Freelancers using OutSystems
Freelancers using OutSystems
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Adam Bryniak
33-330 Grybów, Poland
Low-Code Developer & 3D Design Engineer & Photo/Videoeditor
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Low-Code Developer & 3D Design Engineer & Photo/Videoeditor
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Leveraging Low-Code for Efficient App Development
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4
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Innovative Mechanical Design Solutions
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10
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Photography Portfolio: Passion, Creativity, and Expression
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4
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OutSystems
(1)
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Igor Cruz
Lisbon, Portugal
Website and internal platform designer and developer
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Website and internal platform designer and developer
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Stadium Food & Beverage Ordering Platform
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1
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AI Chatbot for Service Discovery
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20
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Personal Website Design & Development with Framer
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1
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OutSystems
(1)
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James Park
Canberra ACT, Australia
Building intelligent enterprise systems
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Building intelligent enterprise systems
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Outsystems ODC Mobile App - Construction
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40
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Microsoft Cloud Digital Transformation - Federal Government
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20
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Immersive Student Showcase Portal with VR Gallery
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20
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Higher Degree Research Interactive Showcase
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32
OutSystems
(1)
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João Pedro
4990 Ponte de Lima, Portugal
Designer & Developer
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Designer & Developer
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Parlay — Finance App & Website
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8
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Aquaview — Hydrotech Mobile App
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3
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Nullship — Shipment Platform Website
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1
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Bravo Care — Healthcare App Website
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1
OutSystems
(2)
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Joshua Rotimi
Atlanta, USA
AI Output Evaluator & LLM Quality Specialists
New to Contra
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AI Output Evaluator & LLM Quality Specialists
1
Ran 48 adversarial prompts against a production LLM to surface jailbreak vulnerabilities, role override attempts, and context manipulation before a public launch. Found 11 vulnerabilities including 3 critical, documented every failure with reproducible prompts, and delivered a prioritised risk report with fixes.
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11
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Evaluated 60 multi-turn conversations from a retail support AI to track context retention, persona consistency, and task completion across longer exchanges. Found that context drops clustered around the third and fourth turn, pointing to a memory window limitation rather than random failures, and flagged each instance with the exact turn where context broke down.
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10
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Built a custom evaluation rubric for scoring AI customer support outputs across five weighted dimensions: factual accuracy, reasoning validity, instruction adherence, adversarial robustness, and format compliance. Each dimension includes plain-language scoring criteria so any team member can apply it consistently, no AI background required.
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9
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A sample LLM evaluation report analyzing AI responses for accuracy, reasoning quality, hallucinations, and failure patterns. Demonstrates structured testing and quality assessment workflows.
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52
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(1)
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