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Asvad Shaik
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
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Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.
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Key Strengths
- Designed and evolved large-scale document intelligence backend handling millions of pages
- Architected modular/service-oriented backend separating ingestion, parsing, ML classification, LLM/RAG reasoning, and validation
- Cost/latency optimization by reducing indiscriminate LLM usage with confidence scoring and fallback logic
- Built enterprise-ready, deterministic and auditable validation/post-processing layers
- Led low-risk monolith-to-modular migration using feature flags, parallel run, gradual traffic shifting, and rollback readiness (no downtime)
- Production-grade API reliability/security practices (strict validation, async performance, retries/timeouts, idempotency, JWT/OAuth, RBAC, rate limiting, secrets management)
- Implemented defense-in-depth data security with PostgreSQL RLS as a hard boundary
- Proactively identified and mitigated document-processing edge cases to prevent silent failures
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