You will get an AI evaluation stack: hallucination detection and LLM-as-judge gating
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Project details
Shipping an LLM feature without an eval stack means your users are your QA team. You find out about hallucinations from support tickets, and about cost blowouts from your API invoice.
I design and build evaluation stacks for production AI features. This is not theory: I built one as sole engineer for a live AI platform, including fabrication detection, LLM-as-judge output gating, and cost-capability routing across multiple models (Anthropic Claude and OpenAI in production). That system decides, on every call, whether an output is safe to show and which model is worth paying for.
What you get depends on tier: an evaluation framework you can implement (Eval Design), a working pipeline gating one feature (Eval Stack Build), or the full stack with model routing that typically pays for itself in API savings (Stack + Cost Routing). Everything is documented for handoff; the goal is that your team owns it, not that you rent me forever.
I do not do fine-tuning, RLHF, or model training. This is the production quality layer between your model and your users, which is where most AI products actually break.
I design and build evaluation stacks for production AI features. This is not theory: I built one as sole engineer for a live AI platform, including fabrication detection, LLM-as-judge output gating, and cost-capability routing across multiple models (Anthropic Claude and OpenAI in production). That system decides, on every call, whether an output is safe to show and which model is worth paying for.
What you get depends on tier: an evaluation framework you can implement (Eval Design), a working pipeline gating one feature (Eval Stack Build), or the full stack with model routing that typically pays for itself in API savings (Stack + Cost Routing). Everything is documented for handoff; the goal is that your team owns it, not that you rent me forever.
I do not do fine-tuning, RLHF, or model training. This is the production quality layer between your model and your users, which is where most AI products actually break.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$10,000
|
Standard
$17,500
|
Advanced
$25,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 45 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Second AI feature added
(+ 10 Days)
+$5,000
Monthly eval review retainer
+$1,500Frequently asked questions
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SS
Schoneck S.
Jul 2, 2026
Interim Product Manager (analyst focused)
Mayank was a blast to work with. He was professional in his communication across various team members. Everyone enjoyed working with him and felt he added value to the organization from the start. Also, at the end of the contract, he was thorough with his hand-off to a new team member ensuring there were no gaps while experiments and builds. Thanks a bunch. Will consider in the future if the need arises.
AS
Amin S.
Jun 23, 2026
Senior UX & Monetization Analyst
KB
Kyle B.
Jan 21, 2026
Sales Pitch Deck Writer & Designer
One of the best freelancers on Upwork. Everything we wanted and asked of Mayank, he over delivered. Seriously, just hire him now.
KB
Kyle B.
Dec 11, 2025
Product Manager FinTech Onboarding User Experience
Working with Mayank has been an absolute game-changer for our fintech company. We came to him needing clearer messaging and more professional marketing materials, and he completely transformed how we present ourselves. His ideas were creative, strategic, and perfectly aligned with our brand and audience.
What impressed us most was his reliability—he hit every single deadline and often delivered more than we expected. Collaborating with him felt effortless, and the quality of his work consistently exceeded our standards.
If you're looking for someone who brings sharp thinking, polished execution, and true professionalism, Mayank is the one. We couldn't recommend him more highly.
What impressed us most was his reliability—he hit every single deadline and often delivered more than we expected. Collaborating with him felt effortless, and the quality of his work consistently exceeded our standards.
If you're looking for someone who brings sharp thinking, polished execution, and true professionalism, Mayank is the one. We couldn't recommend him more highly.
ZS
Zachary S.
Nov 25, 2025
Product Manager for Personal Finance App
Mayank has been a pleasure to work with. He's an excellent communicator and highly qualified to jump into a role and get up to speed quickly. I recommend him to anyone looking for a talented product mind to supercharge their organization.
About Mayank
Senior Product Manager, Growth & Conversion Expert.
100%
Job Success
Los Angeles, United States - 1:41 am local time
With 15+ years leading product strategy and conversion optimization across FinTech, HealthTech, and SaaS, I focus on one thing: measurable business outcomes. My clients don't hire me to push pixels or manage backlogs. They hire me to find the money they're leaving on the table.
What I Do
Product Strategy & Monetization: I audit your product, identify where revenue is leaking, and build the roadmap to fix it. Clients typically see 25-45% conversion improvements within the first engagement.
Growth Systems: From onboarding flows to checkout experiences to activation funnels, I design the systems that turn users into paying customers. I've scaled products past 50K users while keeping acquisition costs in check.
End-to-End Execution: I bridge the gap between strategy and implementation. I can define the vision in the boardroom and spec the solution in Figma, then validate it with data from Mixpanel, FullStory, or your analytics stack. This range is rare and it's why my clients stay.
Background
UPenn Computer Science. HEC Paris Business Innovation. USC Marshall Business.
I've led product across regulated industries (HIPAA, HL7-FHIR), built platforms handling real money (FinTech), and shipped products from MVP to maturity. My technical depth (Python, React, API architecture, cloud infrastructure) means I speak engineering's language fluently, which eliminates the translation tax most consultants create.
How I Work
I take on a limited number of engagements at a time. Each client gets strategic depth, not surface-level deliverables. My engagement model is designed around outcomes, not hours logged.
If you need someone to optimize what's already built, architect what's next, or diagnose why growth has stalled, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Mayank can start the project.
Delivery time starts when Mayank receives requirements from you.
Mayank works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
I map how your feature actually fails or lacks: fabrication, format breaks, tone, safety, cost blowouts, using real output samples.
Framework Design
Metrics, test sets, judge prompts, and pass/fail gating criteria tuned to your product's real risk profile.