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Developed scalable Golang microservices and REST APIs for workflow automation, backend integrations, and incident orchestration systems.
Worked on:
• REST/gRPC API development using Gin & Gorilla Mux
• JWT authentication and request validation
• Concurrency implementation using goroutines and worker pools
• Cron jobs and backend workflow automation
• Docker-based deployment and CI/CD integration
• API optimization and monitoring using Splunk/AppDynamics
Tech Stack:
Golang, Gin, Gorilla Mux, Docker, MySQL, Redis, gRPC, Azure DevOps, Git
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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The hardest part wasn't building the game. It was making it PLAYABLE. 🎮
While building Shadow Heist, I hit errors that broke the game, interrupted missions, and forced me back into debugging more times than I expected.
But that's where the real development happened.
I fixed the issues, tested the gameplay, pushed through the final mission, and turned the idea into something people can actually play.
Build. Break. Debug. Fix. Repeat.
That's what development really looks like behind the screen.
What's the toughest bug you've ever had to solve? 👇
#WebDevelopment #GameDevelopment #JavaScript #FullStackDevelopment #BuildInPublic
Toughest for me was a rich text editor that swallowed the first keystroke when it took focus. No error, no crash, the text just published with the first letter missing. It stayed hidden a while precisely because nothing failed loudly. Now I read the field back before submitting....
Built the architecture behind Dervale, a multi-tenant AI gateway designed to give applications one unified API for working with multiple AI providers.
The platform is built around a Java + Spring Boot backend with:
• OpenAI-compatible API access
• Multi-provider routing and fallback
• JWT authentication, API keys, workspaces and RBAC
• Usage metering, budgets, quotas and rate limiting
• PostgreSQL + Redis for persistent and runtime data
• Request, audit and security logging
• Cost, token and latency observability
• Response caching and guardrails
• Billing and account controls
The goal was to make AI infrastructure easier to operate: one gateway for routing, governance, observability and access control instead of implementing each provider independently.
This architecture was designed with maintainability, tenant isolation and future provider expansion in mind.
Stack: Java, Spring Boot, React, PostgreSQL, Redis, Docker
From PHP Developer to building AI-powered workflows
I started my career as a backend developer, working with PHP, Laravel, Symfony, APIs and relational databases.
Over time, I realized that I enjoy more than just writing code — I enjoy figuring out how technology can make a business process faster and simpler.
That led me to explore automation and AI.
Recently, I've been building workflows with n8n, AI models, external APIs, Telegram, cloud storage and social media platforms to automate repetitive business processes.
Now I'm focused on combining both sides:
- building reliable web applications
- integrating APIs and external services
- automating repetitive workflows
- using AI where it actually saves time
I'm currently looking to work with businesses and teams that have a process that could be automated or a product that needs to be built.
Always happy to connect and exchange ideas.
