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A few years ago, building software felt straightforward.
You needed a backend, an API, a database, and a deployment pipeline. Build it, test it, ship it.
Today, businesses want something more.
They don't just want APIs. They want intelligent systems.
They want applications that can think, automate workflows, interact with users naturally, analyze data, and make decisions with AI agents.
That's exactly where I help.
I provide high-performance backend development services using:
1. Django & Django REST Framework
2. FastAPI for lightning-fast APIs
3. PostgreSQL, Redis, Celery & scalable architectures
4. AI-powered applications and agentic systems using:
- LangChain
- LangGraph
- Crewe
- Multi-Agent Architectures
- RAG (Retrieval-Augmented Generation)
- LLM Integrations (OpenAI, Gemini, Claude, etc.)
Whether you're a startup building an MVP, a company automating business processes, or a founder with an AI product idea, I can help transform it into a production-ready solution.
My focus is simple:
1. Fast development
2. Clean architecture
3. Scalable backend systems
4. Reliable AI agent workflows
If you've been thinking about building an AI-powered application, automating complex tasks, or creating a robust backend for your product, let's connect.
The future belongs to software that doesn't just run, it thinks.
And I'm here to help build it.
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
Related posts
Meet Your AI Agent, my entry for the #GoogleStitchChallenge
It's an app for designing what your AI agent or bot looks like. The theme was "build interfaces that feel alive," so I made something where anyone can pick a body, face, head, and aura, name it, give it a personality, and watch their bot come to life. All with zero code.
How I built it with Stitch:
I started from one prompt describing the idea, then built it up conversationally. I added native motion (the bot floats, blinks, and powers up), an animated shader nebula background, and hover states. Whenever something was off, I didn't touch any code. I just pointed at the element on screen and edited it directly, or described the change in plain words.
What I loved: when it's done, Stitch lets you publish in lots of places like Google AI Studio, Figma, MCP, Bolt, Lovable, or Netlify. I chose Netlify because it's so easy to deploy on the web. One click and you get a live link to share.
Stitch features showcased: native motion, animation and shaders, in-place AI edits, and publishing to Netlify.
As someone who can't really code, Stitch never made me feel stuck. It turned an idea in my head into a real, interactive product in a single sitting.
Try it and design your own agent: https://meetmyaiagent.netlify.app/
Walkthrough video:👇
Built with @stitchbygoogle https://stitch.withgoogle.com/projects/6351891533339790820
Fun idea. Giving people control over the personality and appearance of their AI agent makes it feel much more personal than a typical chatbot experience. Curious which customization option people seem to spend the most time on?
I explored a different direction for the challenge:
https://on.contra.com/pnfJBQ
on.contra.com
Introducing Voya: Revolutionize Your Travel Planning Experience
Connect with next-gen talent and tools to get work underway. Hire more independents. Start more projects. Get more creative.
Designed an AI Coding Agent Heading, How is it?
Open for feedback🙌
Great job!
One of the most expensive AI mistakes isn't choosing the wrong model.
It's building without a way to measure success.
I've seen teams spend months building AI features only to discover:
❌ Users don't trust the outputs
❌ Accuracy isn't improving
❌ Costs keep increasing
❌ Nobody knows what's working
The best AI teams think about evaluation before implementation.
They define:
📊 Success metrics
🎯 Quality benchmarks
📈 Monitoring & observability
🔄 Continuous improvement loops
Because AI isn't a "set it and forget it" system.
It's a product that needs measurement, feedback, and optimization.
The companies winning with AI aren't just building faster.
They're learning faster.
And that starts with measuring what matters. 🚀
How does your team evaluate AI quality today? 👇
#AI #GenerativeAI #AIEngineering #LLMAgents #RAG #MLOps #ArtificialIntelligence #ProductDevelopment #FullStackDevelopment #SaaS #Contra
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