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pv_itwebworks

Prathamesh

@pv_itwebworks

AI and Machine Learning Engineer

India
Engels, Hindi, Marathi
Sommige informatie wordt in het Engels weergegeven.
Over mij
Hi! I'm Prathamesh, an AI & Machine Learning Engineer specializing in Python, Generative AI, and Deep Learning. I build intelligent solutions including AI chatbots, RAG applications, AI agents, machine learning models, and prediction systems. My expertise includes Python, TensorFlow, Scikit-learn, LangChain, Gemini API, FastAPI, PostgreSQL, MongoDB, and Docker. I focus on delivering quality work, understanding client requirements, and providing reliable solutions. Let's collaborate and turn your ideas into reality with AI!... Lees meer

Skills

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pv_itwebworks
Prathamesh
offline • 
Gemiddelde reactietijd: 1 uur

Bekijk mijn diensten

Machine learning
I will build and optimize machine learning regression models in python
VanafUS$ 90 / projectMeer informatie
Machine learning
I will build and optimize a machine learning classification model
VanafUS$ 90 / projectMeer informatie

Portfolio

Werkervaring

Freelance

AIML Engineer

Freelance • Freelance

Jan 2025 - Present • 1 yr 10 mos

Worked on developing AI and Machine Learning solutions involving predictive modeling, Deep Learning, Generative AI, and intelligent application development. Key Responsibilities & Technical Contributions: • Developed and optimized Machine Learning models for classification, regression, and predictive analytics using Python and Scikit-learn. • Built predictive models using algorithms such as Logistic Regression, Random Forest, CatBoost, and XGBoost. • Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and handling of missing values to prepare datasets for model training. • Applied hyperparameter tuning techniques using RandomizedSearchCV and GridSearchCV to improve model performance. • Developed Deep Learning models using TensorFlow and Keras, including CNN, LSTM, and GRU architectures. • Worked on CNN-based image classification and experimented with Genetic Algorithms, Honey Badger Optimization, and Dragonfly Optimization for hyperparameter optimization. • Developed Generative AI applications using LLMs, LangChain, Gemini API, prompt engineering, and Retrieval-Augmented Generation (RAG). • Built AI-powered chatbots and learning assistants with semantic search, contextual question answering, and AI agent capabilities. • Developed REST APIs using FastAPI to integrate Machine Learning models into applications. • Worked with PostgreSQL, MongoDB, and ChromaDB for data storage and retrieval. • Integrated AI models with UI interfaces and used Docker for application deployment.