Education

• Carnegie Mellon University, Pittsburgh
  • MS in Intelligent Information Systems (MIIS), Aug 2021 - Dec 2022
  • Courses:
    • Machine Learning (10601)
    • Advanced NLP (11711)
    • Search Engines (11642)
    • Deep Learning (11785)
    • Multimodal Machine Learning (11777)
    • Machine Learning for Large Datasets (10605)
    • Computer Vision (16720)
• National Institute of Technology Karnataka (NITK) Surathkal, India
  • B-Tech in Information Technology, 2013 - 2017

Work experience

• Google : Aug 2023 - Present
  • Machine Learning Engineer
• JPMogran Chase : Feb 2023 - Aug 2023
  • Machine Learning Engineer
    • Designed and productized a multi-document question-answering system that leverages the in-context learning ability of LLMs.
    • Incorporated frameworks to evaluate and verify the consistency of system output through prompting and self-consistency checkers.
• Google : May 2022 - Aug 2022
  • Machine Learning Engineer Intern (Applied ML) - Google Cloud AI
    • Productized the training and serving of character-level transformer model at scale for classification tasks in Document AI.
    • Built ML infrastructure and pipeline for training and serving JAX models in Document AI solution of Google Cloud.
    • Optimized the model serving and achieved a 5X speed-up in inference time, thus meeting the customer specified QPS.
• Carnegie Mellon University : Aug 2021 - Nov 2021
  • Research Assistant - Amazon Alexa Prize Challenge
    • Member of CMU team for the 2021 Amazon Alexa Prize TaskBot Challenge. One of the 10 teams selected worldwide by Amazon.
    • Designed the result re-ranking module for the TaskBot which handles ‘Recipes’ and ‘How Do I?’ tasks.
• Intuit : Aug 2017 - Aug 2021
  • Senior Software Engineer
    • Established integration patterns for connecting to third-party CRM applications from QuickBooks Online that brought down the development time from 2 quarters to 2 sprints.
    • Improved the resiliency of the premium-app integration pipeline in QBO Advanced by performing FMEA, incorporating automation, and building fallback mechanisms in case of failures.
    • During the 4 years at Intuit, I partnered with the recruitment team and interviewed about 100 candidates, involved in technical branding by conducting 5 tech workshops, hosted 3 summer interns, and mentored 7 junior engineers.
  • Software Engineer 2
    • Designed and built an end-to-end DATA-IN pipeline for Salesforce integration with QuickBooks Online Advanced without any production escapes.
    • Lead a team of 4 to build and integrate React typeahead search component into transactions pages in QuickBooks.
    • Performed network waterfall analysis and optimized the static assets to bring down the page load time of two core accounting workflows of QuickBooks Online as measured by a 30% reduction in the TP99 metric.
  • Software Engineer 1
    • Migrated the legacy credit card processing application in QuickBooks Desktop to a modern JavaScript-based solution. This application sees a charge volume of 250M USD a Year.
    • Built a workflow that enables QuickBooks Desktop payments customers to set up OAuth 2 identities using invitation and request access workflows.
• Indian Institute of Technology Bombay : Aug 2016 - Dec 2016
  • Research Intern
    • Designed and developed an Information Retrieval System for Hindi capable of handling poorly articulated queries.
    • Designed a hierarchical weighted taxonomy for the Hindi language and integrated it with the IR System.
• Intuit : May 2016 - Jul 2016
  • Software Engineering Intern
    • Automated multi-threaded data synchronization workflow in QuickBooks Desktop using C# NUnit framework to bring down the testing time from 3 days to 1 hour.

Skills

• Programming
  • Python, Java, C, C++, JavaScript
• Domains
  • Machine Learning, Deep Learning, NLP, LLM, Search, Information Retrieval, Full-stack Software Development, Web Performance.
• Technologies/Frameworks
  • PyTorch, TensorFlow, PySpark, Snowpark, Snowflake, React, REST, GraphQL, MySql, Git, Splunk, AWS, GCP, Docker, Camunda

Activities and Achievements

• Conducted technical sessions on Web Performance Optimization and Keyboard accessibility in Web Applications.
• Conducted workshops on Machine Learning, Amazon Web Services, Web Development using React and GraphQL for university students.
• Work on Getting Keyboard Shortcuts Right for Web Applications was selected for presentation at CSUN Assistive Technology Conference 2020, Anaheim USA.
• Received JASSO Scholarship from the Japanese government.