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Kaival Shah
Intern Software Engineer specializing in cloud, backend, and ML systems
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About
Full-stack builder with hands-on experience spanning a MERN e-commerce product, an AI code review agent, and an ambiguous AWS internship project involving PyTorch/TensorFlow support in Redshift. Particularly interesting for recruiters because they combine product-minded engineering with AI agent reliability work, including CI/CD integration, telemetry via Weights & Biases, and measurable impact like 80% reduction in manual review effort.
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Key Strengths
- End-to-end full-stack product ownership
- Architectural tradeoff thinking across frontend and backend
- Built decoupled scraping and API architecture for resilience
- Improved perceived performance by moving synchronous scraping to async lazy-loading
- User-trust oriented product iteration via per-source review breakdowns
- Shipped AI code review agent integrated into CI/CD pipelines
- Reduced manual code review work by 80%
- Analyzed 1000+ LOC in under 30 seconds
- Strong AI agent reliability engineering with telemetry and labeled-set evaluation
- Added guardrails and strict JSON schemas to improve agent orchestration reliability
- Turned automation into non-technical UI workflows
- Handled ambiguous zero-to-one internship project through stakeholder alignment and iteration
- Proactively identified version-compatibility blocker and redesigned approach
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