I enjoy building practical software solutions across backend development, APIs, integrations, automation, and AI-powered applications.

I like working through the complete problem-solving journey — understanding requirements, designing solutions, building and integrating systems, testing edge cases, and improving reliability.

• 🔹 Building and working with REST APIs, integrations, and backend systems
• 🔹 Exploring and developing GenAI / LLM-powered applications
• 🔹 Designing and optimizing prompts and AI workflows
• 🔹 Working with APIs, tools, structured data, and contextual information
• 🔹 Testing AI applications for hallucinations, edge cases, and unexpected behaviour
• 🔹 Designing fallbacks and validation strategies for more reliable AI applications
• 🔹 Translating business and technical requirements into practical solutions
• 🔹 Enjoying the process of learning, experimenting, building, and improving

• REST API development and consumption
• API integrations
• Request / response handling
• JSON-based data exchange
• Authentication & authorization concepts
• Integration testing and troubleshooting
• Working with third-party APIs and services

• Prompt engineering and optimization
• LLM application workflows
• Tool / function-based interactions
• Context and knowledge preparation
• Structured data sources
• Hallucination testing
• Response validation
• Fallback and error-handling strategies
• AI application testing and iteration

I like working across the complete lifecycle of a technical problem:

Understand the Problem
        ↓
Understand Requirements
        ↓
Design the Solution
        ↓
Build / Integrate
        ↓
Test & Debug
        ↓
Handle Edge Cases
        ↓
Improve Reliability

• Advanced backend development
• API and system design
• GenAI / LLM application development
• LLM evaluation and reliability
• AI agents and tool-based workflows
• System design and scalable architectures

I'm always interested in discussing software engineering, APIs, integrations, GenAI, LLM applications, automation, and interesting technical problems.

Build. Learn. Experiment. Improve.