About Me
Hi, I’m Ridham Gajera. I have extensive experience in back-end development and AI, and I love working on innovative projects that make a difference. I enjoy using the latest technology to build useful solutions and am always keen to learn new things.
What I Do
I specialize in back-end development using Python, Django, FastAPI, and Streamlit. I handle API integration, develop robust web services, and manage databases like MySQL, PostgreSQL, and SQLite. I use Docker for containerization and AWS for cloud services. My expertise includes web scraping, data extraction, and AI technologies like TensorFlow, PyTorch, and LangChain. I also develop AI applications, AI chatbots, and utilize Retrieval-Augmented Generation (RAG) techniques.
My Passion
I love using technology to solve practical problems. Whether it’s developing AI apps, building efficient back-end systems, or integrating AI chatbots, I’m committed to finding smart solutions and always improving my skills.
Let’s Connect
I’d love to connect with others who are into technology. If you want to talk about projects or share ideas, feel free to reach out!
Skills
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Work Experience
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Industry Experience
This project is a financial news analysis tool built using Llama Index, Python, and ChatGPT-4 integrated with Streamlit. The tool allows users to input financial news articles or data and receive insightful analysis based on advanced natural language processing techniques.
Github : https://www.twine.net/signin
Utilizing Selenium with headless Chrome and BeautifulSoup, this Python script extracts text content from dynamic web pages. Ideal for automated data collection and analysis tasks.
Github : https://www.twine.net/signin
The Banking Chatbot leverages AI and ML to create a highly responsive and intelligent platform that understands and processes user queries in natural language. It provides accurate and context-aware information about the banking sector, all within a user-friendly interface designed to significantly enhance the customer experience.
Github : https://www.twine.net/signin
This Streamlit-based Python app generates AI illustrations from text prompts using the Stable Diffusion model. It integrates Torch for deep learning, PIL for image handling, and offers a user-friendly interface for prompt input and instant image generation, showcasing real-time AI visual creation.
Github : https://www.twine.net/signin
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