top of page

EDUCATION

MS Info Systems, CORNELL UNIVERSITY

August 2019 - June 2021

  • MSc in Info Science and Info Systems, concentration in CS

  • Cornell Tech Merit Scholarship Award

  • Computer Vision researcbon 3D pose estimation using optical flow

  • NLP research detecting political bias using deep learning

  • Product Design Consultant For Estee Lauder Companies Online

BTech Comp Sci,
MANIPAL INSTITUTE
OF TECHNOLOGY

August 2014 - May 2018

  • BTech in Computer Science and Engineering

  • Graduated Top 10% of the class

  • NLP research on Morphological analysis of Kannada, an Indian agglutinative language, Paper Presented at ICCET 2018

EXPERIENCE

AI Product Manager,
AUDIBLE-AMAZON

April 2022 - Present

  • Drove 3.9x increase in annual revenue generated by the Content based AI team from $10M to $39M

  • building foundational services that support fast and efficient AI model development, data collection tooling, and internal productivity tools

  • Integrated Content AI assets into customer-facing features for content organization, personalization, recommendations, and search

  • Selected as one of two PMs for Gen AI taskforce to define Audible's strategy, prioritize foundational components, identify risks, and spearhead customer-facing AI features, reporting back to Audible's Cheif Product Officer and Chief Technology Officer

Software Engineering,
AUDIBLE-AMAZON

August 2021 - April 2022

  • Joined Audible Voice Experiences team responsible for playback of audiobooks through voice controlled smart devices(eg. Alexa)

  • Implemented an architectural switch from a ranking algorithm to a candidate proposer which given a customer utterance,
    understands what is needed and which service should be invoked, improving the efficiency from 96.7% to 99.9%.

  • Implemented an NLP model using Named Entity Recognition, LDA, Relation Extraction to auto generate the quiz questions

Software Engineering,
MICROSOFT

June 2018 - July 2019

  • Engineered pipelines that efficiently and compliantly extract Office 365 data on the Microsoft Substrate AI cloud platform

  • Extracted data was made available to partner ML teams as structured schematized data available for consumption

Research Intern,
MT-NLP Lab, IIIT-Hyderabad

January 2018 - May 2018

  • POS tagging of Konkani (a data-scarce language) with 77% accuracy using semi-supervised ML like active learning and self-training

  • Error Correction of Hindi POS tagged data  with 94.02% accuracy

  • Model was built using a combination of support vector machines (SVM), long short term memory (LSTM) networks, hidden markov models, and conditional random fields to detect errors in Hindi POS data [Paper]

PAPERS, PUBLICATIONS & ACHIEVEMNTS

  • One of only 900 attendees globally, and the only Audible representative at OpenAI Dev Day

  • Automated Error Correction & Validation for POS Tagging of Hindi, ACL 2018, Paper presented at PACLIC 32, Hong Kong

  • Kannada morpheme segmentation using machine learning, IJET 2018, Paper Presented at ICCET 2018, Chennai, India

  • Patent Filed through Microsoft for a backend feature that uses NLP to improve the management of online communications

  • Served on the Judging Panel for National Level Smart India Hackathon 2020 hosted by Manipal Institute of Technology, India

bottom of page