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pradyten/README.md

Hi there, I'm Pradyumn Tendulkar πŸ‘‹

LinkedIn Email GitHub followers

πŸ‘¨β€πŸ’» About Me

πŸŽ“ Data Science Graduate Student at Worcester Polytechnic Institute (WPI) πŸ’Ό Aspiring ML Engineer | AI Engineer | Data Scientist 🌱 Currently building production ML applications and deployment pipelines πŸ”¬ Focused on deploying AI solutions with Streamlit, FastAPI, and cloud platforms πŸ“« Reach me at pktendulkar@wpi.edu


πŸš€ Featured Projects

πŸ› οΈ Production Applications & Deployments

PDF Extractor πŸ“„
Intelligent PDF-to-JSON converter using GPT-4 Vision API for document parsing. Production-ready Streamlit web app with both CLI and UI interfaces. Optimized for HuggingFace Spaces deployment.

Resume Analyzer & Job Matcher 🎯
AI-powered resume analysis system with BERT, Sentence Transformers, and TF-IDF. Interactive Gradio web UI and FastAPI REST endpoints. Provides compatibility scores, skill alignment, and improvement suggestions.

πŸ’» Coding Practice & Algorithms

LeetCode Solutions 🧩
Data structures and algorithms practice with solutions to competitive programming problems.

πŸ€– ML Research & Experiments

Water Quality Forecasting 🌊
Environmental ML system forecasting lake turbidity using ensemble methods (XGBoost, CatBoost) and LSTM with attention mechanisms. Real-world application for water quality monitoring.

Facial Expression Recognition 😊
Hybrid CNN-BiLSTM architecture for emotion detection with class imbalance handling. Computer vision application for emotion AI systems.


πŸ› οΈ Technical Skills

Programming Languages

Python SQL R

Machine Learning & Deep Learning

TensorFlow Keras PyTorch scikit-learn XGBoost CatBoost

NLP & Transformers

NLTK spaCy Transformers Gensim OpenAI

Computer Vision

OpenCV Pillow

Cloud & MLOps

AWS Docker Git Streamlit FastAPI Gradio

Data Science & Analytics

Pandas NumPy Matplotlib Seaborn Jupyter


πŸ“Š GitHub Stats

Pradyumn's GitHub Stats

Top Languages

GitHub Streak


🎯 Project Portfolio Summary

portfolio = {
    "production_apps": 2,
    "ml_research_projects": 21,
    "focus": "Deployment & Production Engineering",
    "domains": [
        "Production ML Applications",
        "LLM Integration (GPT-4)",
        "NLP & Transformers",
        "Computer Vision & Emotion AI",
        "Environmental Science",
        "Data Structures & Algorithms"
    ],
    "key_skills": {
        "Deployment": ["Streamlit", "Gradio", "FastAPI", "Docker", "HuggingFace"],
        "ML_Frameworks": ["TensorFlow", "PyTorch", "Scikit-learn"],
        "LLM_APIs": ["OpenAI GPT-4 Vision", "BERT", "Transformers"],
        "Deep_Learning": ["CNN", "LSTM", "BiLSTM", "Attention Mechanisms"],
        "Engineering": ["REST APIs", "Web Apps", "Cloud Deployment"]
    },
    "career_goal": "ML Engineer / AI Engineer roles"
}

πŸ† Portfolio Highlights

  • πŸš€ Production Applications: Deployed web apps with Streamlit, Gradio, and FastAPI
  • πŸ€– GPT-4 Integration: Built intelligent document parsing system with Vision API
  • 🎯 NLP Systems: BERT-powered resume analyzer with semantic similarity matching
  • πŸ’» Algorithmic Skills: Active LeetCode practice for DSA proficiency
  • πŸ”’ Security: 100% security scan pass rate, no exposed credentials
  • πŸ“ˆ Cloud-Ready: Docker containerization, REST APIs, HuggingFace optimization
  • πŸ§ͺ ML Research: 23 repositories covering diverse ML/DL domains

πŸ“‚ All Repositories

πŸš€ Production Applications (2)

πŸ’» Coding & Algorithms (1)

  • Leetcode - DSA practice & competitive programming

πŸ”¬ Environmental & Geospatial (6)

πŸ€– Computer Vision & Emotion AI (4)

πŸ₯ Healthcare & IoT (3)

πŸ’¬ NLP & Text Analytics (1)

πŸ“Š Data Science Collections (5)

πŸ§ͺ Experiments (1)


πŸ“« Let's Connect!

I'm actively seeking opportunities in ML Engineering, AI Engineering, and Data Science!


πŸ“ˆ Current Focus

  • πŸ”­ Working on: Building and deploying production ML applications
  • 🌱 Learning: MLOps, LLMs, and cloud deployment (Docker, K8s, AWS)
  • πŸ‘― Looking to collaborate on: Open-source ML/AI deployment projects
  • πŸ’¬ Ask me about: ML Engineering, Model Deployment, FastAPI, Production Systems
  • 🎯 Goal: Land an ML Engineer or AI Engineer role in 2026

⭐ Featured Repositories

Check out my pinned repositories below for my best work!

Profile Views GitHub Stars


"Building production ML systems, one deployment at a time."

Portfolio ready for your review!

Pinned Loading

  1. Leetcode Leetcode Public

    Python

  2. pdf-extractor pdf-extractor Public

    pdf-extractor

    Python