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Yashvi Kishor Vaghela
Entry-level Software Developer specializing in full-stack web and machine learning applications
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About
Early-career candidate with a thoughtful, engineering-first approach to AI-assisted development: they use AI to accelerate implementation while retaining human ownership of architecture and final code quality. They recently built a speech-to-text workflow using Groq Whisper and showed practical judgment by designing around imperfect transcription accuracy with checks and fallback handling.
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Key Strengths
- Pragmatic AI-human collaboration mindset
- Designed product flow and architecture independently
- Hands-on experience integrating Groq Whisper for transcription
- Builds resilience for imperfect AI outputs
- Strong focus on control, testing, and human review in AI-assisted coding
- Uses AI effectively for debugging, tests, and edge-case analysis
- Owned end-to-end Python/Flask backend for video analysis product (upload, job start, results APIs)
- Designed time-aligned prediction outputs for frontend probability graph rendering
- Improved reliability via input validation, logging, and error handling
- Addressed scalability/resource constraints by separating request handling from CPU-heavy processing and instrumenting stage timings to find bottlenecks
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Experience
Education
Awards
Languages
Publications
1 publication
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