Architectural Case Studies
Explore enterprise-grade architectures, distributed microservices, and Agentic AI workflows successfully shipped and scaled by Ritesh Singh.
High-Frequency Microservices Architecture
Migrated a critical legacy monolith to a distributed event-driven microservices architecture using Springboot, Java 21, and Kafka.
Reduced server latency by 45%, eliminated single points of failure, and enabled seamless 10x traffic scaling during holiday peak events.
Enterprise RAG & Agentic AI Tooling
Designed a secure, semantic search engine across millions of proprietary internal documents using highly optimized Vector Databases, LangChain, and advanced local LLMs.
Saved engineering and support teams an estimated 15+ hours weekly in document traversal, increasing overall operational efficiency by 30%.
Cloud-Native Serverless Data Pipeline
Architected a fully automated, horizontally scalable data ingestion pipeline leveraging AWS Lambda, S3, and Azure Data Factory to process terabytes of raw structured and unstructured data.
Reduced infrastructure compute costs by 60% while decreasing data processing times from hours to near real-time minutes.
Centralized Caching & Identity Gateway
Built a universal, high-throughput authentication gateway integrating Redis caching and OAuth 2.0 to handle millions of secure login requests globally.
Achieved 99.999% uptime for authentication routing and lowered database read latency to sub-millisecond tiers.
AI-Powered Dynamic Pricing Engine
Developed a rapid evaluation pricing model using Python and custom heuristic algorithms to adjust inventory pricing in real-time based on competitor scraping and demand metrics.
Maximized profit margins by 12% in the first quarter and prevented stock-out events across 5 major product categories.
Multi-Region Database Sharding System
Orchestrated a massive database partitioning strategy across globally distributed Cassandra and PostgreSQL clusters to comply with distinct regional data privacy laws.
Solved severe compliance constraints natively while achieving ultra-fast localized read/write speeds for users across North America and Europe.