Peter Boudoloh

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• Design, develop, and deploy AI agents and intelligent systems using leading LLM and AI platforms, including GPT, Claude, Kimi, DeepSeek, and Llama.
• Build and orchestrate automated AI workflows using n8n, MCPs, APIs, and external services.
• Develop AI applications and agent infrastructure using TypeScript, Python, LangChain, and LangGraph.
• Work with machine learning and deep learning technologies including PyTorch, incorporating AI models into practical applications and intelligent workflows.
• Develop real time AI applications and communication systems using LiveKit and WebRTC.
• Work with cloud based AI infrastructure and deployment environments, including AWS, Azure, Google Cloud / Vertex AI, supporting scalable AI workloads and model integration.
• Apply MLOps principles to AI development, including model deployment, monitoring, experimentation, workflow management, and continuous improvement.
• Design AI systems that integrate multiple models, agents, tools, APIs, and data sources into unified intelligent workflows.
• Develop systems capable of automatically processing information, adapting to new inputs, assisting decision making, and improving operational efficiency.
• Integrated AI into business applications for automation, content generation, social media management, audience optimization, engagement workflows, and business intelligence, which drove improved user experiences.
• Built AI driven social media automation tools capable of creating, scheduling, and publishing content across social platforms, while supporting audience engagement, content optimisation, and targeted marketing. The system can analyze target audiences, tailor content to different demographics and customer segments, use other successful social media accounts and make a similar account, optimize messaging and posting strategies, monitor engagement, and assist businesses in improving their online presence and customer reach.
• Programming languages: C++, Python, Java, C#, PHP