Freelance AI Content Creators in San Francisco
Freelance AI Content Creators in San Francisco
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Nikol Hayes
San Francisco, USA
AI Campaign Assets + Agents for DTC Growth
$50k+
Earned
32x
Hired
5.0
Rating
153
Followers
Top
Partner
+1
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AI Campaign Assets + Agents for DTC Growth
3
Recess Spec Product Photography Campaign
3
72
2
Zoryana: AI-Generated Influencer for Brand Campaigns
2
40
0
Hawaiian Electrcian Commercial: AI-Generated Brand Campaign
0
29
1
ZK Records - AI-Generated Album & Music Label
1
67
AI Content Creator
(4)
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Amirhosein Mohaddesi
San Mateo, USA
Clear, rigorous problem-solving in AI and robotics
New to Contra
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Clear, rigorous problem-solving in AI and robotics
17
DocForge AI is a document automation system that uses Large Language Models as reasoning engines, not just text generators. Instead of simply “writing” documents, the system analyzes structure, constraints, and intent to produce professional, publish-ready outputs such as resumes, SOC 2 reports, technical specifications, and compliance documents. LLMs are orchestrated to plan sections, enforce schemas, validate consistency, and adapt tone and layout to industry standards. The result is documents that are not only well-written, but correct, coherent, and visually polished, reducing manual effort while maintaining trust and professional quality.
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Alter Ego is a personalized AI assistant I built and deployed on my website using OpenAI’s ChatGPT. It’s designed to represent how I think and work, not just answer questions. The system uses a structured persona, curated knowledge from my research and projects, and context-aware prompting to hold accurate, grounded conversations about my background in AI, robotics, and agentic systems. The goal is not imitation for novelty, but continuity: enabling clear, truthful interaction with my work, ideas, and problem-solving approach even when I’m not present. Please check out the demo on my website: https://amirmohaddesi.github.io/
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I built and studied a multi-robot coordination system in Webots to understand how different navigation strategies affect team performance in exploration tasks. Using Clearpath PR2 robots, I implemented and compared Route, Survey, and Mixed human-inspired strategies, along with obstacle avoidance and conflict resolution in C++. By running controlled simulations, I measured how strategy choice impacts task completion time, coverage, and coordination efficiency. One key result was that mixed strategies consistently produced more robust and efficient teams, offering insights directly relevant to real-world search, rescue, and exploration robotics.
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Multi-Robot Coordination & Simulation in ROS2 Designed and implemented a ROS2-based multi-robot simulation platform to study coordination, navigation strategies, and communication-aware exploration. Integrated SLAM Toolbox, Nav2, map merging, and multi-agent coordination logic. Used Python and C++ nodes with live visualization in RViz to evaluate efficiency, coverage, and cooperation under different strategies.🚀
21
146
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(1)
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