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I am Yahya Ghani
Full Stack Ai Engineer.

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Product Hacker={
Name:'Yahya Ghani',
Dev: ['Python (Flask/Django)', 'React (TS/Native)', 'PHP'],
ML: ['Tensorflow', 'Torch', 'Keras', 'Spacy', 'NLTK', 'OpenCV', 'Sci-kit', 'CUDA'],
LLMOPS: ['GPT2+Finetune', 'RAGOps', 'LangChain', 'LlamaIndex', 'W&B'],
Infra: ['SQL', 'NoSql', 'GraphQl', 'GCP', 'AWS', 'Kubernetes', 'Docker', 'Celery', 'Socket'],
Misc: ['Linux', 'Gimp', 'Blender', 'Unity', 'Figma'],
Papers: ['ReAct', 'AIAYN', 'BERT', 'CLIP', 'Swin', 'TableNet', 'GPT', 'MobileNetV3'],
};

Who am I ?

I am Yahya, I have 6+ years of experience in early-stage tech and the solofounder of Caddie Ai, an AI-driven App I developed from scratch. My Career in early stage building has taught me invaluable lessons in managing technical debt and enhancing product functionality. My expertise extend to creating efficient data pipelines, debugging stateful user interfaces for web and native applications and architecting the early stage scaffolding for Early stage Applications. I eagerly anticipate discussing our shared visions to explore how we can create a dent in this universe.

Yahya Ghani
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Experiences
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(Jul 2023 - Dec 2024)

SoloFounder

Caddie AI

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(Dec 2021 - Jan 2023)

Full Stack Ai Lead

PerformanceGolf.com

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(Aug 2020 - Mar 2022)

Founding Engineer

Image Restoration Center

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(Mar 2020 - Aug 2020)

NLP Developer

American Heart Association

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(Mar 2019 - Aug 2019)

Product Engineer

Skyscanner

PROJECTS

Caddie AI

project={
name:'Caddie AI',
tools: ['Python', 'React', 'Flask', 'React-Native', 'GCP', 'Docker', 'Pub/Sub', 'Sql', 'NLP', 'Computer Vision', 'Nginx],
myRole:Fullstack Developer,
code: https://apps.apple.com/us/app/caddie-ai-the-chatgpt-of-golf/id6455428257?platform=iphone,
demo: https://app.cadddie.com,
credentials: username: testing, password: 1234,
Description: • Pioneered the creation of Caddie AI, merging Golf Swing theory Rag Systems with bespoke golf swing models by generating custom datasets & model architecture ranging from LSTMs,GANs, Fine-Tuned Llm, Swin Transformer & ML-Kit, Blender 3D models via threejs • Architected Backend with Python Flask,frontend with React and React Native,landing page in Nextjs. • Built relational DB models on sqlite along with Cloud Storage for user data storage. • Built the Ui Components in React that were also consumed in the react-native ios app via expo • Implemented full cycle cloud-ops using GCP ,supervisor,redis,pub/sub, expo-native,Docker • Conducted extensive research, grounding the tech with insights from 23 academic papers. • Achieved a breakthrough feature: live swing analysis, offering real-time voice feedback within 7 seconds by partitioning tasks between edge & cloud-based inference. • Managed Marketing Dashboards, Google / Meta / Appstore Ads • Grew the App to over 9,000 Instagram followers, 1,000+ app installs within 2 months of launch, 3 Golf influencers, current peak usage is 88 concurrent users,
}

Casebook AI

project={
name:'Casebook AI',
tools: ['React', 'Python', 'TypeScript', 'Embeddings', 'LLMs', 'Quill-JS', 'Threejs', 'graph algorithms],
myRole:Full Stack Developer,
code: https://github.com/yahyaghani/casebook_ai_frontend,
demo: https://app.casebk.com,
credentials: username: testing, password: 1234,
Description: I have designed and developed a full-stack web app that leverages LLMs to provide in-depth legal analysis,contract + appeal document creation. I created the UI using React, Typescript, MUI, TailwindCSS, Quill-Editor, and a number of PDF libraries to create interactive highlights.The Backend is in Python flask, leveraging chromadb and openai amongst many other packages.,
}