class AadityaPathak:
def __init__(self):
self.location = "India 🇮🇳"
self.focus = ["Machine Learning", "Full-Stack Dev", "Mobile Apps", "Backend"]
self.languages = ["Python", "JavaScript", "Dart", "TypeScript", "SQL", "C++"]
self.currently = "Building across AI systems that solve real problems , mobile, and backend"
self.ask_me_about = ["ML pipelines", "threat detection", "Flutter", "REST APIs"]
def mission(self):
return "Turn complex problems into elegant, working solutions."Languages
AI / ML
Frontend & Mobile
Tools & Infra
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A real-time, ML-powered threat detection system that understands context — not just keywords. Uses NLP and behavioural signals to classify threats with high accuracy.
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An AI-powered learning platform that personalises educational content. Designed to democratise quality education using intelligent recommendation and adaptive quizzing.
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Predictive ML system for smart waste and forest resource allocation. Uses historical patterns to reduce waste and optimise ranger/resource deployment in real time.
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A visual exploration web app that transforms how users discover and interact with photography. Built with a focus on immersive UI and smooth browsing experience.
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A production-grade quant research pipeline exploring alternative data from aviation stress. Features route overlap analysis, disruption spike detection, and Granger causality testing.
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A mobile app built in Dart/Flutter targeting skincare tracking and personalised product recommendations. Clean UI with smooth cross-platform performance.
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