const hemant = {
name: "Hemant Sharma",
alias: "artist-hks",
location: "Jaipur, Rajasthan 🇮🇳",
education: "B.Tech CSE",
focus: ["AI Engineering", "Machine Learning", "Deep Learning", "LLM Systems"],
building: ["AI-powered applications", "Intelligent backend systems", "End-to-end products"],
stack: ["Python", "FastAPI", "React", "TypeScript"],
interests: ["AI/ML", "System Architecture", "Full-Stack Development", "Product Design"],
contact: "artist.hks.dev@gmail.com",
funFact: "I design before I code — always."
};
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Building practical AI systems with a focus on:
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Turning models into usable software through:
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Next-Gen College Management System Full-stack PWA with role-based dashboards for Students, Faculty, HOD, Admin, Librarian & Hostel Warden. Multi-tenant architecture designed to support multiple institutions from a single deployment. Offline-first. Works without internet through Service Workers + IndexedDB.
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AI-Powered Legal Document Risk Analyzer Client-side legal document analyzer designed for Indian SMEs. Upload a contract → clause-by-clause risk detection → 0–100 risk score → plain-language summaries in English & हिंदी. Zero backend. Zero signup.
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NSE Hinglish Sentiment Analyzer Bloomberg Terminal-style dashboard exploring stock prediction through Hinglish NLP and market sentiment. Includes lag correlation analysis, LSTM-style predictions, real-time price ticks and sentiment visualization.
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Learning ML by Building From Scratch Hands-on implementations and experiments covering the foundations of Machine Learning and Deep Learning. Focused on understanding algorithms, mathematics, model behavior and implementation rather than treating ML as a collection of magic library calls. |
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Neural Networks |
LLM Applications |
Model → API |
"I design before I code — always."