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Almas Fathimah
Senior AI Engineer specializing in Generative AI and ML platforms
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About
Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.
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Key Strengths
- Owned end-to-end production RAG system lifecycle
- Strong retrieval optimization via chunking, overlap tuning, reranking, and metadata filtering
- Production deployment of scalable AI microservices on AWS
- Practical LLM safety design with grounding, guardrails, and fallback logic
- Data-driven evaluation using benchmark queries, user feedback, latency, and relevance metrics
- Improved analyst workflow efficiency by 30-40%
- Improved response accuracy by about 30%
- Built reusable modular Python/FastAPI services that improved team velocity and reliability
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