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Hamidreza Lotfalizadeh
Mid-level AI/ML Engineer specializing in LLM agents, RAG, and ML systems
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About
At Inertia Systems, built a production LLM-powered ingestion pipeline that converts heterogeneous sources (PDF/JSON/IFC/SQL and financial tables) into standardized text and uses GraphRAG to construct a knowledge graph with verified dependency relationships. Also has hands-on HPC orchestration experience with SLURM, including creating a custom wrapper process manager to improve resource utilization under restrictive scheduling policies.
Experience
Education
Key Strengths
- Built and deployed an LLM-driven ingestion pipeline to create a knowledge graph from heterogeneous data sources (PDF/JSON/IFC/SQL)
- Solved inconsistent LLM output formatting by constraining generation to a small set of reusable patterns and iterating patterns via supervised review
- Optimized SLURM-constrained scheduling by building a wrapper process manager that forks child processes to better utilize allocated resources
- Designs reliable AI workflows via decomposable steps, guardrails/validators, and fallback hierarchies
- Uses structured evaluation practices (unit tests, golden datasets, trajectory testing) and considers robustness/efficiency/calibration metrics
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