Software Engineer

Nirmal
Alla.

CS & Mathematics student at Vanderbilt University. I build full-stack applications, cloud infrastructure, and developer tools — with a focus on clean architecture and real-world impact.

309-732-6282allanirmal@gmail.comlinkedin.com/in/nirmalallagithub.com/nirmalalla
Scroll

Where I've worked

Experience

Software Engineer Intern

Capital One · Chicago, IL

June 2026 – August 2026
  • Built a Slack Bolt bot in Python, hosted on AWS Fargate, that consumed PagerDuty-triggered alerts for expired production events over a socket connection, automating what was previously manual on-call triage.
  • Engineered a context-aggregation pipeline in Go that concurrently queried and correlated data from CloudWatch logs and DynamoDB tables using multithreading, assembling structured incident context in place of unenriched PagerDuty alerts.
  • Designed an LLM-powered root-cause-analysis workflow that transformed aggregated log and metadata context into concise actionable incident summaries, posted directly to the on-call Slack channel.
  • Reduced manual investigation time for on-call engineers by automating context-gathering and RCA generation across expired-event incidents, improving mean time to resolution.

Software Engineer Intern

Principal Financial Group · Des Moines, IA

May 2025 – August 2025
  • Built a cross-region health check endpoint and automated disaster recovery system in AWS, enabling API traffic to fail over to a secondary API in an alternate region in case of primary region downtime.
  • Refactored an API endpoint to use AWS Step Functions and securely transmit encrypted sensitive data between steps, eliminating an intermediate encrypted metadata table and improving security.
  • Migrated 6 AWS Lambda functions and 2 APIs from Serverless Framework YAML to TypeScript-based AWS CDK, improving deploy stability and code readability in a GitHub Actions CI/CD pipeline.
  • Developed a real-time data pipeline capturing DynamoDB updates, streaming to S3, and loading into Snowflake via SQL — enabling the analytics team to access up-to-date insights.

Research Assistant

Medical-Image Analysis and Statistical Interpretation Lab · Nashville, TN

Jan. 2025 – May 2025
  • Managed and preprocessed 5,800+ CT scans for a comparative study on historical bone density patterns and contemporary osteoporosis trends.
  • Executed image processing workflows using TotalSegmentator to generate detailed 3D renderings of anatomical structures.
  • Implemented CT phase determination protocols, standardizing scan analysis procedures across historical and contemporary sample sets.

Engineering Manager

ChangePlusPlus · Nashville, TN

Sep. 2024 – May 2025
  • Led and mentored a cross-functional team of 8 developers and 1 designer using agile development practices.
  • Oversaw end-to-end development of an Android app for a nonprofit, focused on offline data entry and database synchronization.
  • Managed GitHub workflows including code reviews, PR oversight, and code quality standards across the team.
  • Defined technical architecture decisions including tech stack selection and database design for an offline-first mobile application.

Software Engineer

Vanderbilt University Medical Center · Nashville, TN

April 2024 – May 2025
  • Optimized Clinical Informatics systems, improving runtime by over 25% through extensive testing and research.
  • Developed a server and user interface enabling clinicians to access critical datasets efficiently.

Academic background

Education

Vanderbilt University

Bachelor of Science in Computer Science and Mathematics

Nashville, TN

Expected May 2027

Things I've built

Projects

VandyCourses

Dec. 2024 – Feb. 2025

  • Full-stack web app serving 5,000+ Vanderbilt students for anonymous grade sharing with Google OAuth2 authentication.
  • Responsive frontend with CRUD operations for course grade data filterable by multiple parameters.
  • REST API using Sequelize ORM and MySQL on AWS RDS, following MVC design pattern with secure endpoints.
  • Cloud deployment via Vercel (frontend), Render (backend), and AWS RDS with a full CI/CD pipeline.
TypeScriptReact.jsNext.jsNode.jsExpress.jsMySQLAWS RDS

NHL Predictor

Dec. 2023 – Jan. 2024

  • Predictive model to determine the most likely recipients of NHL award categories.
  • Formatted and prepared 15+ years and 3,000+ data points for training using Pandas dataframes.
  • Trained using a Multi-Output Regressor from Scikit-learn, generating the 5 most likely award recipients with high accuracy.
PythonFlaskPandasScikit-learnNumPy

What I work with

Skills

Languages

PythonTypeScriptJavaScriptJavaC++SQLHTML/CSS

Frameworks & Libraries

React.jsReact NativeNext.jsNode.jsExpress.jsFlaskSequelizePandasScikit-learnNumPyAWS SDKAWS CDK

Cloud & DevOps

AWS LambdaDynamoDBRDSIAMVercelRenderGitCI/CDGitHub Actions

Development Tools

VS CodeIntelliJAndroid StudioGitHubNeoVim