Michah Lerner is a computer scientist based in Maryland with 25+ years of expertise in machine learning, AI, scalable information retrieval, and large software systems, currently applying that depth at CACI / LGS Labs to drive business growth through software engineering. With 11 years of documented professional experience and roots at Columbia University, he blends research-grade understanding with practical system delivery, especially in retrieval and ML-driven solutions. Colleagues would note his ability to translate complex algorithms into production-ready architectures that scale under real-world constraints. He favors pragmatic, auditable designs that balance performance, maintainability, and mission needs, and brings a long-term perspective on evolving AI systems. An underappreciated strength is his sustained commitment to bridging academic rigor and operational impact across decades of tooling and systems work.
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