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Hi, I'm Nandu Manikantan Nair Shaily, a Senior AI Full Stack Developer with 5 years of experience building AI-driven, cloud-native systems across retail and enterprise platforms. I specialize in Java, Spring Boot, Node.js, React, and AWS, with a focus on microservices, Kubernetes, and MLOps. I've delivered 40+ AI microservices using LangChain, OpenAI APIs, and vector databases to achieve sub-200 ms latency and personalized experiences. I enjoy designing scalable architectures, migrating legacy workloads to cloud, and automating deployment pipelines to accelerate reliable releases.…Hi, I'm Nandu Manikantan Nair Shaily, a Senior AI Full Stack Developer with 5 years of experience building AI-driven, cloud-native systems across retail and enterprise platforms. I specialize in Java, Spring Boot, Node.js, React, and AWS, with a focus on microservices, Kubernetes, and MLOps. I've delivered 40+ AI microservices using LangChain, OpenAI APIs, and vector databases to achieve sub-200 ms latency and personalized experiences. I enjoy designing scalable architectures, migrating legacy workloads to cloud, and automating deployment pipelines to accelerate reliable releases.

Nandu Manikantan Nair Shaily

Full Stack Developer, Web Developer, Front-End Developer, +3

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Hi, I'm Nandu Manikantan Nair Shaily, a Senior AI Full Stack Developer with 5 years of experience building AI-driven, cloud-native systems across retail and enterprise platforms. I specialize in Java, Spring Boot, Node.js, React, and AWS, with a focus on microservices, Kubernetes, and MLOps. I've delivered 40+ AI microservices using LangChain, OpenAI APIs, and vector databases to achieve sub-200 ms latency and personalized experiences. I enjoy designing scalable architectures, migrating legacy workloads to cloud, and automating deployment pipelines to accelerate reliable releases.…Hi, I'm Nandu Manikantan Nair Shaily, a Senior AI Full Stack Developer with 5 years of experience building AI-driven, cloud-native systems across retail and enterprise platforms. I specialize in Java, Spring Boot, Node.js, React, and AWS, with a focus on microservices, Kubernetes, and MLOps. I've delivered 40+ AI microservices using LangChain, OpenAI APIs, and vector databases to achieve sub-200 ms latency and personalized experiences. I enjoy designing scalable architectures, migrating legacy workloads to cloud, and automating deployment pipelines to accelerate reliable releases.

Available to hire

Hi, I’m Nandu Manikantan Nair Shaily, a Senior AI Full Stack Developer with 5 years of experience building AI-driven, cloud-native systems across retail and enterprise platforms. I specialize in Java, Spring Boot, Node.js, React, and AWS, with a focus on microservices, Kubernetes, and MLOps.

I’ve delivered 40+ AI microservices using LangChain, OpenAI APIs, and vector databases to achieve sub-200 ms latency and personalized experiences. I enjoy designing scalable architectures, migrating legacy workloads to cloud, and automating deployment pipelines to accelerate reliable releases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Fluent

English

Fluent

Work Experience

Full Stack Developer at Morgan Stanley

July 1, 2024 - Present

Led redesign of a corporate loan system using Java 17, Spring Boot, and Hibernate, automating risk assessment workflows and improving underwriting consistency for high-net-worth institutional clients. Rebuilt an internal trading dashboard with React.js, TypeScript, and Tailwind CSS, delivering near real-time visibility and boosting analyst productivity by 26%. Optimized PostgreSQL transaction settlement modules, reducing daily reconciliation delays by 31%. Deployed containerized microservices on AWS (ECS) with CloudWatch for monitoring, improving reliability and reducing infrastructure overhead by 22%. Guided CI/CD workflows with GitHub Actions and AWS CodePipeline, coordinating Docker and Kubernetes to accelerate releases and reduce build failures.

