nimanshu.dev
Hi, I'm —
I build scalable cloud-native enterprise applications using Java, Spring Boot, Kafka, Confluent Kafka, AWS, Azure, and GCP, alongside React, Next.js, TypeScript, Node.js, and Supabase, with a strong focus on distributed architecture, event-driven systems, clean architecture, performance, and production reliability.
About
Full stack cloud-native engineering for enterprise systems
Built around distributed architecture, event-driven systems, enterprise integrations, and end-to-end application delivery.
I build cloud-native enterprise applications end-to-end, combining modern frontend experiences with scalable backend services, streaming architectures, and integration-heavy workflows that need to stay reliable at production scale. My work spans React and Next.js interfaces, Java and Spring Boot services, Confluent Kafka and Kafka Streams pipelines, enterprise messaging, and customs or regulatory filing systems. I focus on clean architecture, resilient delivery patterns, and observability-first operations across cloud platforms.
Core Strength
Frontend-to-backend distributed architecture
Engineering Focus
UI, APIs, streaming, and production reliability
Tech Stack
Full stack technologies, platforms, and delivery tooling
Used to build modern cloud-native enterprise applications from UI to backend to production operations.
Databases / Storage
AI / Coding Agents
Featured Projects
Selected full stack and enterprise application projects
Spanning event-driven systems, regulatory integrations, cloud platforms, APIs, and production-grade distributed workflows.
EventMesh Orders Platform
Cloud-native order orchestration platform using event choreography across bounded-context services and resilient delivery patterns.
- • Implemented idempotent event processing with retry and dead-letter recovery for critical order workflows.
- • Reduced order state propagation latency by 42% through partition strategy and consumer group tuning.
Payment Ledger Core
Enterprise-grade double-entry ledger service for settlement, reconciliation, and auditable payment lifecycle tracking.
- • Designed immutable transaction journals with strict consistency boundaries and replay-safe posting logic.
- • Built reconciliation pipelines for daily settlement verification and mismatch escalation workflows.
Kafka Fraud Stream Analyzer
High-throughput risk analytics stream processing service using stateful enrichment and low-latency scoring paths.
- • Implemented KTable/KStream joins to combine behavioral telemetry with transactional risk indicators in real time.
- • Maintained p95 scoring latency under 120ms while processing sustained high-volume event traffic.
Inventory API Platform
Versioned API platform for catalog and inventory domains with contract governance and production reliability controls.
- • Introduced consumer-driven contract testing to prevent breaking API changes across partner teams.
- • Improved hot-path read performance by 55% with cache key redesign and eviction policy updates.
Experience
Experience snapshot
Recent work across full stack application delivery, streaming architecture, enterprise integrations, and cloud-native reliability.
Software Engineer, Full Stack & Platform
2023 - PresentEnterprise Trade Systems • Toronto, ON
Delivering cloud-native enterprise applications end-to-end across React and Next.js interfaces, Java services, and streaming-driven trade workflows.
- • Built Confluent Kafka and Kafka Streams topologies for trade and customer enrichment with deterministic joins.
- • Delivered UI-to-API workflow improvements across operational dashboards and filing lifecycle experiences.
- • Designed distributed service boundaries for event-driven filing and decision workflows with resilient retry semantics.
- • Improved production reliability through OTLP-based telemetry, service-level SLOs, and actionable runbook standards.
Software Engineer, Full Stack Integration
2021 - 2023Customs Platform Solutions • Toronto, ON
Engineered customs filing products across frontend workflows, backend APIs, and agency gateway services integrating enterprise messaging with legacy systems.
- • Implemented customs submission orchestration across agency integrations with durable queue handoffs and reconciliation workflows.
- • Supported end-to-end filing journeys by connecting UI state transitions with asynchronous backend processing events.
- • Integrated IBM MQ, ActiveMQ Artemis, and DB2-dependent flows into modern microservice architecture patterns.
- • Reduced integration failure rates by introducing message contract validation, replay-safe processing, and retry observability.