Mansi Lende profile photo 1 on Tal

Mansi Lende

Software Engineer @ JPMorgan Chase & Co. | Ex-Amazon | IIIT Nagpur’21

Greater Bengaluru Area

5+ years of work experience

JPMorgan Chase & Co.
Apr 20242 yrs 6 mosPresent

Bengaluru, Karnataka, India

Engineered AI-enabled GitHub Copilot workflows for automated code reviews, unit test generation, refactoring, and technical documentation, reducing developer effort by 20% while improving code quality and review efficiency. Architected and developed a standards-driven Tile Registration System using Java, React, Next.js, Payload CMS, and Amazon Aurora, enabling metadata governance, approval workflows, and reliable downstream data orchestration across distributed teams. Enhanced SEO by extending structured schema markup with Author and FAQ metadata, improving search engine indexing, rich search result eligibility, and overall content discoverability. Built and managed cloud-native application infrastructure using AWS (ECS, S3, SNS), Docker, Jenkins, Datadog, Dynatrace, and Splunk, strengthening CI/CD automation, application observability, deployment reliability, and production monitoring. Engineered a Version History feature and dynamic URL-driven form rendering, enhancing application usability, auditability, and context-aware user experiences while improving traceability and reducing support overhead. Remediated 90+ SonarQube findings including bugs, vulnerabilities, code smells, and cognitive complexity issues in a single sprint by leveraging AI-assisted analysis and targeted refactoring, significantly improving code quality, maintainability, and release readiness. Designed and enhanced enterprise Content Management solutions using Adobe Experience Manager (AEM), Java, Spring Boot, React, and AWS, delivering scalable, high-performance content publishing and digital experience capabilities.
Amazon
Mar 20222 yrs 1 moMar 2024

Bengaluru, Karnataka, India

Architected a Retrieval-Augmented Generation (RAG) platform for an LLM-powered vendor chatbot using Amazon S3, AWS Lambda, and Amazon Kendra, enabling context-aware information retrieval and improving the relevance and accuracy of vendor interactions. Built an AI-powered on-call assistant that ingests SOP documentation and incident tickets, using LLM-based retrieval which sped up incident response time for on-call engineers, reducing time-to-diagnosis during incidents. Engineered scalable full-stack enhancements for an enterprise report generation platform using Java, React, AWS Lambda, DynamoDB, and Amazon S3, enabling seamless export of PDF, PowerPoint, and Excel reports with improved performance and user experience. Designed and developed a centralized Configuration Management System with secure RESTful APIs for access control, schema management, and bulk data operations across DynamoDB and Amazon S3, improving data governance, consistency, and operational efficiency. Built a distributed Knowledge Graph Traversal framework leveraging AWS Lambda, Amazon SQS, Amazon S3, and DynamoDB to automate large-scale article discovery, metadata extraction, & persistent storage for knowledge-driven applications. Owned production operations via on-call support, CI/CD deployments, pipeline monitoring, and rapid resolution of customer-impacting defects, latency issues, and service incidents, ensuring high platform availability and operational reliability.
LTI - Larsen & Toubro Infotech
Jul 20219 mosMar 2022

Bengaluru, Karnataka, India

BIZSENSE Solutions Private Limited
Jul 20206 mosDec 2020

Nagpur, Maharashtra, India

Bennett University
May 20202 mosJun 2020

India

Worked on Analysis of Feature Extraction and classification Techniques on EEG Dataset.

