AI product / Optifly
From a travel idea
to a usable plan.
An AI-native travel planning product that helps people compare options, organize their itinerary, and move from an idea to a plan they can use.
Explore the case
Founder-led AI implementation
by FahmidAI, put to work.
Custom AI products, agents, and automations for the way your business actually works.
Work directly with Fahmid—from finding the right problem to getting the system live.
30 minutes · No cost · Confirmed after review
Fahmid UddinProduct engineer & founder
Toronto / Working with teams
Toronto / Working with teams
01 / What we can build
Less busywork.
More useful systems.
Start with the bottleneck. Choose the technology once the problem is clear.
01AI automation
Give repetitive work a better way through.
Connect the tools your team already uses. Turn repeated document handling, reporting, and handoffs into a workflow people can actually rely on.
- Document workflows
- Operational handoffs
- Reporting & reconciliation
02Custom AI agents & products
Take a useful idea into a working product.
Build an internal assistant, an agent that works across your tools, or an AI feature your customers use. Define its boundaries, test its behavior, and make it manageable after launch.
- Internal assistants
- Custom applications
- AI product features
03CRM & sales automation
Keep the context moving with the deal.
Connect your CRM to the work around it: capture information, route handoffs, and keep records useful. Start with the steps your team repeats every week.
- CRM integrations
- Follow-up workflows
- Data cleanup & routing
04AI lead generation systems
Build a more useful prospecting workflow.
Bring research, enrichment, and qualification into a connected system. Keep human review where it matters, with sensible controls for data quality and outreach.
- Prospect research
- Enrichment pipelines
- Qualification systems
05Workshops & implementation planning
Work out what is worth building first.
Map real workflows with your team, identify practical uses for AI, and leave with a prioritized plan. Useful when there are plenty of ideas but no clear starting point.
- Workflow mapping
- Hands-on team sessions
- Implementation plans
02 / Selected experience
The work
behind the offer.
Founder-built products and embedded client work. Different problems, with Fahmid involved from the early decisions through delivery.
Built to be used
From a workflow
to working
software.
Useful AI is more than a response. It gives people a clear next step—and a product they can put to work.
Talk about your projectOptifly / AI Account Executive / Threshold Growth
AI Account Executive
Optifly / Compare the options
Threshold Growth
From a travel idea
Embedded product engineering
Moving an AI product forward.
As a fractional product engineer with AI Account Executive, Fahmid helped move the product from ambiguity through delivery, deployment, and continued iteration.
Role & approachWeb & client journeys / Threshold Growth
Turn an offer into a client journey.
Website and guided intake experiences, developed with stakeholder feedback and tested end to end. A connected path from understanding the offer to taking the next step.
View Threshold GrowthAI infrastructure / LegixAI
Make the system more practical.
RAG engineering work delivered approximately 15× lower cost and 20× faster performance in that project’s context.
More engineering experience03 / How it works
A clear path
from here to live.
You bring the business context. Fahmid brings the product and engineering work.
Request a project call- 01
Understand the work
Walk through the current process, the people involved, and what a useful improvement would look like.
A shared definition of the problem - 02
Agree on the scope
Choose a focused first version. Set deliverables, responsibilities, timeline, and price before implementation.
A proposal you can make a decision on - 03
Build with feedback
Review working software together. Test real situations and keep the team close to the decisions.
Visible progress and practical testing - 04
Deploy & hand over
Get the system live, document how it works, and agree on ownership and any ongoing support.
A system your team can operate
04 / The person doing the work
Hi, I’m Fahmid.
I build things
with people.
I’m a Toronto-based product engineer with 15 years of hands-on experience across frontend, backend, cloud, and product development.
My work takes me into the messy middle: understanding how a team operates, making the technical choices, and staying involved as the system gets used.
Applied is how I bring that experience to businesses that want a practical AI implementation partner. You work directly with me.
The full background05 / Before we talk
Good questions.
Straight answers.
What kinds of businesses are a good fit?
Founders and teams with a real operating problem, an owner for the project, and time to collaborate. You might be improving an existing workflow, testing a product idea, or adding AI to software you already run. You do not need a finished technical specification.
Will I work directly with Fahmid?
Yes. Fahmid leads discovery and implementation. The person discussing your workflow is the person responsible for building it. If a project needs additional specialist help, that is discussed as part of the scope.
How are projects priced?
Implementation projects start at $7,500. The first conversation is free. Once the problem and boundaries are understood, you receive a proposal with scope, deliverables, timeline, and a fixed price. Larger builds are quoted individually. Complex or uncertain projects may begin with a paid discovery phase. Ongoing support is optional and scoped separately.
Do we need AI for this?
Sometimes a straightforward integration or better workflow is enough. Discovery considers the simplest useful solution, including where AI adds value, where human review belongs, and what should stay manual.
What happens after launch?
Handover, documentation, and the agreed support period are defined in the proposal. If the system needs ongoing monitoring or improvements, a separate support arrangement can be agreed before launch.
Is my meeting confirmed when I choose a time?
No. You select a preferred time and share brief project details. Fahmid reviews the request before confirming the call. Cal.com sends the scheduling updates, and the meeting is confirmed only when you receive confirmation.
Have a workflow or product in mind?
Let’s make
it work.
Bring the problem. We’ll work out the next useful step.
Request a project callA free 30-minute conversation. Project requests are reviewed before confirmation.