Surya Singh

About

ML/backend engineer with PayPal experience building high-stakes production systems, including a GenAI internal support assistant and a real-time fraud scoring pipeline. Strong in Python/FastAPI, model-serving infrastructure, RAG architecture, and production observability, with clear readiness to transition those backend patterns into a TypeScript stack.

Key Strengths

• Owned end-to-end GenAI support assistant backend at PayPal
• Deep ML platform and production model deployment expertise
• Designed RAG pipelines with chunking, hybrid search, and reranking
• Built MCP server with dynamic tool routing to reduce token usage
• Strong production quality discipline with evaluation gates and drift monitoring
• Low-latency, high-correctness backend design in payments/fraud systems
• Experience with idempotency, retries, circuit breakers, and degraded-mode fallbacks
• Strong observability across system and business metrics
• Understands silent failure modes like training-serving skew
• Thoughtful API design with schema validation, versioning, and developer experience focus
• Practical browser automation experience with resilient Playwright patterns
• Language-agnostic backend architecture mindset transferable to TypeScript

Reference Highlights

• strong engineering discipline
• clean code quality
• maintainability-minded
• methodical problem solving
• thorough validation before production changes
• strong observability mindset
• handles silent failures well
• strong edge-case awareness
• high ownership
• takes ambiguous problems from idea to rollout
• works independently without hand-holding
• checks in appropriately
• not a cowboy
• solid fundamentals
• quick ramp potential on new languages
• deep payment-domain understanding
• builds resilient systems
• writes code others can maintain
• significantly reduced token costs
• improved monitoring granularity

Experience

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