Industry Experience

Senior Machine Learning Engineer @ [July 2019 - Present]

Working in the Content Quality team that drives foundational infrastructure, core ML modeling, and thought leadership on ML opportunities across the products that enable creation and conversations on Twitter (tweet detail, fleets, spaces, DMs, etc.). Previously worked in the Timelines Quality team that built relevance and machine learning models and systems for Twitter’s Home Timeline.

Technologies: Tensorflow | Scalding | Hadoop | Airflow | BigQuery | GCP | Python | Scala

Software Development Engineer @ [July 2018 - July 2019]

Worked for Amazon Expansions and Exports - Tech team which enables customers to buy eligible products internationally. I was involved in projects around:

Technologies: AWS services | Java | Python | Jupyter Notebook

Side hustles at work:

Software Development Engineer Intern @ [June 2017 - September 2017]

I interned in the DataForge team which provides a platform for running Big Data operational workloads consistently within service level agreement, obviating the need to learn, set up, and manage Big Data technologies in order to support operational business use cases. I worked towards designing and implementing:

This was particularly challenging as it entailed handling highly concurrent and complex scenarios arising due to the distributed nature of Hive and the fact that Hive is not designed to handle transactional data and operations.

Technologies: Java | Hive | DynamoDB

Member Technical @ Arcesium India Pvt. Ltd. [July 2015 - July 2016]

Arcesium spun out of the D. E. Shaw Group. I worked there in the Arcesium/Tech division as a primary developer for the STP (Straight Through Processing) team. Some of my important responsibilities include:

Technologies: Java | Spring | MyBatis | SQL Server | Git

Research Experience

Graduate Researcher @ UC San Diego [April 2017 - June 2018]

Under Prof. Julian McAuley’s guidance, I worked on several user behavior modeling and NLP problems and published following articles:

Research Intern @ Indian Institue of Technology, Madras [December 2014 - May 2015]

I worked under the guidance of Prof. Balaraman Ravindran and contributed to two research problems, focusing on the development of scalable Bayesian algorithms for Recommender Systems.

Summer Fellow @ Indian Institue of Technology, Madras [May 2014 - July 2014]

I was a part of Summer Fellowship Programme of IIT Madras and worked here under the guidance of Prof. Balaraman Ravindran in the field of Statistical Machine Learning. I did a project on Collaborative Tweet Recommendation where I used Collaborative Filtering to efficiently recommend relevant tweets to users.