Software Engineer

Ashmit Deb

University of Michigan Computer Science

Computer Science student at the University of Michigan with a minor in Entrepreneurship. Experienced in software engineering, data engineering, machine learning, and infrastructure analytics through internships at Health Care Service Corporation, Sigray, and Blue Cross Blue Shield of Michigan. Passionate about building reliable, scalable technology that turns complex data into useful products and operational insights.

Real time systems AWS and Azure Data and ML AIOps analytics

Resume Projects

Highlights

Quick scan

Built Python and PySpark pipelines for infrastructure capacity planning and forecasting
Designed Java and Spring Boot APIs with relational databases and cloud services
Automated analytics workflows using SQL, ServiceNow data, dashboards, and ML tooling

C++

Python

Java

JavaScript

TypeScript

React

Node.js

Vue

AWS

Azure

Docker

Kubernetes

PostgreSQL

C++

Python

Java

JavaScript

TypeScript

React

Node.js

Vue

AWS

Azure

Docker

Kubernetes

PostgreSQL

Technical Skills

Languages

Java Python SQL JavaScript/TypeScript C# C++ Go HTML CSS

Frameworks/Libraries

Spring Boot Node.js Express.js React Angular .NET NUnit Vue.js Flask FastAPI

Cloud/DevOps

AWS EC2/ECS/ECR/RDS Azure AKS Docker Kubernetes Jenkins GitHub CI/CD Jira

Data/ML Tools

PostgreSQL MySQL MongoDB Databricks PyTorch PySpark TensorFlow Pandas NumPy

Featured Projects

Short summaries with details expandable.

Reddit API Stock Analyzer

C++, multithreading, sentiment scoring, live reporting

Multithreaded C++ app that pulls finance subreddit posts using the Reddit API
Scores sentiment and streams output to a live CLI plus an auto generated HTML report
Thread pool concurrency with mutex guarded queues and modern C++ practices

C++ Concurrency APIs NLP

Focused on fast ingestion and scoring so results update quickly while data is still coming in. Designed to be practical for scanning sentiment signals without waiting for batch runs.

Real Time Earthquake Monitor

Node ingestion, Socket.io updates, AWS deployment

Node and Express ingestion service with Socket.io for continuous event updates
React frontend plus PostgreSQL storage, with Flask analytics services
Docker Compose builds pushed to AWS ECR and scaled on AWS ECS

Node.js React PostgreSQL AWS

Built with an iterative release flow using reviews and issue tracking, with an emphasis on resilient data pipelines that keep running even when feeds spike or network calls fail.

Experience

Health Care Service Corporation

Software Engineer Intern, May 2026 to Present, Chicago IL

Developed Python and PySpark data pipelines for ML driven infrastructure capacity planning across CPU, RAM, storage, and membership utilization trends
Built forecasting and imputation workflows over irregular telemetry to improve AIOps reporting for Linux, server, application, and infrastructure portfolios
Automated problem reporting and inventory analysis across 2,700 plus enterprise applications using SQL, ServiceNow data, and operational dashboards

Sigray

Software Engineer Intern, May 2025 to Aug 2025, Benicia CA

Improved Python workflows by integrating .NET spectral analysis modules with NUnit tests and CI validation using Jenkins on Azure AKS
Added k means clustering in Jupyter to automate mineral phase segmentation inside the analysis pipeline
Built a Node microservice on AWS EC2 streaming scanned X ray data to a Vue dashboard, reducing preview latency by 30 percent

Blue Cross Blue Shield of Michigan

Software Engineer Intern, May 2024 to Aug 2024, Detroit MI

Designed a REST claims processing system with Java and Spring Boot plus PostgreSQL validation logic, reducing processing time by 40 percent
Built and tuned MySQL schemas in AWS RDS with unit tested queries and validation dashboards, improving data integrity and repeatable releases
Improved the iOS and Android membership app by fixing 15 plus bugs and integrating the React Native UI through Firebase to a Spring Boot backend

Education

University of Michigan

B.S. Computer Science, Aug 2023 to Dec. 2027

Cumulative GPA 3.4 out of 4.0

Leadership and involvement

Michigan Financial and Math Society, Quant Lead
Michigan Student AI Laboratory, AI Project Director

Relevant coursework

Data Structures and Algorithms Object-Oriented Programming Operating Systems Computer Vision Software Engineering Compiler Construction Data Science and Statistical Analysis User Interface Development