Divyanshi Dixit — Software Engineer

About Me

I'm a software engineer who believes the best engineers never stop learning. My path has taken me from a B.Tech and M.Tech in Computer Science, through building GPU driver APIs at Nvidia and internal cloud infrastructure at SLB, into a stretch of continuous self-directed learning — interview preparation, system design study, and personal projects — followed by freelance web development for small businesses, and now into graduate studies at Arizona State University.

I'm comfortable across Go, C++, Java, TypeScript, Node.js, and Python, and across cloud platforms (GCP, Azure, Docker, Kubernetes). What ties every chapter together is the same engineer's instinct: solve hard problems, ship clean code, and dig into the systems underneath. I'm preparing for the next software engineering opportunity — somewhere I can build, learn, and contribute at depth.

My Journey

A timeline of continuous growth — industry experience, deliberate learning, and graduate studies.

2018 – 2022

Industry Experience

Software engineering roles at Nvidia (GPU driver APIs, C++), SMS Magic (Java, billing platform), and SLB (Go, cloud infrastructure, ~50% VM cost savings).

2022 – 2024

Deepening Fundamentals

Stepped into focused self-directed study — advanced algorithms, system design, interview preparation, and personal projects. Sharpened the foundations behind production software.

2024 – 2026

Freelance Web Development

Delivered custom e-commerce websites for local and offline businesses, partnering with another developer. Owned client communication, scope, and shipping.

May 2026

MS Computer Science @ Arizona State University

Started the Master of Computer Science program — going deep on machine learning systems, distributed systems, and advanced software engineering.

Next Software Engineering Opportunity

Actively preparing to return to a full-time software engineering role where I can build at depth, contribute to real systems, and keep growing.

Currently Reading

Ongoing learning is the engine behind my engineering practice.

Current Read

Designing Machine Learning Systems

Chip Huyen

A practical guide to designing, deploying, and maintaining ML systems in production — covering data engineering, model deployment, monitoring, and the trade-offs that come with running ML at scale.

Current Read

Beyond Cracking the Coding Interview

Gayle Laakmann McDowell, Mike Mroczka, Aline Lerner & Nil Mamano

A modern follow-up to the classic interview-prep book — broader coverage of system design, behavioral rounds, and the realities of today's technical interview loops.

Previously Read

Designing Data-Intensive Applications Martin Kleppmann
Cracking the Coding Interview Gayle Laakmann McDowell

Currently Exploring

Active areas of study and curiosity right now.

Machine Learning Systems

How real-world ML pipelines are built, deployed, and kept reliable at scale.

Distributed Systems

Consistency, fault tolerance, and the trade-offs that shape large-scale software.

System Design

Designing services that stay simple, observable, and resilient as they grow.

Backend Engineering

APIs, data pipelines, and infrastructure — the layer where most production complexity actually lives.

Experience

Freelance Web Developer

2024 – 2026

Designed and delivered custom e-commerce websites for local and offline businesses, partnering with another developer.
Implemented responsive UIs, product-catalog management, and customer-facing checkout features.
Worked directly with clients to gather requirements, scope features, and ship production-ready solutions.

HTML/CSSJavaScriptResponsive UIE-commerce

Software Engineer — SLB (F/K/A Schlumberger)

Jan 2020 – Nov 2022

Designed and implemented an internal file-sync infrastructure with Golang, Google Pub/Sub, and Bash, improving company-wide file-management capabilities.
Led a VM-deletion initiative across Azure and Google Cloud using Azure DevOps pipelines, delivering ~50% cost savings.
Streamlined API development by transitioning to Axios and implementing correlation-ID logging plus Postman-based functional testing.
Built automated testing and deployment pipelines on Azure DevOps for image testing and release.

GoGCPAzurePub/SubAzure DevOpsBash

Software Developer — SMS Magic Mobile Media Pvt. Ltd.

Jul 2019 – Jan 2020

Designed and shipped new billing features — per-message, monthly, and annual subscription plans — for the messaging platform.
Built a customer-facing dashboard for end users to view messaging data and usage.
Implemented and maintained RESTful APIs for the messaging system in Java.

JavaREST APIsBilling Systems

Software GPU Intern — Nvidia

Aug 2018 – Mar 2019

Worked on NVAPI SDK support for Linux in the NVAPI team using C++.
Developed a testing tool that automated testing for 150+ APIs with 100% test coverage.
Used GDB for debugging NV-APIs and tested features across multiple GPU generations with internal tools.

C++LinuxGDBNVAPI SDK

Featured Projects

A selection of work spanning geospatial data, fitness tracking, mobile development, and developer tooling.

Reservoir Sampling Visualizer

Full-stack web app that visualizes the Reservoir Sampling algorithm on streaming data. The backend streams CSV files line-by-line through a simulation engine and pushes every accept / replace / reject decision to the React UI over WebSockets — memory stays at O(K) regardless of input size.

ReactTypeScriptNode.jsExpressSocket.IOTailwind

Live Demo → View Code

Web GIS for Primary School Education

Mapped demographic data of primary-school students, teachers, and facilities using PostGIS for spatial analysis.

PostGISPostgreSQLJavaScript

View Project →

Password Generator

React Native app that generates secure passwords based on user-defined length and character-set inputs.

React NativeTypeScript

View Code →

MCP Server

Exploratory MCP (Model Context Protocol) server for integrating tools with LLM clients — a hands-on dive into the MCP spec.

TypeScriptNode.jsMCP

View Code →

Skills

Languages

C++JavaGoTypeScriptPython

Backend & Frameworks

Node.jsExpressReact NativeREST APIsSalesforce Apex

Cloud & DevOps

Google CloudAzureDockerKubernetesJenkinsCI/CD

Scripting

PythonBashPowerShell

Tools & Data

Git/GitHub/GitLabSQLMySQLRedisPostmanSwaggerLinux/Unix

Education

Arizona State University Currently Enrolled

Master of Computer Science

May 2026 – Present

Advancing core CS depth with formal graduate study.

Motilal Nehru National Institute of Technology

Master of Technology in Computer Science

GPA: 3.7 / 4

Relevant Courses: Advanced Algorithms, Advanced Data Modeling, Wireless and Mobile Networks, Advanced Computer Networks

University of Allahabad

Bachelor of Technology in Computer Science

GPA: 3.2 / 4

Relevant Courses: Data Structures, Algorithms, Database Systems, Computer Networks, Artificial Intelligence, Digital Electronics, Compiler Design, Theory of Computation