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garg-khushi/README.md

👋 Hi, I’m Khushi Garg
Full-stack engineer working with React, TypeScript & Node.js.
I build real products, solve hard DSA problems, and explore applied ML.
Currently preparing for top-tier engineering roles & Summer 2026 internships.

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  1. chore-coo chore-coo Public

    Agentic AI system for intelligent task orchestration, priority management, and human-in-the-loop execution via conversational interfaces.

    TypeScript

  2. f1-race-prediction-ml f1-race-prediction-ml Public

    Machine learning pipeline for Formula 1 race outcome prediction using historical data, feature engineering, and model evaluation.

    Python

  3. equity-portfolio-dashboard equity-portfolio-dashboard Public

    Full-stack investment portfolio analytics platform built with React, TypeScript, and Supabase, featuring real-time data and interactive visualizations.

    TypeScript

  4. repo-intelligence-engine repo-intelligence-engine Public

    LLM-powered repository intelligence engine for contextual code understanding, retrieval-augmented QA, and conversational exploration of codebases.

    Python 1

  5. drl-ris-wireless-optimization drl-ris-wireless-optimization Public

    Deep reinforcement learning framework for joint beamforming and RIS phase optimization in MU-MISO wireless systems under imperfect CSI and impulsive noise.

    Python 1

  6. style-scout-multimodal-fashion-ai style-scout-multimodal-fashion-ai Public

    Multimodal fashion discovery engine (BTP group project) using CLIP and FAISS for aesthetic-first search across text, images, and Pinterest boards.

    TypeScript