🎓 Data Science Graduate Student at Worcester Polytechnic Institute (WPI) 💼 Aspiring ML Engineer | AI Engineer | Data Scientist 🌱 Currently building production ML applications and deployment pipelines 🔬 Focused on deploying AI solutions with Streamlit, FastAPI, and cloud platforms 📫 Reach me at pktendulkar@wpi.edu
PDF Extractor 📄
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.
LeetCode Solutions 🧩
Data structures and algorithms practice with solutions to competitive programming problems.
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.
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"
}- 🚀 Production Applications: Deployed web apps with Streamlit, Gradio, and FastAPI
- 🤖 GPT-4 Integration: Built intelligent document parsing system with Vision API
- 🎯 NLP Systems: BERT-powered resume analyzer with semantic similarity matching
- 💻 Algorithmic Skills: Active LeetCode practice for DSA proficiency
- 🔒 Security: 100% security scan pass rate, no exposed credentials
- 📈 Cloud-Ready: Docker containerization, REST APIs, HuggingFace optimization
- 🧪 ML Research: 23 repositories covering diverse ML/DL domains
- pdf-extractor - GPT-4 Vision document parser
- Resume-Comparator - BERT-powered resume analyzer
- Leetcode - DSA practice & competitive programming
- water-quality-forecasting-ml
- environmental-data-projects
- lake-turbidity-forecasting-ensemble
- bangalore-water-quality-ml
- lake-turbidity-analysis
- time-series-regression-xgboost
- facial-expression-recognition-cnn-bilstm
- facial-emotion-recognition-v3
- emotion-detection-deep-learning
- emotion-classification-lstm
- ml-classification-projects
- web-scraping-projects
- statistical-ml-analysis
- regression-diagnostics-ml
- data-visualization-analysis
I'm actively seeking opportunities in ML Engineering, AI Engineering, and Data Science!
- 💼 LinkedIn - Let's connect professionally
- 📧 Email - pktendulkar@wpi.edu
- 🐙 GitHub - Check out my projects
- 📍 Location: Worcester, MA (Open to relocation)
- 🔭 Working on: Building and deploying production ML applications
- 🌱 Learning: MLOps, LLMs, and cloud deployment (Docker, K8s, AWS)
- 👯 Looking to collaborate on: Open-source ML/AI deployment projects
- 💬 Ask me about: ML Engineering, Model Deployment, FastAPI, Production Systems
- 🎯 Goal: Land an ML Engineer or AI Engineer role in 2026
"Building production ML systems, one deployment at a time."
Portfolio ready for your review!