Backend Systems
Architecture trade-offs, reliability, scale, and incident response for production services.
Deep-dive articles on System Design, Java, Kafka, Redis, AI/ML, and AWS — from an Engineering Manager with 10+ years building distributed systems at scale.

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Architecture trade-offs, reliability, scale, and incident response for production services.
Spring Boot readiness, JVM behavior, connection pools, and performance tuning.
A step-by-step interview track for complexity analysis, core patterns, and clean Java solutions.
Database performance, cache invalidation, indexing, and production data access patterns.
Consumer lag, reliable publishing, exactly-once trade-offs, and event-driven systems.
RAG, embeddings, feature stores, agents, and production AI infrastructure.
Fresh practical guides and deep dives worth your time
While Binary Search Trees (BST) and AVL trees are great for in-memory operations, they perform poorly when data is stored on disk. This is where B-Trees and B+ Trees shine. They are the underlying data structures for alm…
Introduction to Bellman-Ford Algorithm Bellman-Ford Algorithm is a single-source shortest path algorithm that works on weighted graphs, including those with negative edge weights. Unlike Dijkstra's algorithm, which fails…
While Dijkstra's algorithm is faster for most shortest-path problems, it fails when the graph contains negative edge weights. For those scenarios, we use the Bellman-Ford algorithm. Not only does it handle negative weigh…
A Bloom Filter is a space-efficient probabilistic data structure used to test whether an element is a member of a set. It is unique because it can give two types of answers: 1. "Possibly in set": The element might be the…
I'm a Technical Lead / Architect at Redwood Software, with over 10 years of backend engineering across fintech, enterprise SaaS, and early-stage startups.
I've worked at Paytm, ServiceNow, Threado AI, Paysafe, Accion Labs, and TCS — building systems that process payments at scale, integrating enterprise platforms, and leading teams through complex data migrations and architectural transitions.
CodeSprintPro is where I share what I've learned from building production systems — the real patterns, the real trade-offs, and the decisions that only make sense once you've seen a system fail at 2am.
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Selected projects from 10 years of building backend systems across payments, enterprise SaaS, and startups.
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139 in-depth articles on Kafka, Redis, System Design, Java 21, AWS, and distributed systems — the site you're reading right now.
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