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For the first time in a while, my calendar looks unusually empty.
My last software engineering contract has come to an end, and instead of immediately jumping into the next role, I’ve been thinking about the kind of work I actually want to do next.
I’ve realized that some of my favorite projects weren’t necessarily the biggest ones.
They were the ones where there was a real problem to solve.
A backend struggling as the product grew.
An API that needed to be redesigned.
A feature everyone wanted but nobody had time to build.
An existing codebase that needed someone to understand it and move it forward.
That’s where I tend to do my best work.
My background is mainly in Python — Django, FastAPI and Flask — along with full-stack development, databases, cloud infrastructure, integrations and AI-powered features.
So, for the next chapter, I’m opening myself up to freelance and contract projects.
If you have a product that needs another experienced pair of engineering hands, I’d love to hear what you’re building.
And if we don't end up working together, I'm still always happy to meet another builder. 👋
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just shipped the core of Skillship — an AI-powered LMS built for schools.
One platform, many schools, and one rule that shaped every decision: School A must never see School B's data. Tenant-scoped models, filtered querysets at the base class, UUIDs everywhere.
Four AI features live:
— Career Pilot: personalised career paths for students
— Question generator: chapter PDF in, board-aligned MCQs out
— Adaptive quizzes: difficulty follows actual performance
— Semantic search: teachers ask in plain English, pgvector finds the material
Django + DRF for the LMS core, a separate FastAPI service for all AI work (Gemini + a pgvector RAG pipeline), Next.js 14 on the front. Django brokers every AI call — the AI layer never touches the browser.
The hard part wasn't the AI. It was making multi-tenancy boring enough that no future dev can leak a school's data by accident.
Open for new work — full-stack builds, AI integrations, RAG pipelines, multi-tenant SaaS. Send me a project.
The tenant boundary is where I'd put the first failure test. I'd try to make a user from one school retrieve another school's record before I trusted any of the AI features.
🚀 Available for Freelance AI/ML Projects
I’m currently open to working on interesting AI/ML projects — whether you’re building something from scratch or need help turning an idea into a working product.
I can help with things like:
• Machine Learning solutions
• AI/ML model development
• Data & predictive analytics
• Python-based AI applications
• FastAPI / API integration
• Automation and intelligent workflows
• AI features for existing projects
I enjoy working on real problems and building things that are actually useful, not just demo projects.
If you have an idea, project, or problem you’re trying to solve with AI/ML, feel free to reach out.
📩 Open to freelance projects & collaborations.
🔗 My work: https://github.com/Tejeshyewale
github.com
Tejeshyewale - Overview
Computer Engineering Student At PDEACOEM. Tejeshyewale has 102 repositories available. Follow their code on GitHub.
I’m just starting my journey on Contra. I specialize in creating digital ads for marketplaces and social media, with a strong focus on improving the quality and visual performance of ads for online sellers.
Does anyone have any tips on how I can land my first projects here? I’d really appreciate any advice. Thank you!
What got me my first few was posting before-and-after pairs rather than finished ads on their own: the original listing image next to yours, with one line on why the conversion should move. Sellers can't judge craft, but they can read a comparison instantly, and it says "I understand your problem" more than any intro post does.