On a mission to advance AI and machine learning through research, development, and practical applications. Here's a summary of my journey so far.

MoneyLion

Cooking!

AI Planet

At AI Planet, I focused on developing cutting-edge RAG systems and contributing to state-of-the-art AI research. My role involved leading the development of RAG pipelines, contributing to open-source Python libraries, and advancing the capabilities of AI frameworks.

  • Led development of RAG (Retrieval-Augmented Generation) pipelines, improving accuracy by 20% through advanced retrieval strategies.
  • Core developer for ‘beyondllm’ Python library, contributing to open-source AI infrastructure used by the community.
  • Conducted research on state-of-the-art AI systems, staying at the forefront of machine learning innovations.
  • Enhanced OpenAGI framework capabilities, extending support for advanced AI agent functionalities.

Cosmolabs

Co-founded Cosmolabs to develop AI agents for customer support automation. Leading the technical development and strategic direction while building scalable AI solutions for multiple industries.

  • Developing sophisticated AI agents for customer support automation, reducing response times and improving customer satisfaction.
  • Automated complex operational tasks across multiple industries, streamlining workflows and reducing manual overhead.
  • Leading pre-seed phase development and customer expansion, balancing technical leadership with business development.
  • Building scalable AI infrastructure capable of handling enterprise-level workloads and customer demands.

TDCX

At TDCX, I worked on integrating cutting-edge Large Language Models and building scalable ML infrastructure on Google Cloud Platform. This role provided hands-on experience with enterprise-level AI deployments.

  • Integrated cutting-edge LLMs including Google’s VertexAI and Palm2 models for production applications.
  • Implemented PostgreSQL integration with pgvector on Google Cloud Platform, enabling efficient vector similarity searches.
  • Led migration from OpenAI to Google Vertex AI platform, improving cost efficiency and reducing vendor dependency.
  • Developed scalable ML pipelines capable of handling high-throughput inference workloads in production environments.