FullStack Developer at JPMorgan Chase & Co

June 1, 2024 - September 16, 2025

Collaborated with product managers and frontend teams to deliver a portfolio tracking tool using Spring Boot, Spring MVC, and Bootstrap, increasing advisor engagement by 28%. Integrated multiple third-party banking APIs into the core transaction engine, enabling faster high-volume transfers and improving backend reliability during peak operations. Optimized backend SQL queries with Spring Data JPA and PostgreSQL, reducing response times by ~25% and improving stability during monthly rollovers. Implemented KYC workflow with Java, Hibernate, and RESTful APIs, improving audit readiness and reducing manual tracking errors. Built CI/CD pipelines with Jenkins and GitHub Actions for Java and React apps, reducing release time by 40%.

Full Stack Developer at Macro Software Solutions

November 1, 2022 - September 16, 2025

Built core modules of a finance reconciliation system using Java, Spring Boot, and PostgreSQL, automating ledger comparisons and reducing reconciliation time by 42%. Implemented secured RESTful APIs for transactions, authentication, and audit tracking, cutting manual processing time by 30% and supporting bi-annual financial audits. Designed WCAG-compliant UIs with HTML/CSS/JavaScript to improve accessibility and reduce submission errors. Conducted API testing with Postman and frontend debugging with Chrome DevTools, lowering UAT bug reports by 35%. Deployed microservices on AWS EC2 with Docker and CloudWatch, boosting deployment reliability and maintaining 99.8% uptime during closings. Participated in Agile ceremonies via Jira.

Full Stack Developer at Morgan Stanley

July 1, 2024 - Present

Led redesign of a corporate loan system using Java 17, Spring Boot, and Hibernate to automate risk assessment workflows and improve underwriting for high-net-worth institutional clients. Revamped internal trading dashboard with React.js, TypeScript, and Tailwind CSS, boosting real-time visibility of positions and analyst productivity. Optimized PostgreSQL-based transaction settlement modules, reducing daily reconciliation delays for investment banking operations. Deployed containerized microservices on AWS (ECS) with CloudWatch for scalable backend performance and monitoring. Managed CI/CD pipelines with GitHub Actions and AWS CodePipeline, integrating Docker and Kubernetes to accelerate releases.

FullStack Developer at JPMorgan Chase & Co

June 1, 2024 - September 16, 2025

Collaborated with product managers and frontend teams to build a portfolio tracking tool using Spring Boot, Spring MVC, and Bootstrap; enabled advisors to monitor asset changes and generate reports, increasing client interactions by 28%. Integrated multiple third-party banking APIs into the main transaction engine via secure Java-based service layers, enabling faster interbank transfers and improved reliability during peak operations. Redesigned backend logic with Spring Data JPA and PostgreSQL, reducing query response time by ~25% and improving stability during monthly rollovers. Contributed to KYC workflow using Java, Hibernate, and RESTful APIs, tracking verification status and improving audit readiness. Built CI/CD pipelines using Jenkins and GitHub Actions for Java and React apps, automating tests and deployments and cutting release time by 40%.

Full Stack Developer at Macro Software Solutions

November 1, 2022 - September 16, 2025

Built and enhanced core modules of a finance reconciliation system using Java, Spring Boot, and PostgreSQL, automating ledger comparisons and reducing reconciliation time by 42% through structured validation and exception flagging. Engineered secure RESTful APIs for transactions, authentication, and audit tracking, reducing manual processing time by 30% and supporting audits during bi-annual financial closings. Architected WCAG-compliant user interfaces using HTML, CSS, and JavaScript, improving accessibility and reducing form submission errors. Performed API testing with Postman and frontend debugging with Chrome DevTools, lowering UAT bug reports by 35%. Implemented microservices on AWS EC2 with Docker and CloudWatch, improving deployment rollback reliability and achieving 99.8% uptime during quarterly closings. Participated in Agile ceremonies via Jira and delivered production-ready features on time with fewer change requests in over 90% of sprints.

Full Stack Developer at Morgan Stanley

July 1, 2024 - Present

Led redesign of a corporate loan system using Java 17, Spring Boot, and Hibernate, automating risk assessment workflows and improving underwriting consistency for high-net-worth institutional clients. Revamped internal trading dashboard UI with React.js, TypeScript, and Tailwind CSS, enhancing real-time visibility into positions and boosting analyst productivity by 26%. Optimized PostgreSQL-based transaction settlement modules, reducing daily reconciliation delays by 31%. Deployed containerized microservices on AWS using ECS and CloudWatch, improving reliability and reducing infrastructure overhead by 22% for high-traffic financial applications. Managed CI/CD workflows with GitHub Actions and AWS CodePipeline, integrating Docker and Kubernetes to streamline deployments across cross-functional teams.

