About me
Hi, I'm Vidhi Patra. I am a Computer Science major at Georgia Tech (Intelligence & Systems Architecture) with a FinTech Minor. I'm passionate about AI, machine learning, algorithmic trading, and building data-driven systems that make real-world impact.
My experience spans AI research internships, algorithmic trading at FinSentinal, AI engineering at Canva, and venture capital analysis. I've founded two startups, Promptly (a no-code AI agent platform) and Fitted (an AI-powered personal stylist). My research includes co-authoring papers on ethical AI governance (Data for Policy 2025) and cancer detection using ML models (97% accuracy, presented at SCCUR).
I'm also active in Georgia Tech's tech community as a Product Lead at AI@GT, developer at many Coding Clubs, and was a Campus Strategist for Perplexity. Check out my GitHub for projects, my LinkedIn for experience, or reach out. I'm always excited to collaborate on AI, fintech, or innovative tech solutions.
Internships
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Applied AI Research Intern at Voltage Park (Sep 2025 - Present)
Developing autonomous AI red-teaming systems to test LLMs and multimodal models for safety and robustness failures. Designed a full-stack pipeline to ingest model APIs or checkpoints and generate structured vulnerability reports with mitigations.
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Algorithmic Trading Intern at FinSentinal (Mar 2025 - Present)
Designed and backtested systematic trading strategies for XAU/USD and USD/JPY using Python, incorporating ATR-based risk management. Conducted walk-forward analysis and multi-timeframe volatility regime filtering, improving Sharpe ratios and out-of-sample performance.
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AI Engineering Intern at Canva (June 2025 - Aug 2025)
Developed CanvaMind, an AI-powered design assistant integrating design-to-code, data-to-graph, and idea-to-slide automation using Canva SDK and NLP techniques, reducing design iteration time by 30%. Built a bundle-based template recommender for college students, improving template discoverability.
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AI and Finance Intern at South Florida Investor Club (Jan 2025 - Mar 2025)
Developed and deployed a matchmaking platform connecting investors, founders, and VCs using AI-driven relevance scoring. Conducted financial and market analysis to identify investment opportunities with data-backed insights.
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SWE Intern at MIT Lincoln Lab (Jun 2023 - Aug 2023)
Applied machine learning and geospatial data analysis to predict natural disaster paths and impacts. Developed algorithms to identify optimal safety zones and prioritize relief resource distribution routes.
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SWE Intern at Building U (2024)
Developed the front end for mobile and desktop versions of a scholarship game application.
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SWE Intern at Lorven (2020 - 2021)
Developed the startup's employee management database system.
