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Benjamin Kozel
Mid-level Machine Learning & Software Engineer specializing in RAG systems and ML infrastructure
Atlanta, GASoftware Engineer III4 years experienceMid-LevelSemiconductorsHardwareArtificial Intelligence
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About
Built and deployed an in-house RAG LLM system ("MONTY") using LLaMA 3B + FAISS to help teams quickly understand long internal/external specifications. Delivered usable production performance despite severe compute limits (single RTX 3080) by tuning retrieval/reranking and model choice, and is planning a LightRAG/knowledge-graph rewrite to improve accuracy and latency.
Experience
Software Engineer IIIMontage Technology, Inc.
Semiconductor Product EngineerMicron Technology, Inc.
Education
Georgia Institute of Technologymaster, Computer Science (Machine Learning specialization) (2026)
North Carolina State Universitybachelor, Computer Engineering, Electrical Engineering (2022)
Key Strengths
- Built and deployed an internal RAG assistant (MONTY) to help teams navigate long specifications
- Optimized LLM system performance under tight hardware constraints (single RTX 3080) via smaller models and retrieval/reranking tuning
- Pragmatic model/stack selection based on constraints, objectives, and target metrics
- Reliability-focused design with explicit fallback behaviors and failure-mode testing (e.g., server failure, bad sensor)
- Metrics-driven evaluation using scorecards (e.g., TTFT, perplexity, retrieval/generation metrics)
- Effective cross-functional alignment by translating model behavior into stakeholder-relevant metrics and sprint artifacts
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