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Atharva Sardar
Junior AI/Software Engineer specializing in LLM agents, RAG, and full-stack ML systems
Austin, TXAI Engineer Fellow2 years experienceJuniorArtificial IntelligenceCloud ComputingData Analytics
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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).
Experience
Software EngineerVirginia Tech
AI Engineer FellowGauntlet AI
Software Development EngineerWeboculus Technology
Software EngineerSyneractiv
Education
Virginia Techmaster, Computer Science and Applications (Data Analytics and AI) (2025)
Veermata Jijabai Technological Institute (VJTI)bachelor, Electronics Engineering (2022)
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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