Experience

Balbix

• United States
• Computer and Network Security
• 100 - 200 Employee

• Sr. Staff Software Engineer/Manager, AI

  • Apr 2023 - Present

  Balbix is the world’s first cybersecurity platform to leverage specialized AI to provide real-time visibility into an organization’s breach risk. At Balbix, I am a member of our fast-growing Machine Learning Team, where I wear several hats - working on problems ranging from Risk Estimation, NLP, Search and MLOps!

• Sr. Staff Software Engineer, AI

  • Mar 2022 - Jul 2023

• Staff Software Engineer, AI

  • Apr 2021 - Mar 2022

• Sr. Software Engineer, AI

  • Feb 2020 - Mar 2021



Carnegie Mellon University - School of Computer Science - Language Technologies Institute

• United States
• Higher Education
• 1 - 100 Employee

• Graduate Teaching Assistant

  • Jan 2019 - Dec 2019

  Teaching Assistant for 11-442/11-642 Search Engines, under Prof. Jamie Callan Responsibilities involve grading of assignments and interacting with students via online forums (Piazza), Office Hours and Recitations. Teaching Assistant for 11-442/11-642 Search Engines, under Prof. Jamie Callan Responsibilities involve grading of assignments and interacting with students via online forums (Piazza), Office Hours and Recitations.



Balbix

• United States
• Computer and Network Security
• 100 - 200 Employee

• Machine Learning Intern

  • May 2019 - Aug 2019

  Worked on relation extraction via entity recognition on structured and unstructured data to generate a knowledge graph. Trained vertex embeddings on this graph to leverage in other tasks such as device categorization, similarity-search natural language search and entity-clustering. Worked on relation extraction via entity recognition on structured and unstructured data to generate a knowledge graph. Trained vertex embeddings on this graph to leverage in other tasks such as device categorization, similarity-search natural language search and entity-clustering.



Amazon

• United States
• Software Development
• 700 & Above Employee

• Software Development Engineer II

  • Apr 2017 - Jul 2018

  Participated in design and development of infrastructure for components of a new contextual advertising product powered by NLP algorithms to extract content from web-pages and display relevant product ads

• Software Development Engineer

  • Jun 2016 - Apr 2017

  Engineered a web-scale crawler infrastructure as a service(IaaS) on AWS for static and dynamic crawling of web-pages with the capability of dynamic re-scaling of fleet capacities

• Software Development Engineer Intern

  • Jul 2015 - Jun 2016

  Developed a proof-of-concept for a Mobile App Crawler to collect ad-pertinent data for detection of fraud in mobile-apps



Goodbox

• India
• Technology, Information and Internet
• 1 - 100 Employee

• Software Development Intern

  • May 2014 - Jul 2014

  (Formerly Tsepak Technologies) • Built a Qt backed GUI for “Busybox”; a product that provides location based services for private transportation services in QML and Qt/C++ for a Raspberry Pi based system • Developed a prototype for the android application "Busybox Live", an application that provided a platform to track inter-city buses of private contractors via the Google Maps API (Formerly Tsepak Technologies) • Built a Qt backed GUI for “Busybox”; a product that provides location based services for private transportation services in QML and Qt/C++ for a Raspberry Pi based system • Developed a prototype for the android application "Busybox Live", an application that provided a platform to track inter-city buses of private contractors via the Google Maps API



Indian Bank

• India
• Banking
• 700 & Above Employee

• Intern

  • May 2013 - Jul 2013

  • Studied quarterly statistics released by the Reserve Bank of India for Aggregate Deposits/Gross Bank Credit to ascertain geographical regions with high and above average growth in the Credit and Aggregate Deposit market • Conducted regression analysis and point estimation forecasting on the data to determine the key indicators affecting growth in the market and determine future trends under various scenarios • Studied quarterly statistics released by the Reserve Bank of India for Aggregate Deposits/Gross Bank Credit to ascertain geographical regions with high and above average growth in the Credit and Aggregate Deposit market • Conducted regression analysis and point estimation forecasting on the data to determine the key indicators affecting growth in the market and determine future trends under various scenarios