Welcome to my Generative AI Portfolio, a compilation of projects and hands-on experiences. This portfolio reflects my in-depth understanding and application of Generative AI technologies and techniques.

Generative AI Skills

Generative AI and Large Language Models (LLMs)

• Learned foundations and lifecycle of AI projects.
• Worked with OpenAI's GPT models to develop text generation prototypes for business applications.

Prompt Engineering

• Explored the anatomy of prompts and techniques for enhanced AI responses.
• Designed prompts to optimize chatbot performance in customer service scenarios.

Vector Databases

• Studied the architecture and importance of vector databases in AI.
• Implemented Chroma and Pinecone databases for a dynamic content recommendation system.

LangChain – An Orchestration Tool

• Learned to use LangChain for efficient AI solution orchestration.
• Developed an application integrating various AI services using LangChain.

Developing AI Applications for Enterprise

• Focused on building scalable enterprise-level AI applications.
• Created applications using real-time data processing and AI for decision support in business environments.

Generative AI Project

• Cybersecurity Complaince & Remediation (On-going)
• Chatbot RAG with Evaluation Techniques
• Lease Recommendation RAG

Technology Stack

• Frontend Technologies: Streamlit, Gradio
• AI and Machine Learning: OpenAI API, LangChain, Vector Databases (Pinecone, MongoDB, Chroma DB)
• APIs:OpenAI, Serp API
• Programming Languages: Python