Portrait of Anuranjan Dubey
Software Developer · Machine Learning Enthusiast

I'm Always Up to Learn New Things

I’m a Software Engineer II at Intuit, where I design and build resilient, event-driven systems that power QuickBooks Online. I completed my M.S. in Computer Science at Arizona State University, specializing in AI and distributed systems. My work bridges intelligent automation with large-scale software design—bringing together my passion for backend engineering and the evolving world of applied AI.

6+ Years shipping software
4.22 MSCS GPA
1 Peer-reviewed publication

Applied learning, real outcomes

I’m energized by building systems that matter—recent work spans AWS-backed data engineering, production APIs, and immersive mobile experiences that help people get things done.

Research-backed builder

My CVIP 2022 paper on glass-bangle defect detection blended classical computer vision with deep learning, highlighting my ability to translate research into practical solutions.

Curious beyond the screen

Strength training, specialty coffee, and page-turners like Atomic Habits keep me grounded—because sharp products start with a sharp mind.

Experience

Delivering impact across teams

Software Engineer 2

Intuit · Full-time · May 2025 – Present · Mountain View, CA

Designing resilient, event-driven services for QuickBooks Online while leading cross-functional initiatives that unlock measurable customer and revenue growth.

Software Engineer Intern

Intuit · May 2024 – Aug 2024 · Mountain View, CA

  • Integrated a QuickBooks Online data pipeline using an event-driven architecture and the outbox pattern across DynamoDB and Apache Kafka.
  • Implemented end-to-end observability with Wavefront and Splunk to monitor Java and Spring Boot services deployed on AWS.
  • Contributed to an $80M annual opportunity initiative, estimated to unlock $10M incremental impact while boosting user growth by 80%.

Senior Associate · Data Engineering

Genpact · Jun 2021 – May 2023

Supported enterprise clients with secure, high-volume pipelines across Kafka, MSSQL, and cloud-native services.

Software Developer

Filed · Apr 2021 – Jun 2021

Delivered three e-commerce integrations to automate catalog ingestion and streamline product onboarding.

Data Analyst · GRIP

The Sparks Foundation · Aug 2020

Explored insights with Python, seaborn, and matplotlib to communicate stories hidden inside data.

Education

Crafting a strong academic foundation

Arizona State University

MS Computer Science · Aug 2023 – Aug 2025

GPA 4.22 / 4

Jaypee Institute of Information Technology

B.Tech Computer Science · Jul 2017 – Jul 2021

GPA 7.3 / 10

Led the table tennis team while balancing a rigorous engineering curriculum.

Kendriya Vidyalaya, Aligarh

Intermediate (Class XII) · May 2015 – May 2016

Science specialization with top scores in Computer Science and Chemistry; served as School and House Captain.

Kendriya Vidyalaya, Aligarh

High School (Class X) · May 2013 – May 2014

CGPA 10 / 10

All-India topper recognized with merit certificates across every subject.

Skills

Tools I reach for often

Applications & Platforms

Docker Postman GraphQL FastAPI AWS (EC2) Git MSSQL CyberArk

Languages

Python C / C++ JavaScript SQL PL/SQL HTML LaTeX Assembly

Machine Learning

NLP OpenCV Image Processing TensorFlow Regex Classification Regression

Web & App Development

HTML CSS JavaScript PHP React Native Flutter

Operating Systems

macOS Linux Windows Android
Courses & Certifications

Learning that keeps me ahead

Data Science MicroMasters® Program

UC San Diego · Sep 2022 – Jul 2023

Python for Data Science, Probability & Statistics, Machine Learning Fundamentals, Big Data Analytics with Spark.

Engineering Virtual Internship

Microsoft · Jul 2020

Developed business, workplace, and technical engineering skills through Microsoft’s InsideSherpa program.

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React Native — The Practical Guide

Udemy · Jun 2020

Hands-on mobile development training focused on performant cross-platform apps.

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Machine Learning by Andrew Ng

Stanford · Jul 2019

Comprehensive foundation in supervised learning, recommendation, and optimization techniques.

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Interests

What keeps my curiosity alive

Competitive programming Automobiles Music & art Genetic technologies Brain-computer interfaces Machine learning