Jaiom Rola
Dev-Ops Inern @ SailPoint
About
I'm a Computer Science student at UT Dallas (class of 2028) with a Finance minor, building full stack applications and AI powered tools that involve combining Engineering and Finance.Currently a Full Stack Software Engineer at UTD Nebula Labs and a Goldman Sachs Apprentice, I've had the chance to work across the stack from React Native and Next.js on the frontend to FastAPI, PostgreSQL, and Docker on the backend. I've also done cybersecurity work at Serent Capital, where I built Python automations using the Datadog API to cut incident response times by 25%.Some things I've built: Finsense, an AI-powered portfolio optimization platform using OpenAI and Yahoo Finance APIs, and Legal Whiz, a SaaS app that automates legal document generation with LLM integration.My stack: Python, JavaScript/TypeScrip
United States
Round Rock
Computer Software
C++, Critical Thinking, Time Management, Communication, Entrepreneurship, .NET Framework, Project Management, Microsoft Copilot, C#, Kotlin, Git, Cybersecurity, Penetration Testing, Data Analysis, Python (Programming Language), JavaScript, React.js, Jira, Confluence, Software Development
Experience

Full Stack Developer
Richardson, Texas, United States
Contributed to the development and maintenance of UTD-Trends, a data visualization tool that enables students to analyze historical course and section data using the Nebula API and Rate My Professor API. Utilized React.js for front-end development and Node.js for back-end, achieving a 30% improvement in page load times and a 20% increase in user engagement through a responsive and user-friendly interface. Effectively communicated with a team of ten through JIRA and Confluence, using Github branches to optimize workflow

Emerging Leaders Series - Engineering
Selected participant in a competitive leadership series focused on technical training, professional mentorship, and exploring engineering career paths within the financial sector. Gained hands-on exposure to high-stakes technology environments while building a network of industry leaders and peers in the Dallas hub.

Cyber Security Intern
Austin, Texas, United States
Developed an automation using Python and the Datadog API that conducted risk assessments, reducing incident response time by 25%, by analyzing real-time system metrics and generating proactive anomaly alerts. Demonstrated strong communication skills by translating complex technical security concepts into actionable business insights for executive leadership across 3 different portfolio companies.

Student
United States
Boot Camp I: - Introductory course for students with a curriculum based around python - Exposure to software development concepts - Foundational information for students new to programming Software Engineering Leadership Program -Developed collaborative and individual programming skills in Python and JavaScript, Processing, and HTML - Built a web application to address and bring awareness to a Civics issue local to Austin - Coordinated with team members to construct a civic engagement application Elite 101: - Course for program participants in preparation for summer internships - Students made familiar with industry standard methodologies such as the Agile Methodology, collaboration, and standups Elite 102: - Self-paced, independent preparation course for upcoming summer internship - Participants made familiar to process of developing a full-stack project - Tasked to build a banking application with a backend, GUI, and database Data Analytics: - Completed an intensive data analytics course, demonstrating proficiency in statistical analysis, data visualization, and machine learning techniques. -Applied data-driven decision-making skills acquired through the course to solve real-world business problems and optimize processes

Software Engineering Intern
Led the development of a minimum viable product using React Native for a relationship timeline feature, improving client relationship tracking accuracy by 80%, by designing and deploying relational databases on AWS and Azure to support scalable real estate data systems. Optimized and containerized existing matchmaking microservices for realtor-buyer pairing, boosting deployment consistency and scalability by 15%, by refactoring Docker configurations and streamlining integration with AWS and Azure cloud environments.
Jaiom Rola's Contact Information
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