Prateek C

About

Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.

Experience

Education

Key Strengths

• Built and owned a Python inference service integrating TensorFlow Serving with Java microservices via gRPC
• Performance tuning under heavy load (e.g., ~10,000 concurrent users) using batching, connection pooling, and server tuning to reduce tail latency
• Improved RAG relevance by refining retrieval pipeline, improving embeddings, and creating evaluation scripts against labeled datasets
• Hands-on Kubernetes/EKS deployments for Spring Boot and Python services with autoscaling, health checks, and uptime focus
• Implemented GitOps-style Kubernetes deployments (PR-driven YAML/Helm changes) to eliminate environment drift
• CI/CD optimization (Docker layer caching, parallelized unit vs integration tests) to reduce pipeline time
• Led structured migration from legacy monolith modules to containerized microservices on EKS with gradual traffic cutover and rollback safeguards
• Designed/implemented real-time/event-driven pipelines (Kafka-style pub/sub, Lambda, async queues) with strategies for bursty traffic and predictable latency
• Scaled an AI assistant to handle 10,000+ concurrent requests via architectural changes (load balancing, improved request handling)
• End-to-end delivery of merchant-facing React + TypeScript workflows with explicit loading/empty/error states and polished UX (skeleton loaders, partial-data handling)
• Bridges product UI work with backend/infra improvements (microservices decomposition, caching, query optimization) to improve reliability under peak traffic
• Designed and operated production Python REST services with JWT auth, versioning, consistent error handling, tests, and observability
• AWS production operations experience (EKS/RDS/S3/CloudWatch/ElastiCache) including resolving peak-traffic latency incidents with autoscaling and query optimization
• PostgreSQL schema design for workflow-style product (entities, composite indexes, selective JSONB) with iterative validation and safe migrations