Backend Developer
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Node JS
Python
SQL
JavaScript
Kotlin
TypeScript
Java
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Overview
Technical skills
Timeline
Roles
Overview
Backend Java engineer (senior-level) focused on Spring Boot services and domain-specific systems for game tooling. The strongest proven skill is building backend domain logic and concurrent integrations as shown by ComboServiceImpl (CompletableFutures, dedicated Executor, HttpClient integration) and the DeckOptimizerV2 algorithmic optimizer. Mobile work, adaptive UI, background OS-limited tasks, app store release pipelines and native mobile integrations are not evidenced in public code.
Technical skills
Go
Node JS• Middle
Python• Middle
SQL
JavaScript
Kotlin• Senior
TypeScript• Middle
Java• Senior
Node JS
Express
Bcrypt
Kotlin
Mockito
Java
Spring Boot
Hibernate
Spring Framework
Spring Security
Jackson
AssertJ
Lombok
Databases
PostgreSQL
Frontend
HTMX
React.js
Tailwind CSS
PostCSS
Next.js
Vite
Material UI
Zod
ESLint
autoprefixer
MSW
Mobile
JUnit
Dependency Injection
DevOps
Docker
Git
gRPC
Vercel
AI/ML
Computer Vision
OpenCV
Timeline
California State University (Fullerton Campus)
Master's Degree •
Computer Science
Senior Mobile Developer
Confidence: Medium Generalist
Backend Java engineer (senior-level) focused on Spring Boot services and domain-specific systems for game tooling. The strongest proven skill is building backend domain logic and concurrent integrations as shown by ComboServiceImpl (CompletableFutures, dedicated Executor, HttpClient integration) and the DeckOptimizerV2 algorithmic optimizer. Mobile work, adaptive UI, background OS-limited tasks, app store release pipelines and native mobile integrations are not evidenced in public code.
Platform Native Mastery
Knowing the mobile platform
Not evidenced in public code
Mobile UI/UX & Responsiveness
Smooth mobile experience
Not evidenced in public code
Performance & Battery
Speed and battery use
Not evidenced in public code
Offline & Data Sync
Working offline and syncing
Not evidenced in public code
Device Integration
Using device features
Not evidenced in public code
Release & App Lifecycle
Building and publishing apps
Not evidenced in public code
Industries
Gaming• Middle
Technologies
Java• Senior
Kotlin• Senior
JUnit
Spring Framework
Jackson
Spring Boot
Mockito
Spring Security
Lombok
AssertJ
Dependency Injection
Recommendations
- Develop backend services for games or hobby platforms that need domain logic, caching and async integrations, for example combo-finding or deck-simulation services.
- Implement server-side components that integrate with external APIs or gRPC services while hardening retry and rate-limit handling as shown in ComboServiceImpl.
- Lead algorithmic feature work such as search, simulation or optimization engines (extend DeckOptimizerV2 with benchmarking and vectorized tests).
- Expand into cross-functional roles where backend, eventing and integration testing are required, such as microservice design, cache strategies and CI-driven integration tests.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Middle Backend Developer
Confidence: Medium API Engineer
Backend engineer focused on API-driven web applications and integrations at a middle level with strong service layering and pragmatic engineering. The strongest proven skill is building and integrating REST/gRPC services with accompanying repositories and caches, as shown by the Spring controllers and GrpcCardScannerClient plus cache/config classes. There is limited public evidence of production-grade infra (metrics/alerting, migration history, or explicit rate limiting) and some third-party vendored libraries are present in the tree rather than being referenced as external dependencies.
API Design
4/10
How well APIs are designed
API design shows deliberate controller/service separation, centralized exception handling and a gRPC client integration, but lacks explicit versioning, idempotency controls and documented API contracts.
Evidence
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/controllers/CardBrowserController.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/advice/GlobalExceptionHandler.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/service/impl/GrpcCardScannerClient.java
Data Layer & Database
4/10
Working with databases
Data layer uses hand-written JDBC repositories, custom RowMappers and integration tests which indicate conscious data-access design, but there is limited visible schema-migration history and few examples of advanced tuning or explicit transaction/isolation reasoning.
Evidence
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/repository/impl/CardRepositoryImpl.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/repository/impl/PersonalLibraryRepositoryImpl.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/mapper/OwnedCardRowMapper.java
Scalability & Performance
4/10
Handling load and speed
There are clear scalability-focused choices such as Caffeine caching, async listeners and use of CompletableFuture/executors and a decoupled gRPC scanner, but no strong evidence of measured load testing, cache invalidation policies with telemetry, or sophisticated rate-limiting/queueing.
Evidence
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/config/CacheConfig.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/cache/PersonalLibraryCache.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/service/impl/ComboServiceImpl.java
System Architecture
4/10
Overall system structure
The system is modular with controllers, services, repositories, async subscribers and a separate scanner runtime (gRPC), showing intentional decomposition and event-driven cache invalidation, though it's not at the level of multi-service production orchestration with explicit service contracts or config/secret management artifacts.
