Feb 2023 – Nov 2023 · 9 mos · Noida, Uttar Pradesh, India · On-site

Apr 2021 – Feb 2023 · 1 yr 10 mos · Noida, Uttar Pradesh, India

• Designed and developed a versatile data import framework in Golang, termed
• as the General Pipeline. This framework efficiently consumes messages from
• various distributed Messaging Queues, conducts necessary preprocessing
• required to interact with Data Science models, and seamlessly imports the
• DS model recommendations into the Datastores. This innovation significantly slashed the development and deployment effort, condensing it from a
• lengthy 6 weeks to a mere 1 week.
• Led the development of an exceptionally efficient and scalable platform, facilitating the deployment of sophisticated Data Science Models. These models are seamlessly accessible through REST and gRPC APIs.
• Innovated the creation of a highly versatile data pipeline, crucial in the streamlined import of extensive data chunks into datastores.
• Leveraged an extensive tech stack, including Golang, Kafka, ElasticSearch,
• FAISS (Facebook AI library for Similarity Search), Cassandra, Yugabyte, GRPC,
• and Apache Beam Pipeline.
• Beyond standard responsibilities, authored an innovative paper, accessible at
• https://priorart.ip.com/IPCOM/000270656, demonstrating a commitment to
• pushing the boundaries of industry knowledge.

Aug 2019 – Apr 2021 · 1 yr 8 mos

• As a Backend Developer, I spearheaded the creation of multiple Spring Boot
• Microservices to optimize various functionalities within the USBank BillPay application. This endeavor saw the expert utilization of cutting-edge
• technologies such as Spring Boot Microservices, Spring Cloud Configuration, Drools for Rule Engine, Redis Cache, and Istio for service Mesh. I also
• orchestrated container orchestration with Docker and Kubernetes while implementing a robust CI/CD pipeline via Jenkins.
• Furthermore, I led the development of the Rapid EDM migration, a dynamic
• Full Stack web application tailored for Liberty Mutual Insurance Ltd. This
• endeavor showcased my proficiency in full-stack development, making proficient use of Angular 8, GraphQL, Spring Boot, and MongoDB.

Jan 2019 – Jun 2019 · 5 mos · Gurgaon, Haryana, India

• Worked on Bidirectional Sync functionality between Keysight PathWave and
• AWS Cloud
• A syncing functionality has been developed to attain the same hierarchical
• structure in AWS S3 Bucket as present in Keysight PathWave Projects Plugin.
• Skills Used: MEAN Stack, AWS Lambda, S3 Bucket and DynamoDB

May 2018 – Apr 2019 · 11 mos · NIT Patna

May 2018 – Jul 2018 · 2 mos · Patna, Bihar, India

• This report is intended to develop a system/network which can solve
• conflicts of Existing/Traditional Import-Export system by the
• implementation of Blockchain. Organizations which participate in this
• network are: Applicant(User), Applicant’s Bank, Beneficiary’s Bank,
• Beneficiary(User). These entities are involved in trade of some good/value
• which will be transferred from beneficiary to applicant on the request of
• applicant depending on certain constraints imposed by the network and
• rules decided by entities. A user is allowed to track status of only those
• applications in which he/she acts as a participant. Bank Employees are
• allowed to track status of their customer’s applications. In this report
• blockchain is implemented using Hyperledger Fabric because it allows
• developers to provide access permissions and thus privacy can also be
• provided. Double Spending and Selfish Mining, major problems with the
• blockchain can also be reduced to a great extent by using Hyperledger
• Fabric. Since Blockchain is a recent technology (came into existence in
• 2015) thus it is first explained in this report. It’s significance and why is it
• so much required in the modern era is also explained. Thereafter why
• Hyperledger Fabric is used as a tool is explained. The problem, different
• works related to this field, approach and results are introduced. After this
• previous works which have been done in this field are described. System
• Architecture of the network is described in a very detailed manner.
• Algorithms and implementations proposed in this report is explained
• thereafter.