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Aayush Anand
Intern Full-Stack/Software Engineer specializing in web apps, cloud, and data/ML systems
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About
Built and productionized LLM-driven content intelligence/SEO agents for a high-traffic media platform, automating tagging/summarization/metadata with FastAPI + async orchestration and strict JSON-schema outputs. Demonstrated measurable impact (40% faster publishing, +20% organic traffic in 3 months) and strong reliability practices (offline evals, shadow mode, canaries, fallbacks, idempotency, and monitoring).
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Key Strengths
- Shipped LLM-powered SEO/content automation to production for a high-traffic media platform
- Improved publishing efficiency by 40%
- Drove 20% increase in organic traffic within 3 months
- Production-readiness focus: containerization, monitoring, retries, validation layers, and hallucination/failure fallbacks
- Reliability validation via offline evals, shadow mode, canary releases, and A/B testing
- Architected multi-step agent workflows with tool/function calling and strict JSON schema outputs
- Built resilient orchestration with task queues, shared state, checkpoints, retries, and partial recovery
- Designed evaluation/monitoring loops with online metrics and error analysis to iteratively improve reliability
- Handled messy CMS/ERP-like data via normalization, strict typing, validation, fallbacks, and idempotent processing
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1 publication
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