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I'm Nithinraaj J, a Backend Engineer dedicated to architecting high-scale products and innovative tools that bridge technical gaps. Passionate about crafting meaningful AI-driven solutions and exploring the frontiers of MCP, RAG, and NLP. 🛠️🤖
The Engineering Mindset 🧠
Backend Engineer specializing in resilient, high-throughput distributed systems using Java, Go, and Kafka. Focused on cloud-native microservices, event-driven architectures, and Saga-based transaction management. I build scalable AWS data pipelines and automation frameworks that ensure 100% data integrity and peak system performance. ⚡⚙️
70%
Manual Workload Automated
AI-Driven Automation
Led development of SpotterGPT (NLP validation), boosting accuracy by 35% and slashing manual review time by 70%.
45%
Search Speed Improvement
Pipeline Architecture
Architected a real-time ingestion pipeline using Java and Kafka to stream enterprise datasets to AWS S3, utilizing AWS Glue and Athena for sub-second analytical querying.
Monolith → Microservices
Strategic Migration Lead
Microservices Mastery
Designed and deployed 6+ production-grade RESTful APIs, owning the end-to-end development of 3 core modules within a high-availability microservices architecture.
100%
Data Integrity Maintained
System Reliability
Delivered scalable features with 100% data integrity during service cutovers through modular isolation and robust SDLC practices.
Experience
The journey of building enterprise-grade solutions.
Software Engineer 🛡️
Leading architectural innovations in cloud-native microservices and AI-driven security automation. 🤖🛡️
Securonix Deep Dive
Java, Go, Spring Boot, Kafka, AWS (EKS, EMR, S3, Glue), Redis, SQL, Spark.
Led development of SpotterGPT (NLP validation), boosting accuracy by 35% and slashing manual review time by 70%.
Architected a real-time ingestion pipeline using Java and Kafka to stream enterprise datasets to AWS S3, utilizing AWS Glue (ETL) and Amazon Athena to enable high-performance, sub-second analytical querying.
Designed and deployed 6+ production-grade RESTful APIs, owning the end-to-end development of 3 core modules within a high-availability microservices architecture.
Delivered scalable features with 100% data integrity during service cutovers through modular isolation and robust SDLC practices.
Integrated OAuth 2.0 SSO across distributed services to secure sensitive enterprise data.
Product Engineer 🚀
Developed cloud-ready microservices and specialized in GenAI prompt engineering. ☁️⚡
Edgeverve Deep Dive
Java, Spring Boot, Spring Cloud, Microservices, Docker, Kubernetes, Grafana, Amazon S3, Generative AI.
Completed internal certifications in Java, Spring Boot, Spring Cloud, Microservices, and Generative AI & Prompt Engineering. Trained in A-to-A Architecture and scalable system design principles.
Worked on Spring Boot microservice modules, performing bug fixes and minor feature enhancements. Gained hands-on experience with Docker, Kubernetes, Grafana, and Amazon S3 for cloud-ready deployments.
Software Engineer 📊
Optimized data ingestion pipelines and led high-performance database PoCs. 📈🏗️
Opentext Deep Dive
Java, Dropwizard, Spring Boot, Kafka, PostgreSQL, AWS S3, Docker, Kubernetes.
Built a Dropwizard REST API to process Kafka data into S3 Parquet files, improving search speed by 45% and standardizing datasets for high-performance analytical queries.
Spearheaded a performance-focused PoC using PostgreSQL and MongoDB Atlas, optimizing indexes to accelerate data retrieval for high-volume workloads while streamlining deployments via Docker and Kubernetes.
Featured Projects
Complex systems, simplified.
Schema Guard 🛡️
Shift-Left Data Integrity for Apache Kafka.
Intercepts Kafka producer calls via a Java Dynamic Proxy, validating payloads against a remote JSON Schema Registry synchronously before any message reaches the broker. 🚫
Integrated Resilience4j Circuit Breaker with a fail-open strategy — if the Schema Registry is unavailable, the system maintains business continuity while logging structured warnings. ⚡
Caffeine in-memory caching minimises network round-trips to the registry. Configurable TTL ensures freshness without sacrificing throughput. 🏎️
Pure Spring Boot Auto-Configuration — zero code changes required in existing services. Add the dependency, configure topics in application.properties, and you're protected. 🧩
SubstraX 💳
Event-Driven Payment Orchestration.
Engineered a Spring Boot orchestration system using Kafka & Schema Registry for subscription billing with exactly-once processing. 🚀
Implemented Saga Pattern with Idempotency and Timeout handling to maintain consistency across Fraud and Payment services. ⚖️
Secured inter-service traffic via API Gateway and Keycloak (JWT/M2M) for centralized OAuth2 authorization. 🔐
Integrated Resilience4j (Circuit Breakers) and Zipkin (Distributed Tracing) to ensure 99.9% fault tolerance. 📈
Designed an immutable ledger pipeline from Kafka to Amazon S3 for financial reconciliation and audit logging. 📂
Kafka Failure Orchestrator 🤖
AI-Driven Self-Healing Orchestrator.
Developed a high-performance event-driven ecosystem using Go (Gin) and Python (FastAPI), decoupled via Apache Kafka. 🏗️
Engineered a "Self-Healing" loop utilizing an AI Decision Engine to automate failure analysis, reducing manual intervention for transient errors. 🧠
Implemented multi-stage recovery patterns (Retry/DLQ/Resolve) with Kafka Producers/Consumers, ensuring 100% data consistency. ⚖️
Built a real-time monitoring dashboard with Streamlit and PostgreSQL for live auditing of AI decisions and system health metrics. 📊
Optimized deployment using Docker Compose, orchestrating multi-container environments with persistent storage and health-check dependencies. 🐳
Real-Time Data Lake 🌊
Medallion Architecture & Automated ETL.
Architected a Medallion (Bronze/Silver/Gold) storage layer on Amazon S3 for real-time Kafka event ingestion and curated analytics. 🏗️
Automated end-to-end data processing using Apache Airflow DAGs and AWS Glue, reducing manual intervention and streamlining workflows. ⚙️
Implemented AWS Athena for high-performance SQL querying on S3 and utilized CTAS queries for efficient data partitioning. 📊
Developed interactive BI dashboards in Metabase to visualize real-time KPIs for orders, payments, and user activity. 📈
Technical Arsenal 🛠️
Programming Languages
Cloud & Big Data
Backend & API
Mobile & Web
DevOps & Tools
Core Engineering Concepts
Testing & QA
Achievements 🏆
Published Author 📚
Amazon 🔗"How To Become a Pro in Java", ISBN: 979-8507025565. Sold 25+ copies across platforms. 📖✨
Patent Holder 📜
Secured Smart Healthcare Ecosystem using Blockchain & IoT. 🏥🔐
Professional Certifications 📜
Specializing in high-throughput architectures using Java (Spring Boot), Go, and Kafka. Patent holder in Blockchain & IoT. Focused on building the next generation of resilient distributed systems. 🚀
Interest Area 💡
Core System Console 💻
Direct interface to my technical world.