From Idea to Production-Ready AI, Engineered to Scale
David Kushner
MCA Defense Group, United States
“Amazing to work with. Goes above and beyond. A true master in his field. I wasn’t even sure the AI project I asked about was possible, sure enough it came to life. In addition, I will be using his skills and services on future projects I never imagined would be possible through automation and AI. Many other tools I don’t know about to list. All I know is if I think of anything in the future, this is where I will return. 100% recommend.”
11+ happy clients on
28+ projects delivered, every review verified on
Our Expertise
Five practice areas, one standard: it runs in production, or it isn't done.
Advanced machine learning models, deep learning networks, and computer vision systems that learn and adapt to solve complex, real-world problems.
Use Large Language Models to build chatbots, autonomous agents, and retrieval-augmented systems that reason over your own data.
Intelligent web scraping, browser automation, and scheduled workflows that scale with your business needs.
Build data pipelines and analytics platforms that turn raw, messy data into reliable insights you can act on.
Modern, responsive web applications built with current frameworks and deployed on scalable, cloud-native infrastructure.
How We Work
No account managers, no handoffs between teams. The people who scope your project are the ones who build and ship it.
One call to pin down the problem, the stack, and a realistic timeline, then a written scope and fixed quote. No discovery phase that drags on for weeks.
You see working versions as they're built, not a single reveal at the end. Most AI MVPs land in under two weeks; larger production builds run four to eight.
Deployed to production and handed to your team with documentation, not left behind in a staging demo.
Fixes and small tweaks covered for 30 days after launch, so handoff isn't a cliff.
Real Results
Numbers from projects we've shipped, not vanity metrics
80%
A court-case data extraction pipeline that filters, enriches, and exports leads automatically, replacing hours of manual review per batch.
View Portfolio4x
A K-Means assignment engine that replaced manual dispatch and scaled a delivery fleet from ~1,000 to ~4,000 orders a day.
View Portfolio99%
A multi-region grocery data pipeline across five major retailers, powering a client's pricing and analytics product with no manual research.
View PortfolioTechnology Stack
No stack roulette. These are the tools we reach for every day, and know the failure modes of.
Meet the Team
The people behind every Jiddat Labs delivery
Founder & Lead Developer
Leads AI/ML systems, LLM & RAG pipelines, web automation, and full-stack application projects from start to finish.
AI Engineer | Vibe Coding Specialist
Builds AI chatbots, automations, and websites with Shopify, Next.js, and n8n, connecting CRM, Slack, and email into fast, reliable systems that cut manual work.
Business Analyst | Data Analyst
Handles data preprocessing, cleaning, visualization, and analysis, turning raw data into business insights with Tableau, Power BI, RapidMiner, and IBM SPSS.
What Clients Say
Real feedback from Upwork and Fiverr clients
Really great work on this program. It tracks specific cigars accurately and pulls useful data from listings without any issues. The way it analyzes historical pricing and assigns value scores makes it genuinely useful for spotting good…
Amazing to work with. Goes above and beyond. A true master in his field. I wasn’t even sure the AI project I asked about was possible, sure enough it came to life. In addition, I will be using his skills and services on future projects I…
Really solid delivery and super professional. A pleasure to work with.
Inaam communicated clearly and promptly, ensuring smooth collaboration. He displayed strong programming skills, delivering exactly what was needed.
Second order. He is the best at what he does. I will be back for more.
Great working with Inaam.
Delivered as requested, on time, and with excellent communication throughout. Would gladly collaborate again.
Inaam was really easy to work with. Communication was great and he is very flexible and easy to work with. Completely understood what I needed.
One of the best freelancers that I have worked with, I strongly recommend Inaam for scraping and automating the scraping process.
Inaan did a fantastic job creating a bot for me! He was professional, responsive, and really knew what he was doing.
He understood the oroject so fast and was okay with any modification I asked to do..
Pricing
Straightforward rates and honest timelines. Get a fixed quote after a free scoping call.
$40/hr
We start within 2–3 business days
For ongoing work, quick fixes, or tasks that don't fit a fixed scope.
From $1,000
Most builds ship in 1–4 weeks; AI MVPs in under 2
For scoped builds: websites, AI systems, automation, and more.
$3,000/mo
Onboarded in ~1 week, then two-week sprints
A dedicated pod working through your roadmap month after month, instead of one project at a time.
Free to ask
Written quote back within 1 business day
Need something that doesn't fit hourly or project pricing? Tell us the scope and we'll send back a written quote.
Frequently Asked Questions
Cost, timelines, ownership, and how we work with overseas teams.
Our engineering team is in Lahore (UTC+5), with a US presence in State College, Pennsylvania. That gives us near-full working-day overlap with European clients and a live window every US morning for calls, standups, and demos. We work asynchronously by default — you get written updates and a working deployment to look at, not a status meeting.
Hourly work is $40/hr with no minimum commitment. Scoped projects start at $1,000, with a fixed price agreed after a free scoping call. What drives the number is data readiness, how many systems we have to integrate with, and whether you need a prototype or something that runs in production under load. You get the fixed quote in writing before any work starts.
You send us your site, stack, or the manual process you want fixed. Within three business days we send back a recorded five-to-ten minute walkthrough, a ranked list of AI and automation opportunities with rough effort and cost for each, and an honest list of the things you should not automate because a cheaper fix exists. There is no call required and no obligation. The only catch is capacity: audits take us real hours, so we run a handful at a time and will tell you if we're backed up.
Yes. Our Dedicated Team plan is $3,000 per month for a pod of two developers and a delivery manager working through your roadmap, with a working demo at the end of every two-week sprint. It runs month to month with no annual lock-in, and it's the better fit when you have a continuing backlog rather than one scoped project. For a single defined build, project pricing from $1,000 usually works out cheaper.
Most MVPs ship in under two weeks — a working, deployed system you can put in front of real users, not a slide deck. Larger production builds with heavy integration or compliance requirements run four to eight weeks. We scope the timeline on the first call and tell you upfront if your deadline is not realistic.
Use RAG when the answers live in documents that change — policies, product docs, tickets, research. RAG retrieves the current source at query time and cites it, so updating the knowledge means updating the documents, not retraining. Fine-tune when you need to change how the model behaves — a specific format, tone, or classification task — rather than what it knows. Most business use cases we see are RAG problems, and a well-built RAG pipeline is cheaper to run and far easier to audit.
Yes. Most of our work is embedded in systems someone else started. We read the codebase first, match your existing conventions and stack rather than importing our own, and deliver in reviewable pull requests. If you have an in-house team, we work alongside them; if you don't, we hand over documented code your next hire can pick up.
You own all code, models, and deliverables outright once the final invoice is paid. We sign your NDA before scoping — send yours over, or we'll provide one. We do not reuse client code across projects, and your data is never used to train models we ship to anyone else.
Thirty minutes with the person who would build it, not a salesperson. We work through the problem, sketch an approach, and tell you the likely cost and timeline before you commit to anything. If your project isn't a good fit for us, we'll say so on that call and point you somewhere better.
Book a Call
30 minutes, no cost, no obligation. Let's talk through your project.
Not ready to talk yet? Get a free AI audit instead — we'll send a written walkthrough within 3 business days, no call needed.