Rohan Nair
Software Developer.
I am a software engineer specializing in building intelligent, scalable digital experiences. From orchestrating Agentic AI and MCP servers to engineering robust CI/CD pipelines and AWS cloud deployments, I bridge the gap between complex infrastructure—including mainframe modernizations—and sleek, pixel-perfect frontend applications.
Agentic AI
MCP Servers
Cloud Deployments
Full Stack Development
CI/CD Pipelines
Database Management
Automation
Mainframe Modernizations
Technical Arsenal
A comprehensive toolkit spanning cloud architecture, robust backend systems, dynamic frontends, and the automation pipelines that tie them all together.
Cloud & Infrastructure
Languages
Frameworks & Web
Databases
DevOps & Automation
Monitoring & Quality
Experience & Education
A track record of engineering scalable systems, paired with a strong academic foundation in computer science and information technology.
Professional Experience
Software Engineer
Aditi LLCColumbia, MD
- —Led Maryland SDAT mainframe modernization, migrating legacy COBOL/CICS/JCL to a cloud-native Python FastAPI backend and Angular 19 frontend.
- —Leveraged AI (Claude) for Human-in-the-Loop conversion of 119K+ lines of COBOL to Python with 98% accuracy.
- —Architected AWS cloud infrastructure (Lambda, API Gateway, RDS, S3, CloudFront) using Terraform IaC.
- —Built robust enterprise CI/CD pipelines using GitHub Actions, SonarQube, and blue/green deployment strategies.
Software Engineer
Arizona State UniversityTempe, AZ
- —Engineered a real-time AI chat assistant using React, Spring Boot Java, and PostgreSQL, cutting course query times by 40%.
- —Developed fully accessible, WCAG-compliant responsive front-end components.
- —Optimized PostgreSQL queries and indexes, improving API response times by 35%.
- —Achieved 92% test coverage using React Testing Library to ensure production stability and zero defects.
Data Analyst
VICC ProjectsMumbai, IND
- —Designed 20+ interactive Tableau dashboards to drive executive, data-informed decisions.
- —Spearheaded data validation initiatives, improving report reliability and overall data quality by 40%.
- —Automated manual reporting workflows with Tableau and Snowflake, reducing the monthly close cycle from 12 days to 3.
Education
Master of Science, Information Technology
B.E. Computer Engineering
Junior College Computer & Science
Projects
A showcase of full-stack engineering, cloud infrastructure automation, and data-driven analytical models.
COBOL/zOS/CICS Mainframe Modernization
Led a mainframe modernization, migrating legacy COBOL/CICS/JCL to a cloud-native Python FastAPI backend and Angular frontend. Leveraged AI (Claude) for Human-in-the-Loop conversion of 119K+ lines of COBOL to Python with 98% accuracy.
Cloud Elevate - Infrastructure Provisioning
Developed an application leveraging Terraform and AWS Microservices like AWS Lambda, Batch functions, SQS, RDS, S3, Cloudfront, AWS Codepipeline to provision cloud infrastructure using modular templates for efficient deployment. Automated infrastructure setup for multi-cloud environments, streamlining resource management and improving deployment consistency.
UFC Fight Prediction
Developed a fight prediction model using logistic regression on historical fight and fighter stats, achieving 71.40% accuracy. Collected and processed fight data, engineered key features, and optimized model performance for better prediction reliability.
Sentiment Analysis of Amazon Product Reviews
Applied NLP and NLTK techniques to analyze sentiment in Amazon product reviews, deriving meaningful insights. Processed large datasets, implemented text preprocessing techniques, and built classification models to detect positive and negative sentiments effectively.
AI Test Case Generator
Engineered an automated tool that generates comprehensive test scenarios and test cases directly from user stories. Supports inputs from documents (PDF, DOCX, XLS) or directly from Jira, and automatically populates the generated test cases into TestRail for seamless QA workflow integration.
COVID-19 Dashboard
Created an interactive COVID-19 data dashboard using Tableau and Python Pandas for visualization and analysis. Aggregated global and regional COVID-19 data, providing insights through real-time graphs, trends, and statistical summaries.