Mansi’s AI Stack

antigravity
antigravity
claude code
claude code
github copilot
github copilot

Education

B.Tech., Computer Science

Indian Institute of Information Technology, Nagpur

20174 yrs2021

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Headline

Software Engineer @ JPMorgan Chase & Co. | Ex-Amazon | IIIT Nagpur’21

About

I am a software Development Engineer with 5+ years of experience designing and delivering scalable, cloud-native, full-stack applications across Financial Services, E-commerce, and Enterprise Content Management domains, with a strong focus on customer-centric software engineering. I hold expertise in Java, Spring Boot, React, Next.js, JavaScript, AWS, Distributed Systems, REST APIs, Microservices, RAG-based AI solutions, and cloud-native architectures, with hands-on experience across the complete software development lifecycle. Proven track record of architecting end-to-end systems, building high-performance backend services, intuitive frontend applications, and AI-powered solutions while leveraging AWS services, event-driven architectures, and modern engineering practices to deliver scalable, resilient, and maintainable platforms.

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

github copilot

Work experience

Software Engineer at JPMorgan Chase & Co., Apr 2024 - Present · 2 yrs 6 mos, Bengaluru, Karnataka, India, Engineered AI-enabled GitHub Copilot workflows for automated code reviews, unit test generation, refactoring, and technical documentation, reducing developer effort by 20% while improving code quality and review efficiency. Architected and developed a standards-driven Tile Registration System using Java, React, Next.js, Payload CMS, and Amazon Aurora, enabling metadata governance, approval workflows, and reliable downstream data orchestration across distributed teams. Enhanced SEO by extending structured schema markup with Author and FAQ metadata, improving search engine indexing, rich search result eligibility, and overall content discoverability. Built and managed cloud-native application infrastructure using AWS (ECS, S3, SNS), Docker, Jenkins, Datadog, Dynatrace, and Splunk, strengthening CI/CD automation, application observability, deployment reliability, and production monitoring. Engineered a Version History feature and dynamic URL-driven form rendering, enhancing application usability, auditability, and context-aware user experiences while improving traceability and reducing support overhead. Remediated 90+ SonarQube findings including bugs, vulnerabilities, code smells, and cognitive complexity issues in a single sprint by leveraging AI-assisted analysis and targeted refactoring, significantly improving code quality, maintainability, and release readiness. Designed and enhanced enterprise Content Management solutions using Adobe Experience Manager (AEM), Java, Spring Boot, React, and AWS, delivering scalable, high-performance content publishing and digital experience capabilities.

SDE at Amazon, Mar 2022 - Mar 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, Architected a Retrieval-Augmented Generation (RAG) platform for an LLM-powered vendor chatbot using Amazon S3, AWS Lambda, and Amazon Kendra, enabling context-aware information retrieval and improving the relevance and accuracy of vendor interactions. Built an AI-powered on-call assistant that ingests SOP documentation and incident tickets, using LLM-based retrieval which sped up incident response time for on-call engineers, reducing time-to-diagnosis during incidents. Engineered scalable full-stack enhancements for an enterprise report generation platform using Java, React, AWS Lambda, DynamoDB, and Amazon S3, enabling seamless export of PDF, PowerPoint, and Excel reports with improved performance and user experience. Designed and developed a centralized Configuration Management System with secure RESTful APIs for access control, schema management, and bulk data operations across DynamoDB and Amazon S3, improving data governance, consistency, and operational efficiency. Built a distributed Knowledge Graph Traversal framework leveraging AWS Lambda, Amazon SQS, Amazon S3, and DynamoDB to automate large-scale article discovery, metadata extraction, & persistent storage for knowledge-driven applications. Owned production operations via on-call support, CI/CD deployments, pipeline monitoring, and rapid resolution of customer-impacting defects, latency issues, and service incidents, ensuring high platform availability and operational reliability.

ServiceNow Developer at LTI - Larsen & Toubro Infotech, Jul 2021 - Mar 2022 · 9 mos, Bengaluru, Karnataka, India

SDE Intern at BIZSENSE Solutions Private Limited, Jul 2020 - Dec 2020 · 6 mos, Nagpur, Maharashtra, India

Deep Learning Intern at Bennett University, May 2020 - Jun 2020 · 2 mos, India, Worked on Analysis of Feature Extraction and classification Techniques on EEG Dataset.

Education

B.Tech., Computer Science, Indian Institute of Information Technology, Nagpur