I fix LLM systems that aren't ready for production.
More time firefighting your LLM stack than shipping?
AI product idea but not sure the tech can do it?
Evals not matching real traffic? Inference over budget? Pipeline breaking under load?
I can help. My background →
Get a free teardown of your LLM stack →
15-minute call + written report. Yours to keep no matter what.
March 1 — April 30
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Fully booked Partially booked ◐ Weekends / personal ◐ ◐ = flexible scheduling
Mar
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Apr
Fully booked Partially booked ◐ Weekends / personal ◐
◐ = flexible scheduling
How it works
- 15-minute diagnostic (free): Your stack, your pain points.
- Written audit (free): Actionable recommendations. Yours to keep.
- Implementation sprint (optional, paid): I embed with your team to ship the fixes.
- Ongoing advisory (optional, paid): Async access for architecture and code review.
Paid work starts after scoping and mutual fit.
Is This You?
- Zero to one. Validate the LLM tech before you commit.
- No evals. Objective quality control for your LLM pipeline.
- Costs out of control. Optimize your inference. Maximize efficiency.
- Brittle pipeline. Runs unattended after I'm done.
- Fine-tuning. End-to-end, including data curation. No dead ends.
- Prompt-only. Systematic prompt search, structured outputs.
Get a free teardown of your LLM stack →
15-minute call + written report. Yours to keep no matter what.
Not a fit?
To be upfront about where I'm not the right call:
- Frontend or design. Better spent on a specialist.
- Staff aug. Focused engagements only.
- Pre-revenue. Senior rates. Consider a junior contractor first.
Who am I
Bootstrapped an AI-native B2B SaaS to paying customers.
Previously Data Scientist II at Microsoft Azure Core.
Prefer email? prabal@rjeinc.ca