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Durga Mahesh Boppani
Mid-level Backend Software Engineer specializing in distributed cloud-native systems
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About
Backend/AI workflow engineer who built production-grade orchestration systems for hardware security verification at Silicon Assurance (Nextflow/Python/Postgres) and a multi-agent LLM-driven regulatory code checking system at the University of Florida. Emphasizes reliability: strict plan/execute/verify boundaries, queue-based isolation, and strong observability/auditability with Prometheus/Grafana and persisted prompts/tool calls.
Experience
Education
Key Strengths
- Designed and built production workflow orchestration service for hardware security verification (Nextflow + Python + Postgres) handling hundreds of concurrent jobs
- Debugged and mitigated unpredictable latency spikes and cascading retries via improved queueing/prioritization (RabbitMQ) and stronger observability (Prometheus/Grafana)
- Built and shipped multi-agent AI workflow for regulatory/building-code checks with deterministic verification stages and auditable outputs
- Strong reliability guardrails for LLM systems: schema/contracts, verifier agents, confidence gating, full prompt/tool-call persistence for auditability
- Database performance optimization: composite indexing and selective denormalization to achieve sub-50ms query latency under load
- Maintainable Python engineering practices: domain/infrastructure separation, typed interfaces enforced in CI, careful async/concurrency boundaries, pinned dependencies, targeted integration tests
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