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Bhanu Akepogu
Mid Software Engineer specializing in backend, full-stack, and AI systems
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Full-stack engineer with 3+ years of backend and frontend experience who has built production AI products for enterprise document and policy workflows. Stands out for owning end-to-end systems that combine React, FastAPI, RAG, vector search, and AWS deployment, with measurable impact including 65% less manual review time and significantly faster knowledge-query resolution.
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Key Strengths
- Owned and shipped AI-powered document intelligence product end-to-end
- Strong full-stack execution across React/TypeScript frontend and FastAPI backend
- Built production RAG and multi-agent AI systems
- Improved document review time by 65%
- Improved search precision by 38% over keyword-only search
- Reduced query resolution time from 4 minutes to 108 seconds
- Designed real-time product experiences with WebSocket streaming
- Strong enterprise workflow and compliance-oriented product thinking
- Balances rapid delivery with long-term architecture trade-offs
- Cross-functional stakeholder alignment across product, compliance, leadership, and users
- Focus on AI transparency and trust through citations, inline corrections, and feedback loops
- Experience deploying scalable systems on AWS with monitoring and logging
- Owned and shipped end-to-end production financial reconciliation feature (backend, APIs, deployment/ops)
- Reduced reconciliation turnaround time ~25% and decreased discrepancies/support tickets
- Strong AWS production operations (observability with CloudWatch logs/metrics/dashboards/alerts; autoscaling/health checks; env isolation)
- Designs robust API/data layers (typed REST, schema validation, normalized Postgres, indexing, migrations)
- Reliability-focused data integration/ETL practices (idempotency, retries with exponential backoff, reconciliation, backfills, alerting)
- Improved maintainability via refactoring to modular service layers, centralized validation, and CI-enforced linting/test coverage
- Able to ship MVPs in ambiguous requirements and iterate with stakeholder feedback
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