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Atharva Sardar
Junior AI/Software Engineer specializing in LLM agents, RAG, and full-stack ML systems
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About
Backend engineer who built an Emergency Alert System with Virginia Tech for the City of Alexandria, focusing on real-time ingestion, secure dashboards, and AI-assisted prioritization. Emphasizes high-stakes reliability with guardrails (hybrid rules+LLM, confidence-based fallbacks), scalable async processing, and defense-in-depth security (JWT/RBAC plus database row-level security).
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Key Strengths
- Designed layered backend architecture (ingestion/processing/presentation) for real-time emergency alerts
- Built guardrailed AI decision-support (hybrid rules + LLM, structured outputs, confidence-based fallback)
- Scalability via async processing and background workers to keep APIs responsive under spikes
- Strong API engineering practices in FastAPI (validation, idempotency, logging, predictable contracts)
- Centralized RBAC implementation using FastAPI dependency injection with DB-backed dynamic permissions
- Low-risk refactoring/migration approach (versioned migrations, staging with snapshot data, additive changes)
- Incremental rollout with parallel runs and discrepancy logging to protect uptime and data integrity
- Proactively identified failure modes (duplicates/malformed payloads) and improved resilience with validation and idempotency
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