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vaish9825/README.md

Myself Vaishnavi Waghmare - 3rd year student at IIIT Allahabad

I am a Full Stack Developer and Machine Learning enthusiast focused on building scalable applications and optimizing deep learning models. I specialize in architecting responsive web and mobile solutions while actively researching transformer-based architectures for predictive modeling. My work bridges the gap between complex backend logic and intuitive user interfaces, backed by a strong foundation in data structures and algorithms.

  • Development Stack: I build high-performance web apps using React, Node.js, and PostgreSQL, and cross-platform mobile solutions with Flutter.
  • Machine Learning: My focus is on fine-tuning Transformer models (DeBERTa) and optimizing data pipelines using PyTorch and NVIDIA DALI.
  • Algorithmic Problem Solving: I am a Codeforces Specialist (Max Rating: 1527) with over 500+ problems solved on LeetCode, ensuring efficient and optimized code in production environments.
  • Key Achievements: Secured National Rank 17 (Top 1%) in the Amazon ML Challenge 2025 and selected for the Google Student Launchpad 2025.

🛠 Languages


⚙️ Frameworks & Libraries


🧠 AI / ML & Data


🖥 Backend & APIs


🧰 Developer Tools


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  1. Product_Price_Prediction Product_Price_Prediction Public

    Machine learning project for predicting e-commerce product prices using transformer-based models on large-scale, noisy catalog data. Built for the Amazon ML Challenge 2025.

    Jupyter Notebook

  2. corp_gym corp_gym Public

    Grand Finale Project for the Meta PyTorch OpenEnv Hackathon x Scaler School of Technology. An AI-powered enterprise learning and workforce training platform built with LLM-driven adaptive learning …

    Jupyter Notebook

  3. openenv-jira-to-code openenv-jira-to-code Public

    Jira-To-Code is a Reinforcement Learning (RL) environment that challenges AI agents to act as Senior Software Engineers by resolving real-world Jira tickets within a secure codebase.

    Python