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Software Engineer with experience in backend and full-stack development, currently working at JPMorgan Chase. Skilled in Java, Spring Boot, REST APIs, microservices, SQL databases, and modern frontend technologies such as React and Next.js. Experienced in building scalable applications, integrating APIs and SDKs, and working across end-to-end software development workflows. Passionate about system design, problem-solving, and building impactful technology solutions while continuously learning modern engineering practices and tools.…Software Engineer with experience in backend and full-stack development, currently working at JPMorgan Chase. Skilled in Java, Spring Boot, REST APIs, microservices, SQL databases, and modern frontend technologies such as React and Next.js. Experienced in building scalable applications, integrating APIs and SDKs, and working across end-to-end software development workflows. Passionate about system design, problem-solving, and building impactful technology solutions while continuously learning modern engineering practices and tools.

Riddhi Kohli

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

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Software Engineer with experience in backend and full-stack development, currently working at JPMorgan Chase. Skilled in Java, Spring Boot, REST APIs, microservices, SQL databases, and modern frontend technologies such as React and Next.js. Experienced in building scalable applications, integrating APIs and SDKs, and working across end-to-end software development workflows. Passionate about system design, problem-solving, and building impactful technology solutions while continuously learning modern engineering practices and tools.…Software Engineer with experience in backend and full-stack development, currently working at JPMorgan Chase. Skilled in Java, Spring Boot, REST APIs, microservices, SQL databases, and modern frontend technologies such as React and Next.js. Experienced in building scalable applications, integrating APIs and SDKs, and working across end-to-end software development workflows. Passionate about system design, problem-solving, and building impactful technology solutions while continuously learning modern engineering practices and tools.

Available to hire

Software Engineer with experience in backend and full-stack development, currently working at JPMorgan Chase. Skilled in Java, Spring Boot, REST APIs, microservices, SQL databases, and modern frontend technologies such as React and Next.js. Experienced in building scalable applications, integrating APIs and SDKs, and working across end-to-end software development workflows. Passionate about system design, problem-solving, and building impactful technology solutions while continuously learning modern engineering practices and tools.

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Work Experience

Software Engineer at JP Morgan Chase

August 1, 2023 - Present

AI, ML & Data Platform Engineering: Built scalable backend services handling large-scale event data, enabling low-latency real-time processing and prediction workflows. Designed fault-tolerant backend workflows for data processing and real-time inference integration. Developed GenAI-powered automation workflows for inquiry resolution, reducing support tickets by 30% and improving response efficiency. Engineered a real-time analytics platform processing large-scale event data, improving reporting efficiency by 25%. Integrated ML predictions into business dashboards, enabling data-driven decision making. Architected scalable AWS data pipelines using S3, Glue, Redshift, and OpenSearch for batch and near real-time processing; performed incremental ETL with Glue; migrated legacy big data workloads to Redshift; added OpenSearch index enrichment; designed centralized SDK layer to abstract database access; built secure Redshift connectors for compliant data access.

Software Engineer at NIYO Solutions

June 1, 2022 - December 1, 2022

Created an iOS home-screen widget for OneApp using Swift, enabling deep-link access post-authentication and improving user convenience. Deployed Firebase Crashlytics to automate crash detection, reducing manual debugging by 40% and accelerating issue resolution by 30%, contributing to improved app stability and user satisfaction.