const developer = {
name: "Sanket Jadhav",
role: "AI/ML Developer & Data Enthusiast",
location: "Pune, Maharashtra 🇮🇳",
code: ["Python", "SQL", "Java", "C", "C++"],
technologies: {
machineLearning: {
frameworks: ["TensorFlow", "Scikit-learn", "OpenCV"],
libraries: ["Pandas", "NumPy", "Matplotlib", "Seaborn"]
},
ai: {
tools: ["LangChain", "Gemini API", "FAISS"],
concepts: ["Neural Networks", "Deep Learning", "NLP", "Computer Vision"]
},
webDev: {
frontend: ["React", "Streamlit", "HTML", "CSS"],
backend: ["Python", "REST APIs", "Firebase Integration"]
},
databases: ["SQL", "MySQL", "Firebase Firestore"],
tools: ["Git", "GitHub", "VS Code", "Jupyter", "Google Colab", "Firebase", "Power BI"],
dataAnalytics: ["Excel", "Power Query", "EDA", "Data Visualization"]
},
education: "Diploma in Computer Technology (CGPA: 8.26)",
currentFocus: "Building AI-powered solutions and exploring Generative AI",
};
🎯 Specialized Training Areas
Data Analytics & Visualization • Generative AI & Cloud Computing • Artificial Intelligence Fundamentals • Python Programming & Development
AI-powered solutions that actually work (most of the time):
🤖 ClearClause - Your AI Legal Companion
An intelligent legal assistant that transforms how you interact with complex legal documents. Powered by Google Gemini API and LangChain, it performs instant Q&A, generates concise summaries, and provides multilingual translations. Features semantic search using FAISS vector storage that cuts query response time by 30%, and a custom-designed Streamlit interface that boosted user task completion by 40%.
Built with: Python, Streamlit, Google Gemini API, LangChain, FAISS, Custom CSS
🌸 Flower Species Classifier - ML That Actually Learns
A machine learning classification model trained on the classic Iris dataset that identifies flower species with 95% accuracy. Implements Logistic Regression with proper feature engineering and preprocessing pipelines. Includes comprehensive exploratory data analysis and visualization to ensure model reliability and interpretability.
Built with: Python, TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib, Jupyter Notebook
Check out more of my experiments on GitHub (some even have documentation).
I'm always excited to collaborate on innovative AI/ML projects, discuss cutting-edge technology, or explore new opportunities!
📫 How to reach me:
Interested in collaborating on AI/ML projects or internship opportunities? Let's connect!