FullStack Developer at JPMorgan Chase & Co

June 1, 2024 - September 16, 2025

Collaborated with product managers and frontend teams to build a portfolio tracking tool using Spring Boot, Spring MVC, and Bootstrap, enabling advisors to monitor asset changes and generate reports, boosting client interaction by 28%. Integrated multiple third-party banking APIs into the main transaction engine via secure Java-based service layers, enabling faster processing of large-volume interbank transfers and improved backend reliability during peak operations. Redesigned backend logic by optimizing SQL queries and data flow with Spring Data JPA and PostgreSQL, reducing query response time by nearly 25% and improving stability during monthly rollovers. Worked on KYC documentation workflow using Java, Hibernate, and RESTful APIs, reducing manual tracking errors and improving audit readiness. Constructed and maintained CI/CD pipelines using Jenkins and GitHub Actions for Java and React applications, reducing release time by 40% and minimizing manual errors.

Full Stack Developer at Macro Software Solutions

November 1, 2022 - September 16, 2025

Built and enhanced core modules of a finance reconciliation system using Java, Spring Boot, and PostgreSQL, automating ledger comparisons and reducing reconciliation time by 42%. Engineered secured RESTful APIs to manage transactions, user authentication, and audit tracking, helping reduce manual processing time by 30% and supporting compliance checks during bi-annual financial audits. Architected WCAG-compliant user interfaces using HTML, CSS, and JavaScript, improving accessibility and reducing form submission errors. Performed API testing with Postman and frontend testing with Chrome DevTools, helping identify and fix integration issues before staging deployment and reducing UAT bug reports by 35%. Implemented microservices on AWS EC2 using Docker containers and monitored with CloudWatch, improving deployment rollback reliability and maintaining 99.8% uptime during quarterly closings. Participated in Agile ceremonies via Jira and collaborated with QA and finance stakeholders to deli

Senior AI Full Stack Developer at Amazon

January 1, 2024 - November 18, 2025

Delivered scalable AI-driven microservices for personalized recommendations and demand forecasting, enhancing prediction accuracy for customer purchasing patterns while maintaining sub-200 ms inference latency using Java Spring Boot, FastAPI, and AWS ECS. Built a Retrieval-Augmented Generation (RAG) framework with LangChain and OpenAI APIs for contextual data from 60M+ records, enabling real-time business insights across product, inventory, and customer datasets. Built interactive React + Node.js + D3 dashboards for inventory health, customer sentiment, and delivery performance. Architected cloud-native AI systems on AWS Lambda, S3, API Gateway, and CloudWatch, achieving near-zero downtime and cost efficiency. Containerized 40+ AI microservices with Docker and Kubernetes (EKS); automated deployments via GitHub Actions across multiple regions. Developed an internal Generative AI assistant to summarize cases for Seller Support, reducing manual review time from 20 to 3 minutes. Implemente

Full Stack Developer at LTIMindtree

November 1, 2022 - November 1, 2022

Engineered Spring Boot microservices for an order and inventory management system handling 1.2M+ daily transactions, ensuring synchronization between product catalogs, order statuses, and payments across omnichannel retail touchpoints. Built React + TypeScript dashboards for real-time stock visibility used by 300+ store managers. Refactored core inventory from MySQL to PostgreSQL with partitioned tables and indexing, boosting reconciliation performance by 65% during spikes. Integrated Node.js middleware and RESTful APIs to connect pricing, promotions, and checkout, reducing cross-service latency by 40%. Implemented CI/CD pipelines via Jenkins and GitHub Actions to AWS EKS, cutting release overhead. Tuned PostgreSQL queries enabling 5K+ concurrent users. Integrated AI-driven product recommendations using Python (FastAPI) and AWS SageMaker, boosting conversion. Automated integration/regression tests with JUnit, Postman, Cypress for 98% API test coverage. Designed GraphQL Gateway with Apo