Jul 2018 – Nov 2019 · 1 yr 4 mos

• Media.net is the leading contextual advertising platform where data is generated at a huge scale and engineering that data to generate meaningful insights is an everyday challenge here.
• Day to day work involves designing and implementing scalable data pipelines and engineering business challenges.
• Built a scalable data pipeline doing live stream join of data at a scale of million events per day with latency close to a second. Used Apache Kafka Streams for the same and reduced its memory consumption by a factor of 5. Kafka streams was incorporated with spring boot as backend.
• Contributed in full stack idealisation and implementation of a visualisation and suggestion based dashboard. In which data was gathered from various sources (Druid,Hive,MsSql) at one place and was used to provide insights for making intelligent business decisions. Used spring boot as backend and react js for frontend.

Jun 2017 – Jul 2017 · 1 mo · Mumbai Metropolitan Region

• Trained a Deep Learning based NLP model using Tensorflow that effectively created meaningful summaries of articles.
• Contributed in automating and improvising the keyword selection process based on Google's Adwords API.
• All code was incorporated in business impacting services. Received a full time job offer.

Sep 2015 – Jul 2018 · 2 yrs 10 mos

• Took weekly classes on data structures and algorithms organised by ASN.