About Me
I'm a Computer Science student at The University of Texas at Dallas with a Minor in Business Administration, focused on AI, Machine Learning, and Large Language Models.
I've completed the UT Austin AI/ML in Business Applications Program and hold certifications including Google Gen AI Leader and McKinsey Forward Program. I love combining technical expertise with business insight to build impactful solutions.
Skills
AI & ML
Languages
Tools & Platforms
Certifications
Experience
Information Technology Intern
Medallion Midstream · Irving, TX
- Analyzed and resolved data discrepancies in SQL Server Management Studio using optimized queries, increasing reporting accuracy.
- Designed and implemented an automated PowerBI dashboard ecosystem, improving engineering resource allocation visibility by 40%.
- Implemented online database applications in Caspio, tracking entity relationships similar to SQL tables.
- Presented key findings and deliverables to executive leadership, supporting informed decision making.
Software Developer Intern
BenefitMall · Dallas, TX
- Analyzed customer feedback from support desk tickets using unsupervised learning to improve support processes.
- Developed and optimized SQL queries in SQL Server Management Studio, resolving 90% of database issues.
- Built interactive Power BI dashboards enabling data interpretation to be 30–40% faster.
- Completed Cyber Defense training in Java, applying skills to identify and mitigate potential system vulnerabilities.
Projects
EasyVisa / OFLC Visa Project
UT Austin AI/ML Program · April 2025 – May 2025
- Built interactive dashboards in Google Colab to visualize trends across 775,000+ visa applications.
- Interpreted machine learning outputs to extract actionable insights for stakeholder decisions.
- Translated complex analyses into executive-ready business presentations.
Street View House Numbers Classification
UT Austin AI/ML Program · June 2025 – July 2025
- Conducted EDA on structured and unstructured image data to identify patterns and data quality issues.
- Evaluated neural networks with SGD, Adam, and dropout to compare performance improvements.
- Delivered actionable recommendations for automated number recognition in real-world applications.
Food Hub Data Analysis
UT Austin AI/ML Program · Aug 2024 – Feb 2025
- Analyzed customer order and restaurant data to uncover demand patterns and customer insights.
- Used Python for data cleaning, transformation, and exploratory data analysis.
- Developed visualizations highlighting restaurant demand, delivery efficiency, and customer ratings.
Commodity Mobile App
UT Dallas ACM · Jan 2021 – April 2021
- Developed a mobile app providing resources and support for low-income families in the Dallas Metroplex.
- Implemented UI designs and authentication using Figma, Flutter, and Android Studio.
Achievements & Programs
🥈 2nd Place — Snack Bite Venture Capital Pitch
May 2025Pitched Snack Bite, a subscription-based snack box service with a socially responsible model donating one snack box to foster care centers for every five sold. Conducted a SWOT analysis and presented to a panel of venture capital judges.
📊 View Pitch Deck →🥇 1st Place — Ocean Clean Up Venture Capital Pitch
Jun 2024Radha Krishna Temple Youth Leadership Workshop
Pitched Aqua Sweep, a waterproof drone equipped with infrared sensors to detect and collect ocean plastics while protecting marine life. Developed a scalable business model generating $1,100 profit per unit and presented the concept to a panel of venture capital judges, earning 1st place for innovation and feasibility.
📊 View Pitch Deck →UT Austin AI/ML in Business Applications Program
Jan 2025 – Present- Selected for program covering supervised/unsupervised learning, model evaluation, and neural networks.
- Advanced training in RAG systems, data visualization tools, and LLM optimization.
- Hands-on expertise building predictive and generative models using Python for real-world business problems.