Jul 2021 – May 2022 · 10 mos · India

• 1. Worked with SSAI(Server-side Ad Insertion) Team on Discovery+ streaming platform
• 2. Implemented Iframes and Subtitles functionality for Ads in HLS Media Stream ( for Apple Client Devices)
• 3. Contributed in migration of services to kubernetes using istio as a service mesh; Designed and majorly implemented multi-deployment architecture to suit SSAI system's needs for scale.
• 4. Independently developed helm charts for ingress and egress; Implemented deployment upgrades with zero-downtime using canary deployment strategy while ensuring ease of automation and single click delivery
• 5. Designed and implemented a unique service to balance load, send alerts and remove unhealthy deployments using traffic splitting policies and also maintaining health of various SSAI critical services in the kubernetes cluster.
• 6. Contributed to addition of metrics for latency of ad stitching, serialization for playlist/preplay requests using micrometer.
• 7. Implemented Continuous Delivery Pipeline for deploying the SSAI stack
• 8. Successfully helped in delivering an enormous re-platforming release in EMEA and Philippines regions while taking care of infrastructure, load, scale and resiliency requirements.

Jul 2020 – Jul 2021 · 1 yr

• 1. Worked with the Corporate Treasury Team on their Intraday Liquidity Platform(ILP) on managing data comprising high valued transactions for business teams | Technologies Used: Kafka, Spring Boot, Impala, Vertica, Exadata
• 2. Contributed to development of Missed Kafka Transaction Replay APIs from logs and source systems and wrote unit and integration tests achieving 94% code coverage.
• 3. Implemented pipelines as part of organization wide efforts to shift to DevOps which led to reduction of 90 percent effort for Application Dev Teams and 98 percent effort for Production Services Team.
• 4. Built PoCs involving low latency streaming of high volume transactional data.

Jan 2020 – Jun 2020 · 5 mos

• Worked with Corporate Treasury Team on Intraday Liquidity Platform using technologies like Kafka, Spring Boot, Avro and Hadoop.
• Key achievements:
• 1. Independently wrote tests for Kafka and APIs in source and destination connector microservices and achieved coverage of 87.2% and 97% respectively
• 2. Worked with the team for generalized avro serialization and deserialization without using Confluent and accomplishing business needs
• 3. Independently implemented a scalable end-to-end Replay utility for admin Microservice which replays missed transactions from HDFS and Vertica databases

Jun 2019 – Jun 2019 · 0 mo · Gurugram

• Worked on Chatbots (using Dialogflow, Twilio and Flask), Data Analysis, Machine Learning and Deep Learning

Jun 2018 – Jul 2018 · 1 mo · Gurgaon, India

• 1.Research on existing HRMS maintained by other big companies
• 2.Extraction of the functional and the non-functional features within their software(primarily Mobile Apps)
• 3.Design the flow and the User Interface for Indovision's HRMS app(which shall not only be confined to Indovision's employees but other employees as well who work for the corporations like Samsung and Mahindra to which Indovision supplies the Software and Manpower)
• 4.Maintaining the Back-end and Building up an API from scratch to serve for the transactions that shall take place on the Mobile App
• 5.Organization of Code and Documenting the changes on routine basis
• 6.Delivering the structured product with best practices
• 7.Basic level White Box Testing in parallel to development of a module.
• Tech Used:
• Java(for Android),XML,PHP(with CodeIgniter),MarvelApp,Microsoft Office,Postman,XAMPP,MySQL

Aug 2017 – Oct 2017 · 2 mos · New Delhi Area, India

• Worked on Ruby on Rails and Materialize with WebGL