Jul 2023 – May 2024 · 10 mos · Zurich, Switzerland · On-site

• Worked with TV & Smart Product team, to help them migrate their legacy streaming platform to AWS & Kubernetes stack. My core responsibility was to build a web tool to deploy live channels to new platform. The tool was developed using NodeJS, Typescript & Docker swarm. Also upgraded their ES stacks to enable ML/AI features.

Feb 2022 – May 2023 · 1 yr 3 mos · On-site

• Datacenter Software SRE

Mar 2021 – Jan 2022 · 10 mos · On-site

• Cloudtop (VM) SRE

Jan 2020 – Dec 2020 · 11 mos · Amsterdam, North Holland, Netherlands · On-site

• Worked with Payments Fraud team which develops prediction models for real time payment fraud detection and supports dual platforms in Perl & Java. My job was to ensure smooth run of ML models and integration with manual & automated payment systems. I also integrated external risk analysis providers to our platform.

Sep 2017 – Dec 2019 · 2 yrs 3 mos · Amsterdam, North Holland, Netherlands · On-site

• Worked with Events & Logs team which is responsible for ingestion, streaming, storage & consumption of business & service metrics within Booking. I helped the team to achieve highly scalable real-time monitoring and alerting solutions and handle up to 1M metrics/min. I also managed Booking’s centralised logging service, an ES cluster of ~200 nodes which handles ~15M logs/min.

Jun 2016 – Jun 2017 · 1 yr · Mumbai, Maharashtra, India · On-site

• Developed Housing's premium products such as SliceView, Privilege Price Card and Events. Managed server-side systems in their Buy, Payments and Leads services. I also handled integration and management of HomeBuy360 (a Housing.com acquisition). Worked on property matching and recommendations algorithms for users based on their profiling and activity.

Jun 2015 – May 2016 · 11 mos · Mumbai, Maharashtra, India · On-site

• Managed a server-side system in the Buy Services team, which manages for-sale properties. Work includes SVG generations, image version creations, backend panels, efficient apis, notifications, and caching. I also collaborated in integration of Housing Payments service with PayU Apis. I primarily worked on Ruby on Rails (ROR) platform along with Javascript, Python. Also implemented an efficient caching mechanism in Golang.

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India · On-site

• Developed an Emotion Detection Model to detect the mood of user in texts (SMS, IMs, Emails). Algorithm was build in Python language making use of Corpus data and Stanford NLP libraries. Developed an Android app to simulate its behaviour with real data on a mobile data.

Jun 2013 – Jul 2013 · 1 mo · Singapore · On-site

• Deep learning of Communication Complexity Theory, Linear Programming and their co-relations. Study and thesis submission on proof of NP-hardness of Traveling salesman problem using extended formulations and lower bounds on linear programs.