Mid-Level Full-Stack Software Engineer specializing in AI-enabled web platforms
Dallas, TXSoftware Engineer4 years experienceMid-LevelTechnologySaaSArtificial Intelligence
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About
Backend/AI engineer in construction tech (HyperWater AI) who delivered major production performance wins (analytics API from ~1 hour to 0.5s) and shipped LLM features for parsing subcontractor manifests into CSI divisions with human-in-the-loop review. Also built a freelance agentic document-verification system using OCR + RAG over pgvector with robust retry/escalation logic and user feedback loops.
Experience
Software EngineerHyperWater AI
Software Engineer and Software Engineering MentorUTDesign EPICS
Software Developer and Project LeadDallas Formula Racing (FSAE)
Software Engineer InternUT Dallas Department of Engineering and Computer Science
Education
University of Texas at Dallasbachelor, Computer Science (2024)
Key Strengths
Reduced analytics endpoint runtime from ~1 hour (502s/crashes) to ~0.5s by eliminating N+1 queries and optimizing data transforms
End-to-end ownership of LLM-powered Excel/subcontractor manifest parsing feature (upload → parsing API → OpenAI call)
Cut LLM request volume and cost ~80% via bulk aggregation and model selection (GPT-5 mini)
Designed multi-agent workflow with OCR + planning agent + RAG verification using pgvector, with retries/exponential backoff and human escalation
Improved bulk subcontractor ingestion performance from 50 minutes to 25 minutes for ~5,000 companies via bulk/parallel record creation
Production-minded operations: monitoring/alerting (CloudWatch/Sentry/LogRocket), QA scoring of model accuracy, and fallbacks (Redis-to-DB)
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