Experience

ZestMoney

• India
• Financial Services
• 300 - 400 Employee

• SDE2

  • Sep 2021 - Present

  Tech Stack: Typescript, Python, Java, Golang, NodeJs, ReactJs, Javascript, AWS, Docker, Kubernetes, MySQL, MongoDB, ● End to end ownership of multiple customer facing services used by over 5Mn+ users. ● Provided technical expertise for every phase of the project life-cycle of 4 major services; from concept development to solution design, implementation, optimization and support. ● Collaborated with the Product Management and other business stakeholders to help shape the… Show more Tech Stack: Typescript, Python, Java, Golang, NodeJs, ReactJs, Javascript, AWS, Docker, Kubernetes, MySQL, MongoDB, ● End to end ownership of multiple customer facing services used by over 5Mn+ users. ● Provided technical expertise for every phase of the project life-cycle of 4 major services; from concept development to solution design, implementation, optimization and support. ● Collaborated with the Product Management and other business stakeholders to help shape the product. ● Manage/Lead junior Engineers by advising on best practices, application of coding standards. ● Fostered a collaborative environment with my various initiatives hence boosting team’s efficiency. Show less Tech Stack: Typescript, Python, Java, Golang, NodeJs, ReactJs, Javascript, AWS, Docker, Kubernetes, MySQL, MongoDB, ● End to end ownership of multiple customer facing services used by over 5Mn+ users. ● Provided technical expertise for every phase of the project life-cycle of 4 major services; from concept development to solution design, implementation, optimization and support. ● Collaborated with the Product Management and other business stakeholders to help shape the… Show more Tech Stack: Typescript, Python, Java, Golang, NodeJs, ReactJs, Javascript, AWS, Docker, Kubernetes, MySQL, MongoDB, ● End to end ownership of multiple customer facing services used by over 5Mn+ users. ● Provided technical expertise for every phase of the project life-cycle of 4 major services; from concept development to solution design, implementation, optimization and support. ● Collaborated with the Product Management and other business stakeholders to help shape the product. ● Manage/Lead junior Engineers by advising on best practices, application of coding standards. ● Fostered a collaborative environment with my various initiatives hence boosting team’s efficiency. Show less



HSBC

• United Kingdom
• Financial Services
• 700 & Above Employee

• Software Engineer

  • Jul 2018 - Sep 2021

  Full Stack Development: - Extensive experience in developing maintaining various full-stack applications and RESTful APIs across multiple platforms with MERN stack. - Led the development of a customer-facing dashboard which integrates static and dynamic data related to various APIs. Built reusable components with React.js, Node.js and JavaScript ES6. - Hands on experience in creating frontend components using React.js, HTML5, CSS3, and JavaScript. API Development: -… Show more Full Stack Development: - Extensive experience in developing maintaining various full-stack applications and RESTful APIs across multiple platforms with MERN stack. - Led the development of a customer-facing dashboard which integrates static and dynamic data related to various APIs. Built reusable components with React.js, Node.js and JavaScript ES6. - Hands on experience in creating frontend components using React.js, HTML5, CSS3, and JavaScript. API Development: - Handling Dev to Prod work of API development under Agile principles by collaborating with Consumer, Backend, BA and Data Modeler. - Developing Mule Flow using Anypoint Studio, Unit and Functional Testing of Mule Flow using Soap UI and Munit. Deploying Developed Mule App to Cloud Foundry for Quality Assurance and Certification. - Monitoring application and Tracking performance of the API using App Dynamics and Splunk. Troubleshooting & Bugs fixing for the APIs in production. Show less Full Stack Development: - Extensive experience in developing maintaining various full-stack applications and RESTful APIs across multiple platforms with MERN stack. - Led the development of a customer-facing dashboard which integrates static and dynamic data related to various APIs. Built reusable components with React.js, Node.js and JavaScript ES6. - Hands on experience in creating frontend components using React.js, HTML5, CSS3, and JavaScript. API Development: -… Show more Full Stack Development: - Extensive experience in developing maintaining various full-stack applications and RESTful APIs across multiple platforms with MERN stack. - Led the development of a customer-facing dashboard which integrates static and dynamic data related to various APIs. Built reusable components with React.js, Node.js and JavaScript ES6. - Hands on experience in creating frontend components using React.js, HTML5, CSS3, and JavaScript. API Development: - Handling Dev to Prod work of API development under Agile principles by collaborating with Consumer, Backend, BA and Data Modeler. - Developing Mule Flow using Anypoint Studio, Unit and Functional Testing of Mule Flow using Soap UI and Munit. Deploying Developed Mule App to Cloud Foundry for Quality Assurance and Certification. - Monitoring application and Tracking performance of the API using App Dynamics and Splunk. Troubleshooting & Bugs fixing for the APIs in production. Show less



창원대학교(Changwon National University)

• South Korea
• Higher Education
• 1 - 100 Employee

• Research And Development Intern

  • May 2016 - Jul 2016

  Illumination Invariant Face Recognition Using High order Local Discrete Patterns: (under the guidance of Prof. Seol Kwon, Department of ECE ) • DCT on input image was applied in logarithmic domain and low frequency components responsible for illumination variation were discarded. LDP features were extracted from illumination invariant image. • Average accuracy of 94% was obtained using histogram comparison method. Illumination Invariant Face Recognition Using High order Local Discrete Patterns: (under the guidance of Prof. Seol Kwon, Department of ECE ) • DCT on input image was applied in logarithmic domain and low frequency components responsible for illumination variation were discarded. LDP features were extracted from illumination invariant image. • Average accuracy of 94% was obtained using histogram comparison method.