Mohamed A M Elansary, PhD
Target: Research Engineer, Retrieval & Search — OpenAI (Applied Engineering)
Sourced insights
- File Search (Responses API): OpenAI's hosted file_search retrieves from knowledge bases / vector stores via semantic and keyword search, so models can augment inherent knowledge with uploaded corpora and return cited answers — production retrieval wired into the API path. Source: developers.openai.com/api/docs/guides/tools-file-search
- ChatGPT search: OpenAI ships fast, timely answers with links to relevant web sources — blending a natural-language interface with up-to-date web facts — the consumer face of retrieval & search at ChatGPT scale. Source: openai.com/index/introducing-chatgpt-search/
Proof — shipped retrieval + PhD UQ
- Production multi-tenant agentic LLM / RAG-adjacent systems (GPT, Claude, Gemini): retrieval, query routing, per-tenant data isolation — WhatsApp AI receptionist + voice booking agents in live use (Vertexium).
- Reliable Python/API automation for compliance, CRM data quality, and environmental monitoring — shipping over demos.
- PhD Environmental Engineering, TAMUK 2022: hydrologic uncertainty quantification — multi-basin, multi-hydroclimate ensemble forecasts on HPC (MODFLOW, VIC, PIHM, NASA LIS; USGS/NOAA/NASA data) as failure-mode / hard-eval rigor for retrieval systems.
- Honest frame: applied retrieval that ships — not Google/Bing-class internet-scale ranking ownership.
- The PhD who ships. SF OK · Prefer take-home / work-sample when interview format allows.