Damian De La Cerda
@damiandelacerda
I build production ML and LLM systems that automate enterprise workflows.
United StatesWhat I'm looking for
At Forethought, I build LangChain multi-agent workflows and AI agent platforms that automate real-time B2B SaaS support actions, cutting ticket closure time by 60% and manual work by 40%.
Previously at Tally, I developed predictive analytics, intelligent document processing, and streaming recommendation pipelines, including invoice automation that achieved 98% accuracy and saved 200+ manual hours monthly. At Amazon, I improved production ML reliability with monitoring, validation, and CI/CD workflows while building recommendation, NLP data-labeling, and real-time inference systems.
I work across Python, Spark, TensorFlow, LangChain, AWS, Kubernetes, and MLOps, and I'm excited to architect reliable multi-agent platforms and scalable enterprise AI products.
Experience
Work history, roles, and key accomplishments
Developed LangChain multi-agent workflows with prompt engineering and chain-of-thought reasoning, plus API integrations, to automate real-time support actions, cutting ticket closure time by 60% and manual work by 40%. Created a self-updating ML system using vector embeddings to detect knowledge base drift and auto-merge insights, improving accuracy by 25% and cutting new agent onboarding time.
Education
Degrees, certifications, and relevant coursework
Hodges University
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Hodges University.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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