Our Objectives:

1. Empower families to cultivate balanced, safe, and joyful digital habits in a rapidly evolving online world using AI powered technologies

2. Shape a generation that embraces digital tools as pathways to exploration, learning, and connection whilst remaining deeply rooted in genuine human interaction, creativity, and well-rounded growth.

• Fine-tune large language models (LLMs) for domain-specific tasks and optimize model performance through dataset curation, prompt engineering, and context-window optimization.

• Build and deploy agentic AI workflows using LangChain, including retrieval-augmented generation (RAG), tool-calling pipelines, and modular reasoning architectures.

• Develop an autonomous real-estate AI agent capable of parsing documents, extracting insights, answering queries, and guiding users through property evaluation and decision-making.

• Implement advanced context engineering techniques to improve grounding, reduce hallucinations, and align model outputs with business logic and user goals.

• Integrate machine learning models and multi-step agent frameworks into scalable production systems, combining data preprocessing, Python-based pipelines, and cloud AI services.

1. Leading the design and implementation of robust software architectures for lower GI surgical robotics, utilizing C++, Python, and web technologies (ReactJS, HTML, CSS) to develop intuitive UIs, while ensuring adherence to FDA guidelines for medical device software.

2. Specializing in the development and application of state-of-the-art deep learning models (using FasterRCNN, ResNet, U-Net, PolypNet bases notably) and computer vision techniques to enhance autonomous navigation and decision-making in robotic systems.

3. Implementing modern control algorithms, including Kalman Filters (KF) and Extended Kalman Filters (EKF), to improve the stability and controllability of robotic platforms, integrating visual servoing for precise operation.

4. Expertly processing, fusing, and integrating sensor data, creating sophisticated systems that accurately interpret and respond to complex surgical environments, driving advancements in medical robotics.

5. Managing the software development lifecycle, from planning and testing to deployment and version control, leveraging Agile methodologies to deliver high-quality, compliant, and effective robotics solutions.

6. Orchestrating the creation and expansion of one of the world’s largest annotated dataset for lower GI anatomy, applying advanced deep learning techniques and hyper-parameter tuning to significantly enhance model training and diagnostic precision of the robot.

Podcasting Experiment