Mid‑Level
AI Engineer

How I Solve Your AI Challenges

• LLM Agents & Guardrails

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  Build tool-using agents on LangGraph and LangChain, like GIS analysis agents for correlation, catchment and travel time.
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  Protect confidential data with a Presidio + GLiNER guardrail: PII detection F1 from 0.58 to 0.91, Arabic at 1.00.
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  Stop prompt injection in English, Egyptian Arabic and Arabizi, including hidden-character tricks.
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  Evaluate LLM systems before users do: eval suites that catch bugs and measure safety across languages.
• ML Systems in Production

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  Serve ML models with FastAPI: upload, prediction and safe ONNX conversion in a sandboxed process.
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  Forecast time series with Chronos-2: about 20% lower error than a seasonal baseline on 180 backtests.
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  Run spatial statistics behind maps: Moran's I, LISA and Getis-Ord.
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  Connect models to Snowflake and Databricks serving endpoints.
• Infrastructure & Data

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  Ship with Docker, Kubernetes and Helm, with CI on GitHub Actions and metrics in Prometheus.
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  Keep LLM services up: retries, fallback models and per-model circuit breakers.
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  Work across PostgreSQL (Supabase), Neo4j, Redis, Snowflake and Databricks.
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  Build backends in Python, FastAPI and Go, and frontends in Next.js, React and TypeScript.