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Sanket Mungikar
Mid-level Software Engineer specializing in backend systems and real-time analytics
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About
Full-stack engineer at BigCommerce who combines customer-facing deployment ownership with hands-on AI/LLM systems work. Built and launched merchant analytics and predictive inventory workflows using React, TypeScript, FastAPI, Kafka, AWS, and RAG-style architectures, and has real production experience debugging non-deterministic AI issues caused by data pipeline freshness and event-ordering problems.
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Key Strengths
- End-to-end ownership of customer deployments
- LLM/RAG production implementation for merchant analytics
- Strong cross-functional stakeholder coordination
- Full-stack architecture design across frontend and backend
- Experience scaling AI workloads with microservices and async AWS infrastructure
- Production incident debugging across Kafka-based data pipelines and LLM context layers
- Phased rollout and post-launch stabilization
- Reliable backend workflow design for messy real-world inputs
- Focus on deterministic fallbacks and validation in AI-enabled systems
- Business-impact orientation around merchant decision-making and retention
- DevOps background (Docker/Kubernetes, CI/CD) applied to reproducible deployments
- Systematic debugging approach using logs, profiling, and instrumentation
- Distributed systems communication design (interfaces, serialization, QoS/retry patterns)
- Self-directed robotics upskilling (ROS2 tutorials, Gazebo simulation, Nav2/slam_toolbox exploration)
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