Siraj Sandhu
About Siraj Sandhu
Siraj Sandhu is a Machine Learning Engineer currently employed at Dragonfruit AI in Los Angeles, California. He has a background in computer science and has held various roles in data science and AI research across multiple organizations, including Enphase Energy and the University of Southern California.
Work at Dragonfruit AI
Siraj Sandhu has been employed as a Machine Learning Engineer at Dragonfruit AI since 2023. His role involves applying machine learning techniques to develop innovative solutions. He is based in Los Angeles, California, where he contributes to the company's projects and initiatives in the field of artificial intelligence.
Education and Expertise
Siraj Sandhu holds a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Kanpur, completed in 2020. He is currently pursuing a Master of Science in Computer Science with a focus on Artificial Intelligence at the University of Southern California, expected to graduate in 2024. His educational background equips him with a solid foundation in computer science and machine learning principles.
Background
Siraj Sandhu has a diverse professional background in machine learning and computer vision. He began his career with internships at various organizations, including Gartner and Newzera. He worked as a Research Intern at The University of Texas at Dallas in 2018 and later served as a Computer Vision Engineer at Enphase Energy from 2020 to 2022. His experience spans multiple roles, enhancing his skills in data science and AI.
Achievements
During his tenure as an AI Researcher at USC, Siraj Sandhu developed state-of-the-art vision-language models (VLLMs) that incorporated retrieval augmented generation and experience replay for retrieval tasks. At Enphase Energy, he contributed to the development of a proprietary computer vision-guided solar design tool, showcasing his ability to apply technical skills to real-world problems.
Skills and Competencies
Siraj Sandhu possesses strong analytical, prediction, and presentation skills. He is committed to continuous learning and is eager to adopt new techniques. His collaborative approach enables him to work effectively with diverse teams, enhancing project outcomes in the fields of machine learning and artificial intelligence.