Jul 2020 – Jan 2025 · 4 yrs 6 mos · Berlin, Germany

• Part of the Inventory planning team. Among fist JVM stack de-
• velopers in HelloFresh. Built scaffolding for the Hellofresh Kotlin
• projects which includes metrics, logging, dependency injection
• and gradle build system. First one to implement Kafka streams
• in the company. Created numerous libs which became founda-
• tion of the many Kotlin projects. Lead designer for the calculator,
• which was core of the project and created humran readable DSL
• for the Rule Engine. Go to person in the company for Kotlin and Kafka.
• Took more than 100 interviews, hired dozens of java engineers. Also
• created the hiring challenge for Hellofresh. Which is being used to
• hire from last 4 years.

Oct 2019 – Jun 2020 · 8 mos · Berlin Area, Germany

• Technologies: Go, gRPC, Elasticsearch, Kubernetes, Prometheus, Postgres, ELK, Elastic-apm
• Implemented distributed load testing. Designed and wrote code to migrate apps from Elasticsearch 1.7 to 6.2. Rewrote legacy microservices to use good practices and use gRPC. Implemented distributed logging and fixed Logstash parsing. Created integration test. Implemented many alerts in Prometheus.

Sep 2017 – Oct 2019 · 2 yrs 1 mo

• Technologies: Kotlin, Kafka, Aerospike, RxJava, Vert.x, Kubernetes,
• Golang, Kong, Prometheus, Postgres, ELK
• Worked on in-house event tracker, which is a system to consume user actions over HTTP endpoint. Wrote low latency (<2ms) and high throughput microservice in Kotlin and a distributed load testing system. The project was a collection of over 25 microservices, each de-
• ployed on Kubernetes and could be easily scaled horizontally. A request could be traced in Kibana with tracing ID. The system was capable of handling 300M events per day with a spike of 10K events per second. The system was completely realtime with Kafka as its backbone.

May 2016 – Sep 2017 · 1 yr 4 mos

• Skills -Redis, Go, AWS Redshift, Kafka, AWS Kinesis, Prometheus, ELK, Performance Optimization, Distributed Load Testing.
• Build Retargeting Product at Applift Labs.
• 1. Designed architecture for the product, evaluated and selected apt Big Data DB's.
• 2. Did data modeling.
• 3. Wrote low latency Audience API server in Golang
• 4. Highly scalable multi-threaded Rule Engine in Java.
• Apart from usual development work I do all the market research on the supply, competitors and market trends. I work closely with Business Development team to translate business ideas to tech requirements.
• Previously I worked on new algorithms to detect fraud in programmatic media buying. Proposed an ensemble classifier on the basis of Heuristics and Data from 3rd party fraud detection agencies.
• I am also participating in International Talent Program (ITP) @ Applift where I am learning about business idealization directly from Chief Strategy Officer

Aug 2014 – Aug 2016 · 2 yrs

• Skills - Redis, Java, Go, Hadoop, Kafka, HBase, Hive, Apache Pig, Spark
• Played an important role in designing architecture of Multi Data Centre setup of the bidding platform and algorithm for Bid Landscape.
• Working as Big Data Engineer handling smooth budget delivery in real time bidding platform. Along with Budget, I designed and now managing Targeting, Retargeting and Batch Query System on Big Data.
• Bidstalk was acquired by Applift in 2015

Aug 2013 – Aug 2014 · 1 yr · Bangalore

• Currently working in Core Optical Routing Business Unit (CORBU) as developer.

Aug 2012 – Jul 2013 · 11 mos

• Instruct and train over 70 students of B.Tech 2nd year of the department on Linux systems. The job consists of Grading and evaluating submissions for various system tasks given to the students

Aug 2011 – Aug 2012 · 1 yr

• Maintain and troubleshoot services provided by the department to its users. I ensure the smooth operation of all the labs and perform various regular tasks like Back-up, management, security checks etc. Our team also implements new innovation and technology in our departments to keep all the labs up to date