Akhielesh
builds AI products
that hold up
past the demo.
Five years from data to AI products. I ship on weekends and host what I ship — Atlas and DreamStream Studio are the proof.
Things I've built and hosted.
A mix of shipped AI products and weekend experiments. The ones I'm proud of make their tradeoffs visible instead of hand-waving over them.
Five years of moving
data — and now products.
Day jobs that built the foundation: ETL, profiling, dashboards, automation. Click any row for the receipts.
The kit, table-style.
No mastery meters. Just what I actually reach for.
Notes from the work.
Field notes from building Atlas, DreamStream Studio, and the data years. These are the working titles — long-form versions are landing soon.
ComicForge: queue-backed creativity
From ETL to AI product, slowly
Right now.
What I'm working on, reading, and avoiding — updated when reality shifts.
The setup.
Tools, keys, and pixels that ship the work.
editor
- Cursor
- VS Code
- Vim (for the muscle memory)
languages
- TypeScript
- Python
- SQL
ai
- Claude
- Gemini
- Flux for images
runtime
- Cloudflare Pages
- Railway
- Supabase
- Postgres + Redis
machine
- MacBook Pro M-series
- 27" external
- Vortex Race 3 (Cherry Brown)
desk
- Notebook + Pilot G2 0.5
- One cup of strong coffee · always one
Half-built things.
Side experiments, all public on GitHub. Some will graduate; some are deliberately just vibes.
sourcevault
elements
keystroke-analyzer
drone-simulator
Let's talk.
Best for AI product, full-stack, and platform-y data roles. Also for random ideas at 2am.
tell me
what
you're
building.