Parsa Farinneya
Machine Learning Research Engineer @Huawei Canada
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WORK HISTORY
Machine Learning Research Engineer @Huawei Canada
Markham, ON, CA
Spearheaded research on transformer model efficiency, implementing speculative decoding on Huawei’s 40B-parameter Pangu LLM, achieving significant inference speed-ups. • Integrated advanced fused CUDA/Triton kernels into LLM training pipelines, resulting in approximately 30% training speed-up. • Developed innovative depth-based dynamic training techniques, reducing latency by up to 30% with minimal performance degradation on real-world benchmarks.
EDUCATION
Amirkabir University of Technology - Tehran Polytechnic
Bachelor's degree
University of Toronto
Master of Applied science
Sharif University of Technology
Bachelor's degree
ABOUT PARSA FARINNEYA
With a Master\'s of Applied Science in Artificial Intelligence from the University of Toronto and a robust background in computer software engineering from Amirkabir University of Technology, my recent role as an AI Engineer at Eatology allowed me to leverage natural language processing (NLP) to innovate in the culinary tech space. My competencies include developing advanced recommender systems and contributing to research and education in AI, evidenced by my ongoing work as a Research and Teaching Assistant at the University of Toronto. At Eatology, our team implemented a cutting-edge restaurant recommender system that harnessed user reviews to enhance the dining experience. This project not only honed my technical skills but also underscored the importance of teamwork and the shared goal of pushing the envelope in AI applications. With a passion for both advancing AI and imparting knowledge, I bring a unique perspective to any team, eager to collaborate, innovate, and inspire in the ever-evolving landscape of technology.
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