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Rishabhh Garg
Software Engineer specializing in full-stack development and AI/ML automation
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About
Backend Python engineer focused on production-grade automation and reliability, with hands-on experience designing scalable API systems on PostgreSQL and making pragmatic architecture calls (modular monolith over premature microservices). Demonstrated measurable performance wins (50–60% latency reduction) and strong operational rigor via observability, incremental rollouts/feature flags, and security patterns like JWT + RBAC + database row-level security.
Experience
Education
Key Strengths
- Backend architecture decisions with clear tradeoff analysis (modular monolith vs microservices)
- Building scalable, low-latency Python API layers with strong data modeling and observability
- Performance tuning under load (profiling, query refactors, indexing, caching, async) achieving 50–60% latency reduction
- Risk-managed refactors/migrations using tests, data validation, feature flags, and incremental rollout
- Production security implementation (JWT auth, RBAC, database RLS, audit logging)
- Proactive identification of concurrency edge cases (ID collision/race conditions) with deterministic ID strategy and transactional safeguards
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