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ATHARVA WADEKAR
Junior Full-Stack & AI Engineer specializing in computer vision and cloud platforms
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Early-career backend engineer and solo builder of FrameFindr, an AI/OCR-based marathon photo tagging product used at live events. Demonstrated pragmatic scaling under tight infrastructure constraints (2GB VPS) and hands-on ownership of architecture, API design, auth (Google OAuth/JWT), and a MongoDB-to-MySQL migration with data-integrity safeguards.
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Key Strengths
- Built and deployed an end-to-end live product (FrameFindr) used at real events
- Scaled download architecture to prevent crashes on a 2GB VPS; improved to handle ~200 simultaneous bulk downloads
- Improved data quality and DB efficiency by validating OCR outputs against an event-specific bib-number pool
- Executed MongoDB-to-MySQL migration with snapshots, custom migration scripts, and a maintenance window to protect data integrity
- API design driven by business impact and peak-load planning (caching, schema design, connection pooling, auth middleware)
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