As a Generative AI Engineer with a deep passion for RAG, Agentic AI, and multimodal systems. Throughout my career, I have worked extensively with open-source LLMs such as Mistral, LLaMA, OpenChat, longChat, OpenHermes, DeciLM, Qwen, NexusRaven, and DeepSeek, as well as APIs like OpenAI, Groq, Claude, Gemini, Together AI, and Hugging Face. I have a strong foundation in vector databases and advanced retrieval strategies(Hybrid Search, Semantic Search), and I've developed robust multimodal RAG pipelines using frameworks like LangChain and CrewAI. I also focus on AI-driven automation, leveraging tools such as SerpAPI, Fireworks, Selenium, Parallel-AI, and Smartproxy to enable dynamic data flows and autonomous workflows. Currently, I’m actively learning and experimenting with fine-tuning techniques like Supervised Fine-Tuning, Unsupervised Fine-Tuning, Instruction Based Fine-Tuning, Multi-Task Fine-Tuning, LoRA and QLoRA through personal projects. I'm also exploring MCP (Multi-Agent Communication Protocols) and A2A (Agent-to-Agent) collaboration models to enhance coordination and decision-making among AI agents. I am passionate about pushing the boundaries of AI by integrating cutting-edge models, retrieval mechanisms, and automation strategies. Always eager to collaborate with like-minded professionals, I strive to drive innovation and create impactful AI solutions.