I’m a Machine Learning Engineer on the ML Infrastructure team at SambaNova Systems, driving high-priority model bring-ups and urgent customer requests, as well as strategic ML pipeline automation and infrastructure efficiency initiatives. Collaborating on cross-layer projects, I accelerate end-to-end development velocity on Reconfigurable Dataflow Units, deploying Generative LLMs (Language & Multimodal) training, pre-training, fine-tuning, and inference—for developers, national laboratories, and private enterprises within critical deadlines over Cloud & On-Perm. My expertise stems from a funded robotics master's at Carnegie Mellon University (CMU) Robotics Institute - School of Computer Science with Computer Vision (CV), Deep Learning (DL) & Machine Learning (ML) depth and Software Engineer Intern experience at JBT Corporation - Automated Systems & Robotics.

My unwavering commitment to solving complex real-world Artificial Intelligence (AI)-powered automation challenges, coupled with a strong desire to democratize affordable and accessible technology, drives career aspirations in my speciality.

Given my strong academic background, prestigious accolades, 5+ years of extensive practical experience developing industry-relevant solutions in diverse CV, DL and ML global ventures under esteemed sponsorships, with over 9 publications, combined with my demonstrated track record of soft skills through extracurriculars & volunteering, I am an excellent candidate for a relevant position.