I’m currently working as a Machine Learning Engineer at Beam AI, where I build intelligent systems using LLMs, RAG pipelines, and custom evaluation tools. I’m also an open source contributor to LangChain AI and Confident AI, focusing on improving tooling around large language models and model evaluation. My work lies at the intersection of AI, computer vision, and robotics, driven by a passion for solving complex problems at scale.
- Artificial Intelligence: Pushing the boundaries with cutting-edge models and applications.
- Computer Vision: Creating real-time vision systems for robotics and automation.
- Robotics: Working on SLAM, path planning, and intelligent control systems.
- Open Source: Building and contributing to impactful AI/ML tools and frameworks.
- LLMs + RAG: Architecting retrieval-augmented agents with LangChain.
- Signal Processing & ML: Analyzing physiological signals for preference prediction.
- YOLOv8: Enhancing object detection and segmentation models.
- Multimodal Robotics: Integrating vision, control, and AI for autonomy.
- AI/ML Research Projects: Let’s build innovative, real-world solutions.
- Robotics Systems: Autonomous navigation, control, and perception pipelines.
- Open Source Initiatives: Especially involving LLMs, evaluation, and agent frameworks.
- STEM Outreach & Mentorship: Supporting aspiring developers and researchers.
I’m deeply inspired by Boston Dynamics’ robotics and aim to advance robotic intelligence for positive human impact. When not developing systems, I enjoy mentoring students and contributing to open-source tools that make AI more accessible and responsible.
