Rishab Ramalingam

I am a

About

Hello! I'm Rishab Ramalingam, a Computer Science student at the University of Utah specializing in enterprise platform development and full-stack engineering. Currently working as a Platform Engineer and Chief Commercial Officer (CCO) at Vektara Ventures, I architect automated workflows and build scalable solutions for enterprise systems.

Current Roles

Platform Engineer at University of Utah IT Services, where I develop enterprise workflows using JavaScript, SQL, and REST APIs. I'm also the Chief Commercial Officer (CCO) at Vektara Ventures, leading GTM automation pipelines and sales analytics solutions.

Focus Areas

Building automation systems, improving workflow efficiency, and creating data-driven solutions. Passionate about applying technology to solve real-world business challenges and optimizing enterprise processes.

Technical Arsenal

ServiceNow JavaScript/TypeScript Python React Node.js Flask MongoDB SQL REST APIs Git/GitHub ITIL GTM Automation

Beyond Coding

I am currently the Chief Customer Officer at Vektara Ventures, a FinTech startup based out of Dallas, Texas. Active member of the Management and Consulting Club at the University of Utah, participating in case competitions and business strategy workshops.

Professional Experience

University of Utah - IT Services

Platform Engineering Intern

Salt Lake City, UT | Jun 2025 - Present

  • Architected enterprise ServiceNow workflows using JavaScript, SQL, and REST APIs serving 45,000+ university users
  • Reduced ticket resolution time by 35% through automated process orchestration and business rule optimization
  • Developed automated workflow engines integrating ServiceNow with enterprise systems
  • Implemented ITIL best practices resulting in 40% improvement in first-call resolution rates
  • Streamlined user provisioning reducing manual tasks by 60% through workflow automation

Vektara Ventures

Chief Commercial Officer (CCO)

Remote | July 2025 - Present

  • Engineered scalable GTM automation pipelines using Python and REST APIs for B2B SaaS platform
  • Automated lead generation reducing manual prospecting by 70%
  • Built lead scoring and CRM data enrichment system integrating Hunter.io and Clearbit APIs
  • Improved lead qualification accuracy by 85% through automated data analysis
  • Architected sales funnel analytics and KPI dashboards tracking conversion metrics and pipeline performance

University of Utah - Housing & Residential Education

Developer and Housing Ambassador

Salt Lake City, UT | Jun 2024 - May 2025

  • Developed automated email response system using Python and web scraping that reduced repetitive inquiries by 40%
  • Built RESTful APIs integrating FAQ data from university systems improving response accuracy
  • Designed and maintained database schemas and data integration pipelines for student housing information systems
  • Collaborated with cross-functional teams to optimize user experience and implement automated solutions

Education

University of Utah - College of Engineering

Honors Bachelor of Science in Computer Science

Aug 2023 - May 2027 | Salt Lake City, UT

Relevant Coursework:

  • Data Structures & Algorithms
  • Computer Organization
  • Software Organization
  • Network Security
  • Discrete Mathematics
  • Database Systems

Activities: Management and Consulting Club - Active member participating in case competitions and business strategy workshops

Featured Projects

Building practical solutions and tools that solve real-world problems

🎯 AI Resume Optimizer

Latest Project: Full-stack tool that analyzes job descriptions and automatically optimizes resumes using NLP and OpenAI API. Built with React, Flask, and Python.

React • Flask • OpenAI API • NLP • Python

Cloud Cost Optimizer

In Progress: Serverless FinOps platform using AWS Lambda and Step Functions. Analyzes cloud spending and provides cost-saving recommendations.

AWS Lambda • Terraform • Python • Cost Explorer API

FactFlow

ML-powered Chrome extension using TF-IDF and PassiveAggressiveClassifier to detect news credibility with 88% F1 score.

Python • Flask • Chrome Extension • NLP • ML

My2KAssistant

Full-stack sports analytics platform with React interface, NBA API integration, and real-time data processing.

Python • Flask • React • SQLite • NBA API

Spotify Analysis

Data analysis pipeline in R with TidyVerse for Spotify track feature comparison. Visualized insights across genre patterns.

R • TidyVerse • Data Visualization • Statistical Analysis

Contact

Let's connect! Feel free to reach out for collaborations or opportunities.

Location:

Salt Lake City, Utah, United States

Call:

+1 385-216-9968