Heet Dalsania

I'm a Computer Science student at Arizona State University's Barrett Honors College, focused on artificial intelligence and machine learning. My work spans biomedical imaging, computer vision, and generative AI.

I currently conduct research at the People and Robots Laboratory (PeRL) under Prof. Pooyan Fazli, and previously worked on label-efficient medical imaging with Prof. Jianming Liang. I'm a Barrett Undergraduate Research Fellow and hold professional ML/AI certifications from Google Cloud, AWS, Oracle, Stanford, and IBM.

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Heet Dalsania

Phoenix, Arizona
Research
  • AI-Generated Video Detection
    People and Robots Laboratory (PeRL), ASU — Prof. Pooyan Fazli. Ongoing.
    Developing deep-learning methods to detect synthetically generated video content.
    Focus areas: computer vision and deep learning.
  • Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation  pdf / arXiv
    Heet Dalsania. ASU SCENE — Prof. Jianming Liang.
    Zero-shot and few-shot learning for rare disease diagnosis: adapting vision-language models to biomedical imaging with limited labeled data for computer-aided diagnosis.
  • Barrett Undergraduate Research Fellowship
    Arizona State University — Prof. Jianming Liang. Completed.
    Pursuing state-of-the-art performance in biomedical imaging and computer-aided diagnosis through advanced deep learning techniques.
Projects
  • Quire TypeScript · Yjs CRDT · Node.js · MCP  code
    Local-first Markdown workspace where people and AI agents edit the same files together. Quire preserves the original files on disk while showing live cursors, authorship, suggestions, and reviewable agent changes. Available as the public quiredocs beta.
  • FootballVision Python · PyTorch · OpenCV · FastAPI  code
    Local-first football video analysis: detects and tracks players, maps them onto a top-down pitch, and produces tactical views and post-match reports. Works with recordings or live macOS screen capture; released as a public beta.
  • Physiq React · JavaScript · Capacitor  code
    Nutrition and training app with USDA food search, macro tracking, barcode scanning, workout routines, and a 12-week weight projection. Its serverless web codebase is being prepared for iOS.
  • Pulse JavaScript · REST APIs · NLP · Sentiment Analysis  live / code
    Stock-news intelligence platform with lexicon-based sentiment analysis (bullish / bearish / neutral) for user watchlists, aggregating Yahoo Finance and Google News and ranking articles by relevance and conviction.
  • FADE Python · NLP · LLM · React  code
    Autonomous agent that generates weekly GitHub PR digests and analyzes its own execution trace to classify steps as deterministic, rule-based, or AI-required — cutting costs by up to 99.8% by replacing non-AI steps with plain code.
  • NBA MVP Predictor Python · Scikit-learn · Pandas  code
    ML model trained on NBA MVP data and player stats from 1995–2024 to weigh each stat's contribution to MVP shares, achieving 90% accuracy.
Certifications
  • Google Cloud — Professional Machine Learning Engineer
  • AWS — Certified AI Practitioner
  • Oracle Cloud — Generative AI Professional
  • Stanford / DeepLearning.AI — Supervised Machine Learning
  • IBM — Applied AI Professional Certificate
Education & Misc
  • Arizona State University, Barrett Honors College — B.S. Computer Science, 2025–Present. Barrett Undergraduate Research Fellow · Expected May 2028 · GPA 3.98 · Dean's List.
  • Skills: Python, JavaScript, PyTorch, TensorFlow, Scikit-learn, Pandas, Flask · Computer Vision, Deep Learning, NLP, CLIP, Few-Shot Learning, Generative AI · AWS, Google Cloud, IBM Watson, Oracle Cloud.
  • Activities: Claude Builder Club, Hacker Devils Club, AI Scholars Society.
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