🎯 2024 Goals:
- Contribute to Open Source projects in AI and Machine Learning.
- Integrate ML models into my apps and explore deeper applications of Computer Vision, LLMs, and Vector Databases.
🌱 Currently exploring:
- Retrieval-Augmented Generation (RAG) systems, Generative AI, and multimodal solutions to push AI boundaries.
🤝 Collaboration goals:
- I love teamwork and am always open to collaborating on exciting AI and software projects.
⚡ Fun facts:
- I’m passionate about tattoos, love playing guitar, and am a fan of JDM cars!
- Retrieval-Augmented Generation (RAG): Developing RAG pipelines, utilizing auto-retrieval for optimized metadata filters, and building multimodal RAG systems combining text, images, and real-time internet search.
- Generative AI: Designing multi-agent solutions for automated tasks like report generation, presentations, and data analysis with tools like Langchain, LangGraph, and LangSmith.
- Computer Vision: Creating applications from eCommerce search engines (text and image-based) to innovative accessibility solutions in mobile UI.
- NLP & LLMs: Deep experience with large language models and natural language processing for conversational and generative applications.
- Azure Services: Expert in scalable deployments with Azure Kubernetes Service, App Service, and Docker for creating robust, cloud-based AI solutions.
- Cross-Platform Development: Significant experience in mobile development (Android, iOS, and Flutter) with a focus on integrating ML and AI into apps.
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