I'm a Data Scientist with expertise in Machine Learning, NLP, Generative AI, and Large Language Models. Currently, I'm pursuing my Master’s in Data Analytics at San Jose State University. I'm passionate about solving complex problems using data and creating impactful solutions for the future.

My journey into Data Science and AI has been fueled by curiosity, problem-solving, and a drive to transform data into meaningful insights. With a strong foundation in Machine Learning, NLP, and Generative AI, I have worked on predictive modeling, large-scale data analysis, and AI-powered automation.

Currently, I’m pursuing a Master’s in Data Analytics at San Jose State University (Graduating May 2025). My experience spans across startups (Emigrait, Varidus & Sensegrass) and industry leaders like Samsung, where I have developed end-to-end ML pipelines, optimized models for business applications, and worked on LLMs, LangChain, and AI-driven search systems.

I specialize in Machine Learning (Supervised, Unsupervised, XGBoost, Random Forest), NLP (Transformers, RAG, Prompt Engineering), Deep Learning (CNNs, RNNs, LSTMs), and Large Language Models (OpenAI, Gemini, Hugging Face, LangChain). My skill set includes Python, SQL, MongoDB, TensorFlow, PyTorch, Data Visualization (Tableau, Power BI), and Cloud (AWS, GCP, Azure).

I am passionate about applying AI to solve real-world problems, optimizing predictive models, and enhancing explainability in ML systems. I thrive on building scalable AI solutions, improving LLM consistency, and integrating cutting-edge AI techniques into business strategies.

Let’s connect! I’m always open to collaborations, discussions, and innovative AI-driven projects. Check out my GitHub for my latest work, or reach out via LinkedIn or via email [email protected].

• Statistical Programming Language: Python Numpy Pandas SciPy, R
• Machine Learning and Deep Learning Frameworks: Scikit-Learn PyTorch Tensorflow
• Cloud and Databases: AWS Google GCP Microsoft Azure SQL Server MySQL BigQuery
• Data Visualization Tools: Matplotlib Seaborn Tableau PowerBI Looker Google Analytics
• AI Prowess: Large Language Models (LLMs) Retrieval Augmented Systems (RAGs) Fine-Tuning Generative AI Agentic AI Transformers LangChain GPTs HuggingFace Gemini Llama WhisperAI BERT RoBERTa BART LangGraph Groq OpenAI Diffusion Models GANs CGANs StyleGANs
• Machine Learning: Supervised Learning Unsupervised Learning Regression Classification Random Forest XGBoost Ensemble Learning
• Natural Language Processing (NLP): NLTK SpaCy Embedding Models
• Deep Learning: ANNs CNNs RNNs LSTMs GRUs

• Programming Languages:

• Machine Learning Frameworks:

• Cloud Platforms:

• Data Science & NLP Libraries:

• AI

• Data Visulization:

  

Project Name	Description	Languages/ Tools Used	Repository Link
Multimodal AI Agent for Web Search & Stock Analysis	This project demonstrates a multimodal AI agent setup that integrates different AI models and tools for web searching and stock analysis. The AI agents use the Groq model (powered by Llama-3.3-70b) to gather and analyze information from web search engines (DuckDuckGo) and financial data sources (Yahoo Finance) in a highly collaborative manner.	LLaMA-3.3-70b (LLM), DuckDuckGo API, YFinanceTools, Groq Model API	Project
Multimodal AI Agent - News Summarization & Sentiment Analysis	This project presents the design and implementation of a personalized news aggregator built using multi-modal AI techniques. The system collects news articles, generates summaries using language models, and performs sentiment analysis to deliver relevant and customized content to users. The agent leverages state-of-the-art AI models and frameworks, demonstrating how intelligent automation can be applied to enhance user experiences.	NLTK, Requests, NewsAPI, OpenAI GPT-3.5 Turbo (LLM)	Project
Text Generation Web Application	This project showcases an AI-Powered Text Generator built using Flask, the Google Gemini model, and the LangChain framework. The app allows users to input text and receive AI-generated content instantly, providing a powerful tool for content creators and innovators in the AI space.	LangChain, Google Gemini 1.5 Pro (LLM), Flask (Web Development)	Project
Querying PDFs with AI	In this project, an AI-powered system is built that intelligently queries and extracts answers from PDF documents. By leveraging tools like LangChain, FAISS, and OpenAI, we transformed raw text into searchable data, enabling the automatic retrieval of relevant information. This project serves as a practical introduction to using AI for document analysis, demonstrating how to automate the process of finding answers within large PDF files efficiently and effectively.	LangChain, FAISS, OpenAI API	Project
Fashion Recommendation System Using Image Features	This project demonstrates the process of building a Fashion Recommendation System using image features. By leveraging computer vision and pre-trained deep learning models, this system analyzes the visual characteristics of fashion items (e.g., color, texture, style) and recommends similar or complementary products.	Tensorflow, VGG16	Project

• Advanced deep learning techniques
• Real-time data streaming and processing
• Deployment of AI models using Docker & Kubernetes
• Building efficient NLP pipelines with Hugging Face and LangChain

Feel free to reach out to me through via email or any of the following platforms:

• Email: [email protected]
• LinkedIn: Ravjot Singh
• GitHub: Ravjot Singh
• Medium: Ravjot's Blog

Thank you for visiting my GitHub! 😄