Evidence
scanner-runtime/grpc_server.py
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/service/impl/GrpcCardScannerClient.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/subscribers/LibraryCacheEvictionListener.java
Security & Auth
5/10
Protecting data and access
Security and auth are addressed at multiple layers: Spring Security configuration, custom authentication filter and sanitization aspect for inputs, plus password encoding, which indicates awareness of authn/authz and input hygiene.
Evidence
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/config/SecurityConfig.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/advice/SanitizationAspect.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/security/DemoAuthenticationFilter.java
Reliability & Observability
3/10
Stability and monitoring
There is central exception handling and some async retry/async task patterns, but limited evidence of structured observability (metrics, traces), consistent timeouts/retries with backoff, or deployment/runbook artifacts for reliability.
Evidence
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/advice/GlobalExceptionHandler.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/subscribers/ComboRefreshListener.java
Java-MTG-Deckbuilder/src/main/java/com/example/mtg_deckbuilder/service/impl/GrpcCardScannerClient.java
Verified artifacts
Expertise
Java• Middle
Microservices & API Architecture• Middle
Python• Middle
Node.js• Junior
Industries
Gaming• Middle
Technologies
Python• Middle
Go
SQL
PostgreSQL
gRPC
Vercel
Hibernate
Git
Docker
Recommendations
- Lead development of REST + gRPC backends that integrate image-processing or external service clients, including implementing strong client-side timeouts and retry/backoff strategies.
- Implement platform-focused features such as metrics/tracing (OpenTelemetry), structured logs with correlation ids, and alerting on cache/queue failures.
- Improve data layer maturity: add explicit migration history, document schema evolution, and add more hand-tuned queries/index guidance with performance tests.
- Extend event-driven flows into clear contracts (versioned events) and add end-to-end integration tests that simulate async subscribers and cache eviction.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Middle Frontend Developer
Confidence: Medium Fullstack
Fullstack web developer at a middle level with a clear strength in polished frontend UI and CSS craftsmanship. The strongest proven skill is visual UI design and polished interactions as shown by the hand-authored styles in ToroDDT/Portfolio/src/App.css and ToroDDT/Portfolio/src/resume.css. There is limited public evidence of advanced client-side async state management, accessibility engineering, measured performance optimization or large-scale system architecture.
UI Component Architecture
3/10
How interface parts are built
UI work shows strong visual/CSS craft but lacks clear component architecture, composition patterns or a bespoke design-system authored by the developer.
Evidence
ToroDDT/Portfolio/src/App.css: extensive hand-authored styling and UI sections without accompanying component files in the sample
ToroDDT/Portfolio/src/resume.css: custom modal and responsive layout styling indicating visual design effort
ToroDDT/Customer-Management-System-Gym/management_app/package.json: presence of @mui/material showing use of a UI library rather than a custom component system
Responsive & Cross-browser
4/10
Works on all screens and browsers
Responsive CSS and modern features are used (clamp, media queries, prefers-reduced-motion) but there is no evidence of RTL support, advanced fluid type or feature-detection strategies.
Performance Optimization
2/10
Speed of the interface
Minimal evidence of deliberate performance engineering beyond using modern tooling; no profiling, bundle analysis, advanced code-splitting or large-list virtualization present.
Accessibility & Semantics
3/10
Usable for everyone
Some semantic HTML and reduced-motion support are present, but there is little explicit ARIA, focus-management, keyboard handling or CI a11y tooling shown.
State Management & Data Flow
3/10
Managing data in the app
Server-side flows and basic validation/auth patterns are implemented, but advanced client-side async discipline, cancellation, optimistic updates or state machines are not evidenced.
Evidence
ToroDDT/Customer-Management-System-Gym/management_app/auth.ts: NextAuth provider with zod validation and bcrypt password verification
ToroDDT/Customer-Management-System-Gym/management_app/express/server/controllers/leadsController.js: asyncHandler controllers using Mongoose models
ToroDDT/Customer-Management-System-Gym/management_app/lib/fetchActiveSubs/fetchActiveSubs.ts: server-side data retrieval with test harness
UX & Visual Polish
5/10
Look and feel quality
High visual polish, thoughtful animations and UI states are present in CSS and styles, improving perceived experience, although many are CSS-only and not tied to advanced UX patterns like undo or progressive loading metrics.
Evidence
Expertise
React• Middle
Frontend Architecture & Build Tools• Middle
HTML & CSS• Middle
Industries
Lifestyle• Middle
Technologies
JavaScript
TypeScript• Middle
Node JS• Middle
HTMX
Tailwind CSS
Next.js
Express
Bcrypt
React.js
Vite
Material UI
PostCSS
ESLint
Zod
MSW
autoprefixer
Recommendations
- Lead implementation of customer-facing dashboards and marketing pages where visual polish and responsive CSS matter.
- Develop small-to-medium Next.js fullstack features that combine authentication and server-side data flows, leveraging the existing auth.ts and Express controllers.
- Convert core UI patterns into a reusable component library with documented accessibility and focused component boundaries.
- Introduce measured performance work such as bundle analysis, code-splitting, and RUM metrics to validate visual optimizations.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
