Ruthvika Mamidyala

About

Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.

Key Strengths

• Designed scalable Python backend for real-time profitability/risk insights
• Improved forecasting accuracy by ~20% via production ML inference system
• Pragmatic architecture tradeoffs (simplicity vs microservices; model complexity vs latency)
• Strong focus on data quality, edge cases, and robust failure handling for noisy/incomplete inputs
• Built reliable FastAPI services with strict validation and standardized errors to reduce production failures
• Security-minded API implementation (token auth, RBAC, row-level filtering, least-privilege access)
• Led low-risk refactor/migration using parallel run, output reconciliation, incremental traffic shift, and rollback

Reference Highlights

• Strong technical knowledge
• End-to-end ownership from design through production
• Takes responsibility for reliability and data integrity
• Strong architectural judgment with long-term impact
• Applies security best practices
• Balances simplicity with scalability
• Designs reliable and maintainable systems for small teams
• Makes decisions based on real usage and business needs
• Effective collaboration with frontend teams
• Proactive in understanding frontend workflows
• Responsive to integration issues
• Comfortable in ambiguity and early-stage environments
• Moves systems into production quickly
• Defines scope and makes thoughtful tradeoffs
• Adapts as requirements evolve
• Focus on long-term system health

Experience

Education

Skills

Languages