Brendan Ostrom
Full-stack engineer focused on AI-powered products and building the future of software.
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About Me
I’m a full-stack software engineer focused on building applied AI systems and production-grade developer workflows.
At Momentus Technologies, I architected a company-wide AI framework that enables teams to build intelligent agents over internal knowledge bases and customer data. I also created and delivered an applied AI curriculum that upskilled 80+ engineers in multi-agent orchestration, LLM system design, and real-world API integration.
Earlier in my career at Charles Schwab, I worked on large-scale backend systems, helping migrate monoliths to microservices and improving API performance by over 50 percent.
Outside of work, I build systems that push beyond typical “AI demos.” I maintain a high-traffic RuneLite plugin serving 4,900+ daily users and recently built Ellory, an autonomous multi-agent system that executes a full engineering workflow from idea to codebase using stateful orchestration and real GitHub integration.
Most of my recent work has been around building systems that move beyond simple AI demos into real workflows with state, iteration, and external integrations.
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Ask about me...
I built an AI feature to answer questions about my experience and myself—try it!
Try these prompts:
Featured Project
About Me
I’m a full-stack software engineer focused on building applied AI systems and production-grade developer workflows.
At Momentus Technologies, I architected a company-wide AI framework that enables teams to build intelligent agents over internal knowledge bases and customer data. I also created and delivered an applied AI curriculum that upskilled 80+ engineers in multi-agent orchestration, LLM system design, and real-world API integration.
Earlier in my career at Charles Schwab, I worked on large-scale backend systems, helping migrate monoliths to microservices and improving API performance by over 50 percent.
Outside of work, I build systems that push beyond typical “AI demos.” I maintain a high-traffic RuneLite plugin serving 4,900+ daily users and recently built Ellory, an autonomous multi-agent system that executes a full engineering workflow from idea to codebase using stateful orchestration and real GitHub integration.
Most of my recent work has been around building systems that move beyond simple AI demos into real workflows with state, iteration, and external integrations.