
DailySiteLog
Daily site reports for construction teams.
- Turns a spoken summary of the day into a written report
- Stamps photos with a verified time and GPS location
- Produces a sealed PDF report for the client
- Works offline on site
I'm Haseeb Sagheer, an AI automation engineer in Pakistan. On my own I have built a construction reporting app, a chore app for shared homes, a medication reminder app, and a pipeline that turns a script into a finished video.

I take a job a person does by hand, over and over, and turn it into software that does it on its own. Then I ship it, so it is a product people can use and not a script on my laptop.
Design, app, database, billing, deployment and the store listing. One person.

Daily site reports for construction teams.

A chore app that splits housework fairly by effort.

Family medication reminders with caregiver alerts.
I started building these because I was doing the same editing steps for every video. The first one takes a script and returns a finished video.
The hard part of automated video is layout. A caption that lands on top of an image ruins the frame. Video Maker checks every overlay against the others before it renders, so text and images never collide.
Three kinds of work. Each one is backed by something I have already built, linked underneath.
A repetitive job turned into a pipeline that runs on its own: media production, posting, reporting, data entry.
Proof: Video Maker, CapCut Automation, Threads Content Pipeline
An assistant that answers from your own documents, with ingestion, retrieval and an API you can put behind any interface.
Proof: Ask Haseeb AI
A working product from idea to store listing: database, auth, billing, deployment.
Proof: DailySiteLog, Evenhaus, DoseAnchor
You describe the manual process or the product. I reply with what I would build, and what I would leave out.
I build the riskiest part first, so you see it working before the rest exists.
The work arrives in small running pieces instead of one delivery at the end.
You get the code, the deployment, and notes on how to run and change it.
I trained as a software engineer and started out building games for freelance clients on PC, mobile and VR. That taught me to finish things and hand them over working.
From there I moved into data science and machine learning, building models and deploying them behind APIs for clients.
Now I use both. I build automations with AI in the loop, and I ship them as products with real accounts, billing and store listings.
Self-employed. Designing, building and shipping my own products and AI automation tools, and taking client work in automation.
Upwork and direct clients. End-to-end machine learning projects, from data analysis to a deployed web service.
Fiverr, Level 2 seller. 100+ projects delivered and 66+ client reviews averaging 4.75 out of 5, including multiplayer systems, VR environments and backend integrations.
VisuarSolutions. Internship in software development.
Fiverr. Search engine optimisation work for clients, alongside my degree.
Capital University of Science & Technology, Islamabad
A published study on AI in education, and IBM's data science certificates.
A short introduction in my own words: where I started and what drives my work.
The video loads from YouTube when you press play.

Haseeb Sagheer is an AI automation engineer from Pakistan. He builds automation pipelines and ships software products on his own, including DailySiteLog, Evenhaus and DoseAnchor.
They turn repetitive work into software that runs by itself, often using language models and other AI tools for the steps that used to need a person. Haseeb’s examples are a pipeline that turns a script into a finished video and a tool that fills CapCut projects automatically.
Four products (DailySiteLog, Evenhaus, DoseAnchor and SwitchLess) and four automation tools (Video Maker, CapCut Automation, a Threads content pipeline and the Ask Haseeb AI assistant).
Yes. He takes on workflow and content automation, RAG assistants and LLM features, and MVP builds for web and Android.
Pakistan, UTC+5. He works remotely with clients in any time zone.
Python for automation and AI work, FastAPI for backends, React Native with Expo for mobile apps, and Supabase and Vercel for data and hosting.
Tell me what it is. I will reply with what I would build.