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I am a Software Engineer with 5+ years of experience in building scalable, reliable systems powering intelligent applications. I specialize in Java, Python, and Node.js, with a strong background in microservices, API design, and cloud-native deployment on AWS. Recently I have focused on integrating AI and machine learning services into production deploying inference pipelines, optimizing data flows, and building APIs that connect backend systems with LLMs and recommendation models. I’m passionate about clean, maintainable code, collaboration with cross-functional teams, and using modern technologies to make software smarter and more efficient.…I am a Software Engineer with 5+ years of experience in building scalable, reliable systems powering intelligent applications. I specialize in Java, Python, and Node.js, with a strong background in microservices, API design, and cloud-native deployment on AWS. Recently I have focused on integrating AI and machine learning services into production deploying inference pipelines, optimizing data flows, and building APIs that connect backend systems with LLMs and recommendation models. I’m passionate about clean, maintainable code, collaboration with cross-functional teams, and using modern technologies to make software smarter and more efficient.

Manojkumar Arroju

Full Stack Developer, Back-End Developer, Web Developer, +2

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I am a Software Engineer with 5+ years of experience in building scalable, reliable systems powering intelligent applications. I specialize in Java, Python, and Node.js, with a strong background in microservices, API design, and cloud-native deployment on AWS. Recently I have focused on integrating AI and machine learning services into production deploying inference pipelines, optimizing data flows, and building APIs that connect backend systems with LLMs and recommendation models. I’m passionate about clean, maintainable code, collaboration with cross-functional teams, and using modern technologies to make software smarter and more efficient.…I am a Software Engineer with 5+ years of experience in building scalable, reliable systems powering intelligent applications. I specialize in Java, Python, and Node.js, with a strong background in microservices, API design, and cloud-native deployment on AWS. Recently I have focused on integrating AI and machine learning services into production deploying inference pipelines, optimizing data flows, and building APIs that connect backend systems with LLMs and recommendation models. I’m passionate about clean, maintainable code, collaboration with cross-functional teams, and using modern technologies to make software smarter and more efficient.

Available to hire

I am a Software Engineer with 5+ years of experience in building scalable, reliable systems powering intelligent applications. I specialize in Java, Python, and Node.js, with a strong background in microservices, API design, and cloud-native deployment on AWS.

Recently I have focused on integrating AI and machine learning services into production deploying inference pipelines, optimizing data flows, and building APIs that connect backend systems with LLMs and recommendation models. I’m passionate about clean, maintainable code, collaboration with cross-functional teams, and using modern technologies to make software smarter and more efficient.

Skills

Experience Level

Expert

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Expert

Work Experience

Software Engineer at JPMorgan Chase & Co.

January 1, 2025 - Present

Architected a data ingestion system handling 1.2 million events per hour, reducing processing latency by 35% and improving cross-team data availability through asynchronous Kafka-based streaming. Orchestrated a real-time fraud detection module leveraging Python microservices and AWS Lambda, enhancing transaction monitoring accuracy by 22% while reducing false positives. Deployed containerized services across ECS and EKS clusters, achieving 99.98% uptime and automated failover recovery for internal banking APIs supporting 12 global teams. Constructed RESTful APIs for financial data aggregation, cutting internal report generation time from five hours to 40 minutes and improving data transparency across BI systems. Optimized PostgreSQL query plans and indexing strategies, lowering monthly compute costs by 18% and improving average query execution speed to 0.8s. Integrated AWS CloudWatch metrics with Grafana dashboards, enabling 24/7 monitoring and improving issue detection speed by 40% th

Software Developer at R-Financial

January 1, 2022 - August 1, 2023

Engineered a portfolio management backend serving 50,000+ clients, boosting transaction throughput and ensuring 99.9% uptime under peak trading conditions. Re-architected 20+ monolithic services into microservices, reducing deployment cycles to 4 days, significantly improving feature delivery speed and resilience. Devised asynchronous event handling pipelines using RabbitMQ, cutting data synchronization delay by 55% and supporting real-time portfolio updates. Implemented and secured REST APIs handling 200,000+ daily requests, achieving 99.9% reliability and enforcing strong authentication through JWT-based validation layers. Enhanced caching layers with Redis and Memcached, reducing dashboard load times by 60% and lowering overall read latency to 160ms. Automated CI/CD pipelines with Jenkins and Docker, decreasing manual deployment failures by 90% while enabling parallel testing across 5 staging environments. Executed system performance profiling and SQL tuning, improving query efficie

Software Developer Intern at Vivma Software Inc

June 1, 2021 - December 1, 2021

Designed backend modules for a B2B analytics platform serving 1,000+ users, increasing API responsiveness by 45% and ensuring smooth scalability during user spikes. Configured internal logging with the ELK stack, reducing debugging time by 30% through centralized monitoring and structured error visualization. Containerized Node.js services using Docker, accelerating environment setup by 70% and maintaining consistent runtime behavior across local and cloud deployments. Coordinated with senior engineers to introduce JWT-based authentication across five APIs, achieving 100% session validation accuracy and strengthening client security. Authored automated test suites using Jest and Postman, increasing backend test coverage to 85% and reducing post-release defects. Performed load testing using JMeter with 10,000 concurrent users, validating scalability metrics and ensuring stable throughput under heavy simulated traffic. Refactored legacy scripts for data transformation, improving ETL job