I’m a Machine Learning Frameworks Engineer at Amazon AWS Annapurna Labs architecting PyTorch & JAX to "Just Work" on AWS Trn/Inf accelerators, cross-functionally driving PJRT, compiler & runtime development. Spanning the neuron stack, I optimize distributed model performance via graph fusion/decomposition, TP, sharding & kernel design, while triaging compiler-runtime gaps, enabling operational excellence for cloud AI workloads to accelerate developer velocity through upstream OSS contributions & automated testing. 

My expertise stems from deploying text & multimodal LLM training, fine-tuning & inference on custom accelerators at SambaNova Systems and a funded robotics master's at Carnegie Mellon University (CMU) Robotics Institute - School of Computer Science with CV, DL & ML depth and Software Engineer Intern experience at JBT Corporation - Automated Systems & Robotics.

My unwavering commitment to solving complex real-world Artificial Intelligence-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 10 publications, combined with my demonstrated track record of soft skills through extracurriculars & volunteering, I am an excellent candidate for a relevant position.