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Runjeeth Nikam
Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices
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Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.
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Key Strengths
- Shipped end-to-end event-driven AI grading workflow (FastAPI + Postgres Debezium CDC + Kafka + AWS) reducing manual grading ~70% for 1000+ students
- Reliability engineering in distributed systems (idempotency, Kafka consumer group tuning, commit offsets after successful processing)
- Built and owned production Python backends with clean layering (router/service/data access) and standardized error handling
- API accuracy and data quality practices (Pydantic schema validation, reconciliation checks, edge-case and stress testing)
- Performance tuning across stack (Athena query optimization, pre-aggregation, Kubernetes scaling, DB indexing/joins/connection pooling) including ~18% latency reduction in prod
- Designed scalable Postgres schemas for healthcare claims workflows (history tables, composite/partial indexes) and iterated using production query analysis (slow logs, EXPLAIN ANALYZE)
- Delivered polished React + TypeScript dashboards with strong UX (loading/error states, formatting) and robust data fetching (async hooks, memoization, request cancellation)
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