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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Follow a practical track and build momentum from fundamentals to production trade-offs.
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
When dealing with large trees, performing path queries (like finding the maximum value on a path between two nodes) or path updates can be slow. A naive approach takes $O(N)$, and while Segment Trees work for arrays, the…
While Heavy-Light Decomposition (HLD) is excellent for static trees, it struggles with dynamic trees where edges are frequently added or removed. Link-Cut Trees (LCT) are the solution to this problem, allowing us to main…
When it comes to string processing, the Suffix Automaton (SAM) is often considered the most powerful data structure. It is a minimal Deterministic Finite Automaton (DFA) that recognizes all suffixes of a given string. Wh…
API Rate Limiting at Scale with Redis Rate limiting is essential for protecting your APIs from abuse, ensuring fair usage, and preventing cascading failures. Redis is the ideal store for rate limiting because of its spee…
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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245 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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Earlier writing on Java, Spring Boot, and system architecture. 100K+ views across published articles.
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Active contributor with answers focused on Java, Spring Boot, and database optimization.
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