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Sai Harshitha Sivalingala
Junior Full-Stack Software Engineer specializing in cloud-native systems and ML tooling
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New-grad backend engineer who built a real-time genome analysis pipeline, replacing a slow batch system with an event-driven distributed architecture in Python/Redis and a React progress dashboard. Reports ~6x improvement and cutting analysis time from days to hours with zero data loss under peak load, emphasizing reliability patterns like retries and idempotency plus API security (JWT/RBAC/HTTPS).
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Key Strengths
- Designed and delivered event-driven distributed genome analysis pipeline (batch to real-time)
- Achieved ~6x throughput improvement and reduced turnaround from days to hours
- Built reliability into distributed processing via retries and idempotency (zero data loss under peak load)
- API security implementation: JWT auth (access/refresh), HTTPS enforcement, RBAC, input validation
- Careful migration/refactor execution with tests, staged rollout, and log monitoring
- Proactively identified edge cases (malformed/empty inputs) and added validation + tests to prevent crashes
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