HEY, I AM

I am a tech enthusiast who loves building apps and turning data into insights, using the latest AI technology to solve problems and create impact.

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About Me

I like turning data into stories that help people make decisions. I build AI-powered tools and full-stack web apps, and I enjoy finding patterns in data and presenting them clearly. Most of my work involves AI, data, and modern web technologies.

Education
  • MS in Business Analytics

    UT Austin, McCombs School of Business

    May 2027

  • BS in Computer Information Systems

    University of Texas at Dallas

    May 2026

Manas Ayyalaraju

Work Experience

Illustration of a resume moving through the Refactr five-stage pipeline next to the Chrome extensionPersonal Project

Refactr

Full-Stack AI Engineer

Jan 2026 – Present · Remote

Refactr rewrites your resume to fit a specific job in seconds, right on the job posting or in the web app. It matches the job's keywords without ever claiming a skill you don't have. Live at refactrapp.com.

Next.js 16React 19TypeScriptFastAPIOpenAI GPT-4o-mini+3
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Illustration of a Power BI style dashboard showing 5,500+ IT assets, device categories, and a 70% faster lookup statInterstate Batteries

IT Asset Visibility Dashboards

Data Analytics Consultant (Capstone Project)

Spring 2026 · Capstone Project

A capstone project for Interstate Batteries that pulled 5,500+ IT assets out of scattered systems into 4 interactive Power BI dashboards, cutting estimated asset lookup time by 70%.

Power BIData ConsolidationData CleaningDashboards
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Illustration of a land parcel map beside an investor portal with project cards and a funding progress barSudur Capital

Real Estate Investment Portal

Full-Stack Web Development Intern

Oct 2025 – Jan 2026 · Frisco, TX

A portal for Sudur Capital, a Frisco land development firm, that lets investors find and fund projects and lets sponsors show their developments to attract funding. We delivered the first version in 3 months.

Next.jsTypeScriptPostgreSQLJira
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Illustration of an ROC curve, four customer clusters, and 285K+ records and 85.7% fraud recall stat tilesPersonal Project

Personal Finance Health Predictor

Machine Learning Engineer

Aug 2025 – Nov 2025 · Remote

A project that helps a lender spot risky loans, catch fraud, and group customers by behavior. It reaches 85.7% recall on fraud and cuts manual loan review effort by 30%.

PythonXGBoostLightGBMScikit-learnFastAPI
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Illustration of a DFW food desert map with low-access areas highlighted and a Watson AI panelIBM (Client)

IBM Case Competition

AI & Data Analytics Consultant

Fall 2024 · Dallas–Fort Worth, TX

A team case competition with IBM as the client. We helped identify where people lack access to healthy food across the DFW region, improved detection accuracy by 25%, and presented our recommendations to IBM judges.

Watson AIGeospatial DataAPIsPredictive Modeling
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Illustration of a season calendar heatmap with back-to-back games highlighted and a rest-day bar chartPersonal Project

NBA Schedule Analysis

Data Science Analyst

May 2024 – Jul 2024 · Remote

An analysis of 1,200+ NBA games across multiple seasons that shows how rest days and back-to-back games vary through the schedule, with 10+ charts and models that make the patterns easy to see.

PythonpandasJupyterMatplotlibSeaborn
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