Backend & ML engineer | Software developer | Freelancer
Joined November 2016
- Tweets 496
- Following 145
- Followers 72
- Likes 684
35 Photos and videos
Pinned Tweet
Built an AI assistant trained on supabase’s documentation that answers customers questions in seconds!!
#buildinpublic #supabase #tech
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sometimes i spend 3 hours writing SQLAlchemy migrations and zero hours doing anything that sounds cool on twitter. nobody posts about the migration files. but that's where the real work lives.
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As a freelancer in the tech space, what do you do to get paying clients.
It’s like I’ve exhausted everything, from contra to Fiverr, Upwork, LinkedIn, indeed.
It’s almost like I’m doing something wrong
Any suggestions please, I’d appreciate them
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you can just build things.
build a RAG pipeline from your room in Lagos. ship a SaaS across 4
platforms with no cofounder. train a model to catch vessel anomalies on real port data at 91%.
you can just do things.
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Building in AI SaaS dev tools, always open to connecting and sharing ideas
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the solo founder pipeline:
write the backend. train the model. build the API. dockerize it. deploy it. then open your inbox and do sales.
nobody told me the hardest part of running a studio would be context switching between pytorch and invoices.
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built calendo from my room in lagos. no cofounder, no funding. just fastapi, supabase, and too much garri. it's live across 4 platforms now and real people use it. still feels unreal
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i have a live Saas in production, a studio that builds ML systems for clients, and 70 followers. something doesn't add up.
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quietly built a SaaS on the side. Calendo. schedule posts across 4 platforms from one calendar.
draft to published workflow, analytics, CSV export. FastAPI Supabase Next.js.
it's live. go try it right now.
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Everybody thinks ML engineering is training models and watching accuracy go up. bro 80% of my time is cleaning data that looks like it was typed with elbows
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things i've shipped as a backend & ML engineer:
- RAG pipeline for Supabase docs
- Calendo, a live SaaS across 4 platforms
- EB-1A petition analyzer
- SMS spam classifier w/ DistilBERT
just getting started.
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Starting out in the tech space as a newbie is so hard, where do you even begin?
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Built an AI assistant trained on supabase’s documentation that answers customers questions in seconds!!
#buildinpublic #supabase #tech
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Built an AI support assistant trained on Supabase's documentation. Asks a question, gets a grounded answer with the exact docs link in seconds. FastAPI Chroma Gemini RAG pipeline. Live: supabase-support-bot.onrende… — and I can build the same for your SaaS docs.
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Drake putting out 3 albums at midnight. Lucki I’ll get to you next week😔
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