For B2B SaaS founders & marketing agencies

Ship AI features & automation systems
without hiring a full team

I build practical AI tools, internal dashboards, and automation pipelines that reduce manual work, unlock insights, and move your product faster.

A simple offer that founders say “yes” to

Productized services designed for speed, clarity, and outcomes.

AI Internal Tools

RAG apps, knowledge assistants, reporting copilots

  • Vector search + connectors
  • Role-based access
  • Evaluation & monitoring

Automation Systems

Replace manual work with reliable pipelines

  • ETL + scheduled jobs
  • Integrations
  • Alerts & observability

SaaS Feature Delivery

Build + ship product features quickly

  • APIs + backend services
  • Performance + caching
  • Testing + docs

Agency White-Label

Dashboards & AI utilities for your clients

  • Client portals
  • Analytics dashboards
  • Automation utilities

Is this a fit?

Quick honesty check so you don’t waste time. If you’re in the “fit” column, a short call is usually enough to scope the fastest path.

Great fit if…

  • You want to ship an AI feature (RAG/LLM) into a real product with clean APIs and guardrails.
  • You have manual ops/reporting and want reliable automation (ETL, integrations, alerts).
  • You need a senior builder who can own architecture, deliver fast, and document the handoff.
  • You want weekly demos + async communication (low meeting overhead).

Not a fit if…

  • You need “cheap dev hours” without ownership, planning, or engineering standards.
  • You want a vague AI prototype with no deployment, monitoring, or security requirements.
  • You need 24/7 on-call support (I’m best for build + handoff, or a defined support retainer).
  • You don’t have access to the tools/data needed to build (or can’t provide it during the project).

Proof: systems I build in the real world

Representative builds. Deeper breakdowns available on call.

🤖
RAG Knowledge System
FastAPI • Vector DB • Monitoring
Ingest + search doc sets
Secure access + clean APIs
Caching + reliability
📊
Agency Reporting Dashboard
Integrations • KPIs • Automation
Pull data from tools
Auto-generate reports
White-label ready
🕷️
Data Extraction Engine
Scrapy • Scheduling • Validation
Large-scale pipelines
Quality checks
Alerts & runs

Good questions to ask me

If you’re evaluating builders, these questions tell you quickly whether the project will ship cleanly and stay maintainable.

“How will you evaluate the AI output?”
We define test cases, quality metrics, and monitor drift after launch.
“What happens after v1 ships?”
You get docs, handoff, and an option for a small support/iteration retainer.
“How do you keep systems reliable?”
Observability, alerts, retries, idempotency, and clear failure modes.

What you get (so it doesn’t break later)

  • Clean architecture + readable code
  • Deployment notes + env setup
  • Tests where they matter most
  • Monitoring/alerts guidance (or implementation)
  • Weekly demos + async updates

How we deliver

Fast iterations, clean architecture, measurable outcomes.

1

Discovery

Define outcome, scope, and success metrics.

2

Plan

Architecture + milestones before heavy coding.

3

Build

Weekly demos, tight feedback loop.

4

Launch

Deployment, monitoring, and handoff.

Hi, I’m Muhammad Safdar (Mosafdar)

I build AI & automation systems for B2B SaaS teams and marketing agencies, designed to ship fast and stay maintainable.

I specialize in Python backends, data pipelines, RAG/LLM integrations, and automation systems that reduce manual work and improve decision-making.

Based in Pakistan, working globally with async-friendly communication and weekly demos.

FastAPI Django PostgreSQL Redis RAG/LLMs AWS ETL
Mosafdar

FAQ

Questions people ask before booking.

How do projects start?
We do a short call, then I send milestones + scope. Most projects start within days.
What does a typical timeline look like?
Most builds ship in 2–6 weeks depending on scope. You get weekly demos and a clear checklist to launch.
Do you work with existing codebases?
Yes. I can extend or refactor existing systems, add tests, improve reliability, and ship new features without breaking production.
Can you integrate AI safely (privacy, access, logging)?
Yes. We define data boundaries, role-based access, safe prompting, redaction where needed, plus monitoring/evaluation for outputs.
What if I’m not sure what I need yet?
That’s common. On the call we clarify the outcome, identify constraints, and pick the smallest version that delivers measurable value.
How do payments work?
Usually milestone-based. You approve scope, we ship in weekly increments, and you always know what’s next.
Free strategy call (15–25 mins)

Tell me what you’re building and I’ll suggest the fastest path to impact

Fill the form and I’ll reply with next steps.

© Mosafdar AI & Automation Studio