damien de la cerda | Applied AI Engineer LLM & Agentic Systems

Damien De La Cerda Actively looking for Full-time opportunities | AI Engineer | Python, RAG | LLM & Agentic AI Dallas, Texas, United States (US) 332 connections • 337 followers About I am an Applied AI Engineer with 6 years of experience designing, deploying, and scaling production machine learning systems at high-growth technology companies. I specialize in LLM-based agentic workflows, retrieval-augmented generation (RAG), and MLOps, delivering measurable business impact through autonomous systems. What I’m most proud of: At Forethought, I led the development of an agentic AI assistant that reduced technical support ticket resolution time by 50% and enabled 70% of customer inquiries to be handled autonomously, all while maintaining a 4.8/5 CSAT score. I also engineered a self-updating knowledge base that improved accuracy by 25% and built a low-code platform that cut AI agent deployment time from months to under 2 weeks. What I’m interested in next: I am excited about pushing the boundaries of multi-agent collaboration, reliable LLM evaluation frameworks, and scalable MLOps pipelines, especially in environments where AI directly enhances human productivity. I thrive in cross-functional teams that bridge research, engineering, and product. Core expertise: Python · PyTorch · LangChain · Hugging Face · RAG · Agentic AI · AWS SageMaker · Docker · MLflow · Model Monitoring · A/B Testing · REST APIs · Apache Spark Let’s connect and build the future of applied AI – reach me at damienadelacerda@gmail.com Total Experience: 5 years and 5 months Experience Applied AI Engineer LLM & Agentic Systems - Forethought(https://www.linkedin.com/company/forethought-ai) (Current) Aug 2024 - Present (2 years) in San Francisco, CA - Tackled delays in resolving technical support tickets due to manual knowledge retrieval by developing an agentic AI assistant using retrieval-augmented generation (RAG) frameworks and integrations with tools like Slack, Jira, and Conflu