APPLIED ARTIFICIAL INTELLIGENCE — SOFTWARE
{ Python + AI }
INTEGRATE → BUILD → DELIVER
AVAILABLE FOR CONVERSATIONS
AI SOFTWARE ENGINEER / PYTHON & APPLIED AI
Daves Balthazar.
AI Software Engineer · Python & Applied AI
I build software products and AI-assisted experiences that connect Python, APIs and application logic. My background combines hands-on engineering, cross-platform delivery and practical LLM integration with a strong focus on maintainability.
20+Years across
software engineering
8+Years delivering
Flutter products
52K+Subscribers to
technical content
500+Flutter & Dart
teaching videos
01 / PROFILE
About me
I'm a software engineer with a strong foundation in Python, API integrations and applied AI features, backed by more than two decades of software engineering and technology experience. My work spans practical development, product integration and production delivery across mobile, web and server-adjacent systems.
My AI-related work includes AI-assisted prompt and script-generation features, API-connected workflows and technical education covering LLM tool calling and structured outputs. My emphasis is practical AI integration: software that connects models and services to helpful product features.
Python & APIsApplied AI featuresLLM integrationFull-stack engineeringClean Architecture
02 / EXPERIENCE
AI & software engineering projects.
APPLIED AI · PYTHON · SOFTWARESelected real-world work, grouped by engineering focus and product domain rather than employer or overlapping job dates. Client and employer names are intentionally omitted.
✳
APPLIED AI · PRODUCT FEATURES
AI-Enabled Application Engineering
Implemented AI-assisted product experiences that connect user-facing applications with content-generation workflows and cloud services.
- AI-assisted prompt and script-generation flows for creator applications
- Flutter/Firebase integration connecting UI, application state and AI-powered features
- Product-centric approach to usability, error handling and integration reliability
Applied AILLM integrationFirebaseMobile / Web
⌘
PYTHON · SOFTWARE ENGINEERING
Python Development & Automation
Python as part of a broad software engineering toolkit for data processing, backend-oriented workflows and development automation.
- Python programming, structured data transformation and reusable scripts
- API requests, JSON payloads, data validation and integration-oriented programming
- Experience working across Python, JavaScript/TypeScript and mobile stacks
PythonAutomationJSONREST APIs
↗
LLM TOOLING · API INTEGRATION
LLM Workflows & External Services
Knowledge of connecting large language models with application logic, external APIs and structured tool responses.
- Function calling, tool calling and structured output patterns
- Authentication considerations, external service integration and data contracts
- Educational material explaining practical AI-agent and API workflows
LLMsTool callingFunction callingAPI orchestration
▣
FULL-STACK · PRODUCT DELIVERY
Cross-Stack Engineering for AI Features
Contributed to international digital products across frontend, mobile, server-side and AI-adjacent engineering tasks.
- React/Next.js and Node.js contributions alongside Flutter delivery
- API-based integrations and coordination with backend and product teams
- Technical specifications, troubleshooting, testing and release workflows
React / Next.jsNode.jsTypeScript / JSREST
▥
ENTERPRISE APPLICATION ARCHITECTURE
Scalable Architecture & Production Quality
Engineering foundations that make AI-enabled and conventional applications easier to evolve, monitor and maintain.
- Clean Architecture, SOLID and modular application boundaries
- Unit, widget and integration testing, code review and CI/CD
- Authentication, diagnostics, performance improvements and production support
Clean ArchitectureTestingCI/CDCode review
◇
BANKING · PAYMENTS · INTEGRATIONS
Financial Product Integration Experience
Delivered software for complex banking and payment scenarios, bringing domain knowledge to systems with demanding integration requirements.
- Mobile journeys for Pix, QR-code transactions, cards and payment services
- REST API integrations, authentication and identity-verification SDKs
- Data validation and attention to predictable transaction states
BankingPixCardsFintech APIs
▧
DATA · CLOUD · APPLICATION SERVICES
Data Services & Cloud-Connected Applications
Connected application features with structured data, cloud-backed services and platform-specific capabilities.
- Firebase, Firestore and SQL/NoSQL technology familiarity
- Local caching, API-backed data flows and third-party integrations
- Cross-platform delivery across Android, iOS, web and desktop
FirebaseSQL / NoSQLCloud APIsData flows
◎
TEACHING · TECHNICAL COMMUNITY
Software & AI Knowledge Sharing
Created technical educational content covering software development, Flutter/Dart and practical AI engineering concepts.
- 52K+ YouTube subscribers and 500+ Flutter/Dart technical videos
- Developer education about tools, APIs and the mechanics of AI-enabled systems
- Practical explanations of software engineering for a Portuguese-speaking audience
Technical educationAI engineering conceptsYouTubeDeveloper community
03 / EXPERTISE
Technical toolkit.
A practical software engineering toolkit: Python, AI integrations, modern APIs, full-stack delivery and quality practices.
01
Python & software foundations
PythonJavaScript / TypeScriptNode.jsREST APIsJSON payloadsAPI integrationsData processingAutomation scriptsBackend-oriented workflowsGit / GitHub
02
Applied AI & LLM integration
LLM APIsPrompt-driven product flowsAI-assisted content generationTool / function callingStructured outputsExternal API toolingAuthentication patternsChatGPT / GPT APIsAI product integrationNLP fundamentals
03
Full-stack applications
React / Next.jsFlutter / DartCross-platform appsUI + API integrationFirebaseReal-time / data-backed appsComponent architectureMobile / web deliveryProduction troubleshootingTechnical documentation
04
Architecture & quality
Clean ArchitectureSOLID · Clean CodeMVC / MVVMModular designTDDUnit testingIntegration testingCode reviewsCI/CDPerformance optimization
05
Data, cloud & integrations
PostgreSQL / MySQLMongoDBCloud FirestoreFirebase servicesSQL / NoSQLREST / GraphQLOAuth-style integration conceptsCaching & persistenceCloud-backed featuresSecure API boundaries
06
Product domains & collaboration
AI-assisted creator toolsFinancial applicationsPix & card integrationsMobile product engineeringCross-functional deliveryRemote international teamsTechnical leadershipAgile / ScrumMentoringProduct-to-production delivery
04 / HOW I WORK
Beyond the code.
01Build useful AI features
Connect AI services to real user workflows with clear input/output contracts and reliable integration.
02Engineer the foundations
Maintainable APIs, architecture, tests, logging and deployment matter as much as a good prompt.
03Think across the stack
Combine UI, backend integration and product understanding to make applied AI useful in production.
Let's build useful AI-powered software.
Hiring for Python, applied AI, LLM integrations or full-stack software engineering? Let’s connect and discuss the role.