Freelance Heuristic Evaluations
Freelance Heuristic Evaluations
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Parv Gatecha
Ahmedabad, India
Passionate Software Engineer and AI Developer
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Passionate Software Engineer and AI Developer
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Arbiter — AI Trust & Evaluation Platform Arbiter is an enterprise-grade AI trust and evaluation platform built to help teams test, secure, monitor, and govern LLM-powered applications before and after they reach production. Modern AI applications can fail in ways that traditional software testing does not easily catch. A prompt change can reduce answer quality, a model upgrade can introduce regressions, an agent can expose sensitive information, or a jailbreak can bypass application-level safeguards. Arbiter provides an infrastructure layer for continuously evaluating and controlling these systems. Core Capabilities LLM Evaluation Automated evaluation of LLM responses against configurable criteria. Support for deterministic and statistical evaluation workflows. Compare different models, prompts, and configurations. Track quality changes across evaluation runs. Statistical analysis using techniques such as the Mann–Whitney U test and bootstrap confidence intervals. Adversarial Testing Test LLM applications against jailbreaks, prompt injection, adversarial prompts, and other failure scenarios. Create repeatable attack suites for regression testing. Run security and reliability checks before deployment. AI Firewall & Policy Engine Acts as a control layer between applications and LLM providers. Inspect prompts and model responses. Apply configurable policies to block, modify, or flag potentially unsafe requests and responses. Provide centralized enforcement rather than implementing safety logic independently in every application. Memory Protection Analyze information being written to or retrieved from AI memory. Apply policies around sensitive information and potentially unsafe memory operations. Reduce the risk of unintended persistence of confidential information. CI/CD Quality Gates Integrate AI evaluation into the software delivery pipeline. Automatically evaluate model or prompt changes before deployment. Fail a deployment when configurable quality, safety, or regression thresholds are not met. Treat AI behavior as something that can be tested continuously rather than manually reviewed after deployment. Observability Track AI requests, responses, evaluation results, policy decisions, and failures. Designed around OpenTelemetry for integration with existing observability infrastructure. Provides visibility into how AI systems behave in real-world usage. Architecture Arbiter is designed as an infrastructure layer around existing AI applications rather than requiring teams to rebuild their applications from scratch. Application → Arbiter Gateway → Policy & Security Layer → LLM Provider Requests can pass through evaluation, policy enforcement, security checks, and observability before reaching the underlying model. Responses can then be evaluated and monitored before being returned to the application. This architecture allows teams to introduce AI governance without tightly coupling their application to a specific model provider. Engineering Focus The project combines: LLM evaluation Statistical testing Adversarial AI security AI governance API gateways Policy engines Memory security CI/CD automation Observability Production AI infrastructure The goal is to move LLM applications from “it works in a demo” toward systems that can be continuously tested, monitored, and controlled in production.
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8
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MNIST
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8
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Movie Recommendations
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5
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Network- Twitter clone
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14
Heuristic Evaluation
(1)
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creede fitch
Austin, USA
Product designer who ships working products not just mockups
New to Contra
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Product designer who ships working products not just mockups
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Pet Rodeo E-Commerce UX/UI Redesign
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1
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enplace
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2
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My Praia: Personalized Beach Finder App
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A real estate platform I designed and built from scratch. Ran it for a decade and drove 650K visitors and $45M in sales through design and conversion.
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45
Heuristic Evaluation
(1)
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Arun Dhungel
Kathmandu 44600, Nepal
UX Designer with 8+ years of experience
New to Contra
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UX Designer with 8+ years of experience
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UX Audit for a Game
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The website I built for Far Too Young Organization using AI Assistance and only prompting directions. No Figma MCPs Connected.
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Democratik CRM & Mobile Platform
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1
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Democratik Marketing website
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2
Heuristic Evaluation
(1)
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Zeinab Ahmad
Mansoura, Egypt
Analytical UI/UX Designer with a Computer Science background
New to Contra
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Analytical UI/UX Designer with a Computer Science background
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UI\UX Concept Places review mobile app (Reviewer)
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7
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Pro-icon Global website
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6
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Flutter developer personal portfolio UI design
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5
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Pro-icon KSA website
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7
Heuristic Evaluation
(1)
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