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Asad Mohammed
Mid-level AI/ML Engineer specializing in generative AI and intelligent automation
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About
Backend-focused AI engineer with enterprise experience building startup-style internal products at JPMorgan Chase. He helped create an AI-powered financial research platform for analysts, leading retrieval and multi-agent orchestration work that cut research prep from hours to under 20 minutes while scaling across large volumes of SEC filings and earnings transcripts.
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Key Strengths
- Built AI-powered financial research platform components from the ground up in a startup-like team within JPMorgan Chase
- Led retrieval and agent orchestration architecture for complex financial research workflows
- Strong Python backend engineering in production AI systems
- Designed scalable containerized microservices on AWS EKS
- Improved retrieval quality through chunking, metadata filtering, and semantic search design
- Reduced analyst research preparation time from several hours to under 20 minutes
- Cut unnecessary LLM calls by about 30% through query routing
- Designed hybrid structured/unstructured data architecture with PostgreSQL and Pinecone
- Handled large-scale ingestion and retrieval across millions of document segments
- Deep domain expertise in financial documents, SEC filings, and earnings transcript analysis
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