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Gagan Jagadish
Junior AI/ML Software Engineer specializing in automation and healthcare imaging
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Backend-focused engineer who built a Python-based automation system leveraging Gemini AI and prompt-driven PDF field extraction to replace a previously manual third-party workflow. Drove stakeholder alignment around accuracy/acceptance thresholds and added production-minded safeguards like graceful failure handling and backup model contingencies.
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Key Strengths
- Designed an automated backend system to replace a manual third-party process (targeted 95% manual effort reduction)
- Achieved ~97–98% model extraction accuracy; aligned acceptable performance threshold (~95%) with stakeholders
- Implemented resilience measures for API/model failures (graceful failure handling, user indication of failures, backup model plan)
- Identified and fixed critical edge cases (missing PDFs, model unavailability) to improve robustness
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