I help founders ship production AI that actually makes money.
Twelve shipped engagements across support automation, legal AI, forecasting and internal copilots. I turn AI from a deck into production systems that move revenue, margin, speed and headcount.
Projects that moved numbers.
Three engagements where AI moved a real business metric. Click through for the brief, architecture, and the numbers.
From a 14-person support queue to a 24/7 medical knowledge agent.
Replaced a brittle FAQ chatbot with a RAG system grounded in their internal protocols, EHR notes, and policy docs. Survived a 10× spike in queries during open enrollment with no degradation.
An agent that drafts contracts in 90 seconds — and won't hallucinate a clause.
Designed a multi-agent workflow with a strict tool-use contract, citation-grounded retrieval, and a human-in-the-loop checkpoint. Replaced two paralegal contractors and shipped on a 6-week timeline.
A forecast model that finally beat the founder's gut.
Built an end-to-end demand forecasting pipeline — feature store, training, eval, and a Slack-native interface. Founders went from quarterly buy decisions to weekly, with full confidence intervals attached.
Pick the outcome. I'll bring the stack.
Clients don't buy LangGraph or Pinecone. They buy chatbots that resolve, agents that ship, and models that earn their compute. Here's what I deliver.
See engagement optionsAI chatbots
Customer support, internal helpdesk, knowledge concierge.
RAG systems
Search & chat grounded in your contracts, docs, code, tickets.
AI agents
Multi-step workflow agents that book, draft, classify, escalate.
LLM apps
Custom copilots, assistants and chat experiences with eval & streaming.
ML model dev
Forecasting, scoring, ranking, classification — trained on your data.
MLOps
Deployment, eval pipelines, monitoring, cost & retrieval-quality dashboards.
AI consulting
Architecture reviews, vendor selection, build-vs-buy, hiring panels.
Fractional AI lead
Embedded part-time or full-time. Ship code, hire, set the roadmap.
A senior hire — without the headcount.
I'm a machine learning engineer who's spent the last five years shipping AI systems for funded startups, agencies and product teams. Before that, research labs and a stint in classical ML.
I work the way a good senior hire would: write a brief, build the prototype, ship the production system, document it, and either hand it over or stay on. No discovery calls that don't go anywhere. No 80-page proposals. No reselling of someone else's work.
If you've got a problem and you're not sure whether AI is the right tool — I'll tell you, on the first call. The best work comes from saying no to the wrong projects.
From the people who hired me.
Three quotes that capture how I actually work — and what clients say when the project is over.
We'd burned six months and two contractors on this before Talha. He shipped a production RAG system in seven weeks and our support deflection rate jumped from 14% to 92%. He just gets it.
Most engineers hand you a pile of code and a Notion doc. Talha hands you a system, an eval harness, and a one-pager your CTO can actually read. Best money we've spent.
I came in skeptical of AI. Talha did a one-week paid discovery, told me what wasn't worth building, and shipped the one piece that was. Founders, hire him.
Four steps. No bait-and-switch.
Most AI projects fail because they jump from a slide deck to a hire. I run a process built for de-risking spend before you commit headcount.
Discovery — 1 week, free.
We get on a call, you show me your data and the problem. I come back with a written brief: what's actually buildable, what isn't, what it costs, what it'll move.
Prototype — 2–3 weeks.
Working system on real data. Not a demo. Not a Streamlit toy. Something your team can poke at, break, and form an opinion on.
Production — 4–10 weeks.
Eval pipelines, observability, cost guardrails, retrieval-quality dashboards. The boring infra that keeps AI alive after launch.
Handover or retainer.
Either I document everything and your team takes over, or I stay on as fractional AI engineer at a predictable monthly. Your choice.
Got a problem AI might solve?
30 minutes. Free. You leave with a clear yes/no on whether to build, and a one-pager you can forward to your team.