer · Middle

QovaTech · Contractor

Jan 2026 to Present 10 Months Alexandria Fully remote

Built content-generation and publishing workflows using NestJS with PostgreSQL and Redis, integrating the Meta/Instagram Graph API. Implemented semantic caching to reduce redundant model inference and added prompt regression checks to evaluate changes. Supported reliable backend operations in a hybrid work setup.

Nest.JS

PostgreSQL

Redis

Software Engineer Intern · Junior

QovaTech · Internship

Nov 2025 to Jan 2026 2 Months Alexandria In office

Contributed to backend development and supported AI-related integrations as part of the engineering team. Continued collaboration after the internship began, transitioning into a part-time engineering role. Focused on delivering maintainable backend functionality that supports AI-enabled workflows.

Software Engineering Intern · Junior

TechXlab · Internship

Jul 2025 to Sep 2025 2 Months In office

Developed a Java backend application within an Agile/Scrum team during a Vodafone-sponsored internship. Worked on backend implementation tasks as part of the internship program and achieved an A+ internship evaluation. Focused on structured delivery within the team development process.

Java

Agile

Scrum

Alexandria University

Bachelor's Degree · Computer Science

Alexandria, Egypt

Projects

Client Worklog AI 2026

Built AI-assisted evidence workflows with human review before updating a work ledger. Implemented a project-scoped RAG approach with source validation, append-only status history, and timezone-aware reporting. Added Alembic migrations, React review/reporting views, and PostgreSQL integration tests.

AI Logger

Engineered centralized log ingestion across application APIs, syslog streams, and remote servers. Designed event-driven incident workflows to connect alert evaluation, ticket creation, and notifications. Secured ingestion using JWT/API keys and integrated configurable local or cloud AI providers for contextual log analysis.

Qova SaaS CRM

Developed a SaaS CRM with AI-agent capabilities used by 20+ companies. Built modular backend APIs for sales, inventory, collections, and treasury using shared TypeScript contracts. Ensured financial data consistency with database transactions, idempotency controls, RBAC, and audit logging.

Technical skills

Languages

9

TypeScript

Node JS

C++

SQL

JavaScript

Java

Python

Go

C

Node JS

7

TypeORM

Express

Passport.js

Bcrypt

Nest.JS

Dotenv

Prisma

Python

3

SQLAlchemy

FastAPI

Alembic

Frontend

3

React.js

Next.js

Tailwind CSS

Databases

3

PostgreSQL

Redis

SQLite

DevOps

7

AWS

Rest API

DigitalOcean

GitHub

Docker

Git

Linux

Other

13

OWASP Top 10

Spring Boot

LangChain

LangGraph

Services

Ollama

OpenAI

Model Context Protocol

CI/CD

AI Agents

RAG

Structured Outputs

Incident Management

Senior Game Developer Confidence: Medium Generalist

Backend services engineer (senior-level) focused on building observability, ingestion and API systems. The strongest proven skill is server-side systems design and integration as shown by a syslog TCP/UDP listener and the ScheduledPullService with SSH/HTTP log fetching (app/src/ingestion/syslog-listener.service.ts and app/src/ingestion/scheduled-pull.service.ts). There is little to no public evidence of game-engine, rendering, physics, or graphics work, and automated tests and CI configuration are mostly not present.

Gameplay Systems & Mechanics

How game logic works

Not evidenced in public code

Graphics & Rendering

Drawing game visuals

Not evidenced in public code

Physics & Math

Game physics and math

Not evidenced in public code

Engine Proficiency

Skill with the game engine

Not evidenced in public code

Performance & Frame Budget

Keeping the game smooth

Not evidenced in public code

Content Pipeline & Tooling

Tools for game content

Not evidenced in public code

Industries

Health Care· Middle

Software· Middle

Technologies

Services

Recommendations

Develop observability and log management features such as resilient ingestion pipelines, backpressure handling, and ingestion metrics - leverage the existing syslog listener and scheduled-pull implementations.
Build production-ready alerting and notification integrations (e.g., resilient webhooks, authenticated Slack/email delivery) based on alerts/services/notifications.service.ts and rules-engine.service.ts.
Implement secure operational practices: add secrets management, rotateable credentials for SSH pulls, and improve password hashing flows and input validation across handlers.
Hardening and automation: add test coverage and CI pipelines, and add end-to-end tests for ingestion and alerting paths to make the system production-grade.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

AI-Logger- codersquare Alex-Med-Services-BE

Middle Backend Developer Confidence: Medium API Engineer

Middle backend engineer specializing in modular Node.js and NestJS API services with an emphasis on AI-powered log ingestion and analysis. The strongest proven skill is building modular, provider-based server architecture and auth/ingestion flows, demonstrated by app/src/ai/providers/openai.provider.ts and ollama.provider.ts together with auth guards and DTOs in app/src/auth/*.ts. There is limited public evidence of production-grade resilience patterns, migration history, systematic performance testing or advanced operational tooling in the code provided.

API Design

3/10

How well APIs are designed

Conventional REST/HTTP API design with NestJS controllers and Swagger present; lacks explicit versioning, idempotency handling or documented error contract patterns.

Evidence

AI-Logger-/app/src/ai/ai.controller.ts

AI-Logger-/app/src/auth/auth.controller.ts

AI-Logger-/app/package.json

Data Layer & Database

3/10

Working with databases

Uses TypeORM/entities and multiple database-backed entities but no migration history or explicit transaction/isolation handling visible.

Evidence

AI-Logger-/app/src/ai/entities/analysis-result.entity.ts

AI-Logger-/app/src/auth/entities/api-key.entity.ts

codersquare/server/dataStore/sql/dbIndex.ts

Scalability & Performance

2/10

Handling load and speed

Some decoupling via scheduled jobs and a syslog listener; no evidence of queues, caching invalidation strategies, connection tuning or load-test driven optimizations.

