Kashif did a great Python job for us. I appreciated his attitude, quality of work and speed very much. It was a great experience working with him.
Pavol Sikula
AskBrian GmbH
Product, engineering, and execution for teams that need a clear next step
There are four main ways I help: shaping and shipping MVPs, auditing and stabilizing AI-generated codebases, advising on product and architecture decisions, and building search-driven growth systems.
Trust Signals
What clients noticed in the work
Before picking a service, here are two of the themes that show up repeatedly: quality, speed, communication, and follow-through.
Great quality of work, adherence to schedule and communication. I'm sure we will work together again.
Armen Karamanian
3711 Partners LLC
Service Paths
Choose the path that matches the bottleneck
Some teams need a builder. Some need an audit. Some need senior judgment before delivery drifts. The right starting point depends on what is actually blocking progress.
Launch an MVP without avoidable debt
Scope the right first version, make the key product and technical decisions early, and ship fast enough to learn from real users.
Best for: founders validating a new product
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Turn an AI-generated prototype into a production-ready system
Start with a fixed-scope AI Codebase Audit, then decide whether the product needs cleanup, hardening, or a larger rebuild path.
Best for: Lovable, Bolt, Replit, or Cursor apps
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Get senior judgment before complexity compounds
Get senior product and architecture judgment before roadmaps drift or delivery mistakes become expensive to undo.
Best for: teams with product or technical uncertainty
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Build search-driven growth systems that compound
Build the data, templates, and publishing system behind landing pages that can scale search acquisition without thin content.
Best for: products with content-led acquisition
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Popular Starting Point
AI Codebase Audit
If you already have a Lovable, Bolt, Replit, Cursor, or Claude Code app and nobody fully trusts the codebase, this is the easiest place to start.
Fixed scope. Clear deliverables. Architecture review, technical debt assessment, security review, refactoring roadmap, and delivery risk assessment.
Timeline: 2 business days
Deliverable: written risk report and fix plan
Best for: early products with unclear technical risk
Ways to work together
The right structure depends on where the bottleneck really is and how closely the work needs to sit with your product and engineering decisions.
Fractional product engineering
For founders and small teams who need senior technical judgment and execution a few days each week.
Project-based builds
For MVPs, product rebuilds, codebase cleanup, or focused delivery work with a clear scope.
Embedded collaboration
For teams that need someone to own a workstream closely with internal stakeholders and developers.
Selected work
One example here is enough to show the shape of the work. The case studies page can carry the deeper archive.
Flagship Case Study
Halal Code Check
Built and grew a privacy-first product with OCR, analytics, trust messaging, and measurable iteration after launch.
20k+ monthly visitors 20+ countries OCR + analytics
Read case study Not sure which kind of help fits?
If the problem spans product, engineering, and execution, that is usually a sign we should talk first.
Talk through your project