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What I do

Engagements built around your problem, not my stack.

Three ways to work with me. Pick the one that matches the shape of your problem and your timeline.

PLAN / 01

Sprint

Fixed scope · 4 weeks
from $8k

One narrow problem, one shipped solution. Best for: 'we need a working RAG/chatbot/forecast model and we need it before next quarter.'

  • Discovery & written brief
  • Working prototype on real data
  • Eval pipeline + observability
  • Documented handover to your team
Best for:AI startups, agencies, founders building MVPs.
PLAN / 02
Most picked

Embedded

Fractional · 3 mo min
from $14k / mo

I work as your part-time AI engineer. 2–3 days a week, deep in your codebase, in your standups, on your Slack.

  • 20–30 hrs / week
  • Architecture, code, hiring help
  • Direct access on Slack/Linear
  • Weekly written status
Best for:Series A/B teams without an in-house ML lead.
PLAN / 03

Advisory

Fractional · async
from $4k / mo

Ongoing technical advisor. Code reviews, architecture calls, vendor selection, hiring panels.

  • Bi-weekly 60-min calls
  • Async Slack / async review
  • Architecture decision docs
  • Hiring & vendor support
Best for:Founders who need a senior brain on call.
Capabilities

Everything I build.

Not every project needs all of these. The discovery call narrows it down.

CAP / 01

AI chatbots

Customer support, internal helpdesk, knowledge concierge.

For when:Your support team is drowning in repeat questions.
CAP / 02

RAG systems

Search & chat grounded in your contracts, docs, code, tickets.

For when:Your data is locked in 6 different SaaS tools.
CAP / 03

AI agents

Multi-step workflow agents that book, draft, classify, escalate.

For when:Hiring ops people to do work an agent should do.
CAP / 04

LLM apps

Custom copilots, assistants and chat experiences with eval & streaming.

For when:Prototype works in dev, breaks in production.
CAP / 05

ML model dev

Forecasting, scoring, ranking, classification — trained on your data.

For when:You have data. You don't have a model running on it.
CAP / 06

MLOps

Deployment, eval pipelines, monitoring, cost & retrieval-quality dashboards.

For when:Your AI feature degraded and nobody noticed.
CAP / 07

AI consulting

Architecture reviews, vendor selection, build-vs-buy, hiring panels.

For when:You're about to spend 6 figures on the wrong stack.
CAP / 08

Fractional AI lead

Embedded part-time or full-time. Ship code, hire, set the roadmap.

For when:You need a senior AI hire — but not for 12 months yet.
Frequently asked06 / questions
How fast can you start?01 / 06

I usually have one slot opening per month. The earliest is typically 2–3 weeks out — but I always reply within 24 hours so we'll know quickly.

Do you work with non-technical founders?02 / 06

Most of my clients are non-technical or technical-but-not-AI. I write the brief in plain English and translate it into engineering. That's half the job.

Can you white-label for my agency?03 / 06

Yes — about a third of my work is sub-contracted through agencies. I'll show up under your brand, your client never sees my name unless you want them to.

Do you take equity?04 / 06

For early-stage companies, partial-equity engagements are possible after the first paid sprint. I won't do equity-only.

What stack do you use?05 / 06

Whatever fits. Usually: Python, FastAPI, Postgres, Pinecone or pgvector, OpenAI/Anthropic/open models, LangGraph or hand-rolled orchestration, Modal/Render/AWS for serving. Stack follows the problem.

Do you sign NDAs?06 / 06

Always, before any code or data is shared. The discovery call doesn't require one.

Book a call

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.

[ Response ]

Within 24 hours

[ Timezone ]

GMT+5 · flexible

[ Discovery ]

Free · no NDA needed

[ Engagement ]

From $8k / 4 wks