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Ansh Harjai
Junior Software Engineer specializing in AI, RAG systems, and backend development
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About
Built an NYU software engineering capstone called “Smart Cash AI,” a multi-agent LLM-powered web app that curates offline-ready podcasts/articles/videos/news based on user preferences and commute schedules. Architected agent orchestration (discovery/downloader/summarizer), real-time progress via WebSockets, and an ETL normalization layer across RSS/YouTube and other sources with GUID-based deduplication, retries, and failure isolation to keep the system predictable.
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Key Strengths
- Designed and built an end-to-end multi-agent pipeline (discovery, download, summarization) with deterministic orchestration
- Implemented reliability features: retries, status tracking, failure isolation, and graceful degradation when AI/background services are unavailable
- Built normalized ETL layer across messy external sources with idempotent GUID-based deduplication
- Instrumented workflow with operational metrics (failures, completion rates, queue times) and used logs to drive reliability improvements
- Delivered a working MVP multi-agent web app in 3–4 months as part of an NYU software engineering team project
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