# Raj Srivastava > Software Engineer at EliseAI Location: United States, United States Profile: https://flows.cv/rajsrivastava Backend & ML Engineer building production-ready AI agents at high velocity. Own features end-to-end, from development to customer outcomes. Skilled in backend development, applied ML, tooling for agents, optimizing distributed data pipelines, and improving developer velocity. ## Work Experience ### Software Engineer @ EliseAI Jan 2026 – Present ### Software Engineer @ Intuit Jan 2023 – Jan 2026 Backend Engineer on Intuit Assist Quickbooks. Working with Agents! Former Futures Team, working with GenAI and Knowledge Graphs • Owned the backend and customer success of C2 insights, QuickBooks’ highest-traffic non-infra feature, delivering 55M+ monthly insights • Engineer on Payments Agent, tool developer for Collaboration Agent • Currently ranking the QuickBooks Business Feed tiles using an ML model to boost engagement ### Software Engineer Intern @ Intuit Jan 2022 – Jan 2022 | Mountain View, California, United States • Created a random forest with 98% recall for customer messages based on their linguistic complexity using NLP features • Compared dependency parsing, part-of-speech tagging, and chunking of different libraries in the tax domain • Conducted feature selection through methods such as mutual information analysis and ridge regression • Submitted a research paper for consideration to CONVERSATIONS 2022, a workshop on chatbot research and applications (Link: https://conversations2022.wordpress.com/wp-content/uploads/2022/11/conversations_2022_positionpaper_5_manandise.pdf) ### Engineering Intern @ Codoxo Jan 2021 – Jan 2021 | Atlanta, Georgia, United States I worked on a data validation system which runs over 200 different validations on the entire company's data (1 billion+ rows). I implemented this using Spark, which was completely self-taught over the course of the internship ### Analytics Intern @ John Deere Jan 2020 – Jan 2020 | Moline, Illinois, United States At John Deere, I had the opportunity to participate in a variety of analytics project. My team used Scrum and agile methods, so I completed tasks such as creating Tableau dashboards, manipulating data using Python and SQL, and making tools that allow people to easily view the data insights they need to see, My main project involved creating a data pipeline in Databricks that prepared supplier audit data for machine learning and dashboards. ## Education ### Master of Science - MS in Machine Learning Georgia Institute of Technology ### Bachelor of Science - BS in Computer Science Georgia Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/raj-srivastava-129550194 --- Source: https://flows.cv/rajsrivastava JSON Resume: https://flows.cv/rajsrivastava/resume.json Last updated: 2026-04-11