Sathish Kumar Soundharajan

About Sathish Kumar Soundharajan

Staff Software Engineer & Technical Lead with over 10 years of experience architecting high-scale distributed systems for global enterprises including Samsung, State Street, and L’Oreal. I specialize in modernizing legacy infrastructure into resilient, high-profit platforms that bridge the gap between complex engineering and strategic business goals.Core Competencies & Impact:* High-Scale Systems: Engineered the \"Next-Gen\" Order Management and Shopping Cart engines handling 60k carts/minute and 50M requests/day during flagship launches.* Financial Engineering: Designed fraud detection (ML/XGBoost) and refund automation systems that prevented $10M in annual losses and reduced revenue leakage by 5%.* Security Architecture: Led the platform-wide Field-Level Encryption (FLE) initiative, securing PII across 30+ microservices with zero downtime.* AI Innovation: Winner of the AWS Hackathon (1st Place); currently architecting the \"Conversational Commerce\" AI Storefront as part of the 2026 digital roadmap.* Technical Leadership: Mentoring a team of 15+ engineers while governing architecture for domains including SSO, Payments, and Identity Management.Technical Arsenal:Core & Frameworks: Node.js, Python, Hapi.js, Express.js, FastAPI, Lua (Scripting).Data & Storage: CockroachDB, PostgreSQL, KeyDB (Multi-Master), Redis, Elasticsearch, DynamoDB, Vector Embeddings.Distributed Systems: Kubernetes (K8s), RabbitMQ, Kafka, Cronicle (Distributed Scheduling), AWS Lambda (Response Streaming), Pub/Sub, Outbox Pattern.Observability & DevOps: OpenTelemetry (OTel), Grafana Mimir, Jaeger, Prometheus, Docker, Jenkins, Infrastructure as Code (IaC).AI & Security: Generative AI (LLMs/RAG/qwen3), XGBoost, Field-Level Encryption (FLE), OAuth2/SSO, KMS.

Experience

1. Staff Software Engineer

   Samsung Electronics

   Feb 2025 — Present · Mountain View, CA, US

   Leading AI/ML Innovation & eCommerce Roadmap* Fraud Prevention (ML): Architected a Reseller Fraud Detection Engine using XGBoost and GCP, preventing $10M in annual losses by identifying high-volume arbitrage rings.* Conversational Commerce: Leading the architecture of the multi-lingual AI shopping assistant using qwen3:32b LLMs and RAG, transforming it from a prototype to a funded enterprise program.* Strategic Innovation: Bridging the gap between Generative AI prototypes and core Order Management systems to drive next-gen user experiences.Tech Stack: Node.js, Python, FastAPI, Vector Embeddings, PostgreSQL, Redis, AI Agents, LLM, RAG

Education

• Shri Angalamman College of Engineering and Technology

  Bachelor's degree, Electrical, Electronics and Communications Engineering

  2009 — 2013