Forward Deployed AI Solutions Architect
YougetAIinproduction.Notanotherdemo.
Most AI work stalls between a promising demo and a system your business can actually run. I close that gap. I decide what is worth building, architect the right system, and get it shipped to production, secure and working, so you end up with a result instead of a roadmap.
What you get
You do not get advice you have to go execute. You get the system, in production.
Most engagements hand you a slide deck and a to-do list. Here is what each step actually delivers to you instead.
Step 01
A clear decision
You get a straight answer on where AI creates real leverage in your business, and where it does not. No build starts until the problem is worth solving.
Step 02
No wasted spend
You get an architecture chosen for what your problem actually needs, not the trendiest tool. Frontier model, open model, retrieval, or no AI at all. You stop paying for the wrong stack.
Step 03
A system that ships
You get the integration, schema, and security built and moving toward production, by me or your team under my direction. Not a prototype that dies in review.
Step 04
Stakeholder sign-off
You get the proposal, the security overview, and the rollout plan in language your buyers and reviewers actually approve.
Step 05
Production you own
You get a working AI system running in your business, documented and handed over. Yours to run, not locked to me.
The edge
The most valuable thing I can tell you is what not to build. That judgment is what keeps you from spending months on the wrong AI.
Selected outcomes
Differentdomains.Thesameresulteverytime:aworkingsysteminproduction.
Real-time audio AI, industrial diagnostics, healthcare data, private markets intelligence, job-search automation. Different problems, one outcome each time: AI that ships and runs.
Products I build and run
I carry the same build-to-ship problem I solve for clients, with my own money on the line.
Sometimes the value is telling you no
Told a founder the real blocker was product-market fit, not marketing, and to pivot the product before spending another dollar on outreach.
Chose a dual-prompt LLM over a custom computer-vision model, cutting build cost and time with no loss in accuracy.
Killed a fragile three-service design in favor of a single AI service, before the team built the complexity.
Proof
TwoyearsarchitectingAIinproduction.Aportfolioofshippedproducts.USclientswhonameme.
Read what clients say- 0110+ years across AI/ML engineering, product strategy, and go-to-market
- 02Forward-deployed architect across 200+ early-stage AI companies
- 03Helped ship 30+ AI products from idea to production
- 04Founder, Feedbird Inc. (Beaverton, OR)
- 05MS, Computer Science (AI/ML specialization)
- 06BS, Computer Science
- 07Google TensorFlow Developer Certified
- 08Published machine learning researcher (Applied Soft Computing, Elsevier)
Verified reviews
FoundersIhelpedgettoproduction,intheirwords.
Public, verified reviews from founders I worked with as their AI architect through AI Product Accelerator.
I came in doubtful about whether AI could deliver the intelligence my product needed, and left confident. Salman clearly explained what was possible and how to approach my product's intelligence layer realistically.
Salman was always available to provide the technical support I needed to build my product. He helped me validate ideas with a structured framework, assess product-market fit through real customer validation, and build only once market fit was established.
Salman's development skills are top-notch. Working on my AI platform, he showed deep technical knowledge and the ability to translate complex requirements into functional solutions. The quality of work exceeded my expectations.
Salman bridged the gap between AI potential and product reality. He pushed me to refine my thinking around product-market fit and build with more intention. Thoughtful and hands-on the whole way.
I'm building my AI product, getscentcheck, a fragrance authentication platform, and Salman has supported me every step. Strategy, technical education, and mentorship. After years in consulting and top tech, I know the real deal when I see it.
My project was unique and didn't exist in the marketplace. Salman helped me create a first-of-its-kind product for the entertainment industry, methodical the whole way from validation to implementation.
I came in a 20-year veteran of enterprise software and thought I knew how to build a product. Salman honed my idea at every stage, ideation, hypothesis, test and verify, before a line was built. I'm now launching my pilot.
Salman gave me a new appreciation for what it takes to build something worth building. Your idea has to stand up to live feedback, and the product gets sharper as your understanding deepens. That is where the breakthroughs happen.
Working with Salman, I turned a vague idea into clearer, more realistic goals. His guidance helped me understand my target users, my offer, and exactly what to focus on building next.
Contact
Tell me what you're trying to ship. I'll tell you what it takes.
I architect AI systems and get them into production. Bring the goal, not a spec. You will leave the call knowing whether AI is the answer, what to build, and what production actually requires.