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Ketan Verma
Junior Applied AI Engineer specializing in data pipelines and ML systems
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About
Built an end-to-end wafer-data anomaly detection and reporting system at Samsung using PySpark, Random Forest models, SQL, and Grafana to help engineers track faults and take corrective action. Also has strong UX prototyping and validation practices in Figma plus hands-on front-end/full-stack experience (HTML/CSS/TypeScript), including a student project recognized as best design out of 25 teams, and early-stage startup experience pivoting a product based on user interviews into a real-time in-context feedback overlay.
Experience
Education
Key Strengths
- End-to-end delivery of an ML anomaly detection system (data prep, build, test, model integration)
- Translating complex ML concepts into accessible learning experiences (60-student neural networks workshop)
- User-centered iteration via user testing and usability/accessibility feedback loops
- Rapid prototyping and validation using Figma with scenario simulations and structured stakeholder storytelling
- Cross-functional execution using Agile/Jira, sprints, and peer reviews
- Award-winning UI implementation on a full-stack kiosk interface project (best design out of 25 teams)
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