Hi, I'm

Divyanshi Oberoi

A Software Developer based in United States 🇺🇸


I build scalable applications and AI-driven solutions. With a proven track record in full-stack development, I focus on delivering high-performance, seamless user experiences and robust system architectures.

Currently looking for opportunities in
Fullstack Development , Database Engineering , and SDET

View Resume
Divyanshi Oberoi

Work Experience

Associate Software Engineer

Edgio Uplynk • Chicago, IL • Jun 2025 – Nov 2025

  • Contributed to design and deployment of 3 Node.js microservices for the Uplynk ad delivery platform on AWS ECS, defining API contracts, data models, and service boundaries, enabling auto-scaling under peak advertiser traffic with zero downtime at launch.
  • Instrumented the Uplynk service fleet with AWS CloudWatch metrics, structured logging, and alerting pipelines; built real-time ops dashboards that surfaced root cause signals for latency spikes and error rate anomalies, reducing incident detection and resolution time by 40%.
  • Refactored and modernized the Uplynk React , TypeScript frontend, eliminating unnecessary re-renders, implementing lazy loading, and reducing bundle size, improving page load time by 35% and Core Web Vitals scores across the production dashboard.
  • Designed Node.js microservices containerized with Docker and orchestrated using Kubernetes.
  • Built and maintained CI/CD deployment pipelines with GitHub Actions, integrating automated test gates, versioned rollouts, and rollback strategies to ensure operational readiness across 3 microservices, reducing manual release effort by 60%.
  • Authored unit and integration test suites with Jest and Playwright covering the ad delivery API flows and player UI components, enforcing code quality standards through peer review and catching regressions pre-deploy across 3 browser environments

Associate Software Developer

Evolphin Software • India • Feb 2023 – May 2024

  • Designed and shipped Node.js REST APIs and TypeScript/React components powering Evolphin's in app contextual help system, collaborating cross-functionally with product and support teams to reduce user support queries by 45%.
  • Built a secure Adobe Premiere plugin integration using ExtendScript and TypeScript, automating the media ingest pipeline end-to-end, eliminating manual handoffs and improving processing reliability and turnaround time for the video asset team.
  • Implemented Playwright-based end to end test suites covering critical release flows; partnered with QA to triage and resolve pre-release defects tracked in JIRA, measurably reducing post-release defect rates across quarterly deploys.

Software Developer

Collaberus Technologies • India • Aug 2022 – Dec 2022

  • Built responsive web applications with React.js and JavaScript for real-time video interactions using WebRTC, delivering smoother playback experiences to thousands of concurrent users.
  • Developed REST APIs with Node.js and Express.js connecting to PostgreSQL and MongoDB, enabling reliable data exchange and reducing client-side errors.
  • Improved data reliability and reduced client-side errors across applications.

Skills

Programming Languages

JavaScript, TypeScript, Python, Java, SQL, HTML5, CSS3, Go

Frameworks & Libraries

React.js, Next.js, Node.js, Spring Boot, Hibernate, Angular, Express.js, Redux, React Context API

Databases & APIs

MongoDB, SQL, NoSQL, REST APIs, Cassandra, AWS DynamoDB

AI & Data

Applied Machine Learning, OpenAI APIs, Data Processing, Analytics

Testing & Automation

Playwright, Selenium, Jest, BrowserStack, UI Automation Testing, SDET

Cloud & Tools

Google Cloud Platform, Docker, CI/CD, Snowflake, Firebase, Figma, Jira, DevOps, MySQL

Projects

Restaurant Inventory Predictor

An AI-powered SaaS platform that predicts ingredient demand for restaurants using ML trained on historical sales, weather, local events, and seasonal patterns reducing food waste and stockouts.

  • Built an AI-powered SaaS platform predicting ingredient demand for restaurants using ML models trained on historical sales, weather, and seasonal patterns.
  • Engineered a Node.js/Express backend on AWS Lambda + API Gateway with DynamoDB for inventory storage, handling real-time prediction requests.
  • Built React 18 frontend with TailwindCSS, Recharts, and React Query, displaying live demand forecasts and inventory dashboards.
  • Trained and deployed XGBoost and scikit-learn models on AWS SageMaker, integrating weather and local event APIs as input features to improve accuracy.
React 18, TailwindCSS, Recharts, React QueryNode.js, Express, AWS LambdaDynamoDB (inventory), S3 (ML data)Python, scikit-learn, XGBoost, AWS SageMaker

Spotify ELT Pipeline

End to end ELT pipeline built with Apache Airflow, dbt, and Snowflake, ingesting real Spotify Global Top 50 data and transforming it into analytics ready models.

  • Built an end-to-end ELT pipeline ingesting Spotify Global Top 50 data weekly using Apache Airflow for orchestration, with automated retries and dependency management.
  • Designed a Snowflake data warehouse with RAW, STAGING, and MARTS schemas; built dbt transformation models including fact and dimension tables for weekly chart analytics.
  • Wrote Python extract and load scripts consuming the Spotify Web API, pulling real-time track, artist, and audio feature data into the pipeline.
  • Enforced data quality across all dbt models with not_null, unique, accepted_values, and referential integrity tests; containerized the local Airflow environment with Docker.
Spotify Web APIApache AirflowSnowflakedbtDockerPython

AI SQL Analytics Assistant

Built a natural language to SQL analytics assistant using OpenAI APIs that converts user queries into optimized SQL queries and generates interactive charts.

  • Converted natural language queries into SQL using OpenAI APIs
  • Integrated dynamic chart generation for analytics visualization
  • Built scalable backend APIs for query parsing and execution
  • Improved data accessibility for non-technical users
Next.jsNode.jsOpenAIPostgreSQL

React Native Stallion

Optimized a React-based company website focused on performance improvements and modern UI architecture.

  • Improved website performance and page load time by 35%
  • Developed responsive UI components
  • Optimized rendering and component reusability
  • Improved overall user experience
ReactNext.jsJavaScript

Movie Recommendation System

Developed a machine learning movie recommendation system using the TMDB dataset with similarity-based recommendations.

  • Implemented content-based recommendation algorithm
  • Processed TMDB dataset using Pandas
  • Integrated TMDB API for movie metadata
  • Built interactive UI using Streamlit
PythonPandasStreamlitMachine Learning

Education

Illinois Institute of Technology

Chicago, USA

Master of Computer Science

2024 – 2026

Dronacharya College of Engineering

Gurugram, India

B.Tech – Computer Science Engineering

2019 – 2023

CGPA: 8.9

Certifications

🏆Anthropic

AI Fluency: Framework & Foundations

Anthropic

View Certificate
🏆Databricks

Generative AI Fundamentals

Databricks

View Certificate
🏆Meta · Coursera

Introduction to Mobile Development

Meta · Coursera

View Certificate
🏆IBM Skills Network · Coursera

Introduction to Data Analytics

IBM Skills Network · Coursera

View Certificate
🏆Meta · Coursera

Programming with JavaScript

Meta · Coursera

View Certificate

Let’s connect

Open to Software Engineering, Full-Stack, and AI/ML roles. Let’s build something meaningful together.

doberoi.work@gmail.comLinkedInGitHub