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Emmanuel Agbator
Entry-Level Electrical & Computer Engineering graduate specializing in ML and computer vision
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About
Hands-on LLM/agentic workflow practitioner who focuses on moving prototypes into production by improving data quality, preprocessing, and validation, and by testing against real user inputs. Experienced troubleshooting LLM issues in real time during live tests and supporting adoption through developer demos and sales-partnered technical explanations that address customer reliability concerns.
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Key Strengths
- Takes LLM solutions from prototype to production via iterative testing and feedback loops
- Diagnoses LLM issues by isolating root cause across data, prompts, and model behavior
- Stabilizes inconsistent real-world model outputs through preprocessing, validation, and real-input testing
- Effective real-time troubleshooting during live LLM tests (rapid identification and fix of formatting issues)
- Delivers developer-focused demos with step-by-step explanations and practical examples
- Bridges technical and customer-facing teams to drive adoption and address reliability concerns in demos
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