Evidence

AI-Logger-/app/src/ingestion/scheduled-pull.service.ts

AI-Logger-/app/src/ingestion/syslog-listener.service.ts

System Architecture

3/10

Overall system structure

Clear modular service decomposition using NestJS modules and provider pattern for AI backends; not a distributed/multi-service architecture and config/secret handling is basic (dotenv).

Evidence

AI-Logger-/app/src/app.module.ts

AI-Logger-/app/src/ai/ai.module.ts

AI-Logger-/app/src/ai/providers/openai.provider.ts

Security & Auth

4/10

Protecting data and access

Explicit auth components (JWT, API key guard) and input DTOs plus class-validator; password hashing and passport usage shown but token lifecycle/refresh/revocation not evident.

Evidence

AI-Logger-/app/src/auth/guards/api-key.guard.ts

AI-Logger-/app/src/auth/strategies/jwt.strategy.ts

AI-Logger-/app/package.json

Reliability & Observability

2/10

Stability and monitoring

Basic reliability/ops primitives like scheduled tasks and dotenv; limited evidence of timeouts, retries with backoff, graceful shutdown, structured logging or metrics/alerts.

Evidence

AI-Logger-/app/src/main.ts

AI-Logger-/app/src/ingestion/scheduled-pull.service.ts

Expertise

Backend AI & LLM· Middle

Node.js· Middle

Microservices & API Architecture· Middle

Industries

Software· Middle

Technologies

Go

Java· since 2025

Rest API

Spring Boot

FastAPI

Bcrypt

Prisma

Passport.js

TypeORM

Dotenv

Recommendations

Build REST/GraphQL APIs and integrations for AI-driven observability or log-analysis features using NestJS and TypeORM.
Implement ingestion pipelines and connectors (syslog, scheduled pulls, webhook consumers) with clear idempotency and retry/backoff logic.
Develop authentication and API key management systems, including token lifecycle (refresh/revocation) and role-based access controls.
Prototype data model evolutions with migration histories and add transactional boundaries and tests for critical flows.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

nextjs-geist-font-optimization AI-Logger- codersquare

Middle Frontend Developer Confidence: Medium Fullstack

A web developer (middle level) working across Next.js frontends and Node/Nest backends with a practical strength in assembling fullstack web apps. The strongest proven skill is backend/service architecture and integration demonstrated by NestJS modules, guards and services in the AI-Logger project (for example app/src/auth/guards/jwt.guard.ts and app/src/ai/ai.service.ts). Public code shows little evidence of systematic frontend performance measurement, comprehensive a11y work, or meaningful test coverage.

UI Component Architecture

2/10

How interface parts are built

Small, reused component pieces and simple hooks are present but no evidence of a custom component library, deliberate composition architecture, or design-system work authored by the developer.

Evidence

MONOCODE-V/nextjs-geist-font-optimization/src/hooks/use-mobile.ts MONOCODE-V/nextjs-geist-font-optimization/src/lib/utils.ts

Responsive & Cross-browser

2/10

Works on all screens and browsers

Basic device detection and standard responsive toolchain usage exist but no advanced layout strategy, container queries, RTL or cross-browser feature-detection authored here.

Evidence

MONOCODE-V/nextjs-geist-font-optimization/src/hooks/use-mobile.ts MONOCODE-V/nextjs-geist-font-optimization/package.json

Performance Optimization

2/10

Speed of the interface

Some attention to modern framework tooling (Next.js, turbopack, next/font) is visible via configuration and deps, but there is no developer-authored performance audit, measured before/after metrics, or non-trivial bundle work shown.

Evidence

MONOCODE-V/nextjs-geist-font-optimization/package.json MONOCODE-V/nextjs-geist-font-optimization/next.config.ts

Accessibility & Semantics

1/10

Usable for everyone

No concrete accessibility implementations or CI a11y checks are present; accessibility signals are limited to dependencies (Radix) rather than custom accessible widgets or ARIA handling.

Evidence

MONOCODE-V/nextjs-geist-font-optimization/package.json

State Management & Data Flow

3/10

Managing data in the app

Clear server-side modular structure and API/service patterns are present (NestJS modules, guards, services) and simple datastore/DAO layers exist, but frontend async-state discipline (request cancellation, optimistic updates, state machines) is not evidenced.

Evidence

MONOCODE-V/AI-Logger-/app/src/auth/guards/jwt.guard.ts MONOCODE-V/AI-Logger-/app/src/ai/ai.service.ts MONOCODE-V/codersquare/server/dataStore/sql/dbIndex.ts

UX & Visual Polish

1/10

Look and feel quality

Visual polish and UX refinements are minimal in authored code; there are project-level intentions (font optimization in README) but few developer-authored loading/error UX patterns or skeletons.

Evidence

MONOCODE-V/nextjs-geist-font-optimization/README.md MONOCODE-V/nextjs-geist-font-optimization/package.json

Expertise

React· Middle

Modern Web Frameworks· Middle

Industries

Information Technology· Middle

Technologies

JavaScript

TypeScript· since 2025 · Middle

Node JS· Middle

Nest.JS· since 2026

Tailwind CSS

Next.js

Express

React.js

Recommendations

Implement and own small-to-medium Next.js features and pages, including server- and client-side routing and API integration.
Develop and maintain backend APIs and service modules (NestJS) such as auth, ingestion, and AI-provider integrations.
Tackle platform tasks like font/asset optimization, bundling strategy tuning, and measurable RUM/bundle-analyzer driven performance improvements.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

nextjs-geist-font-optimization AI-Logger- codersquare

Job preferences

Work permits: Egypt