Manasi Purohit is a Senior Software Engineer with five years of experience building and optimizing computer vision and deep learning solutions for mobile and embedded platforms. She brings hands-on expertise in designing CNN layers, object detection and segmentation pipelines, and memory‑efficient implementations across RISC, SIMD and DSP architectures—including assembly-level optimizations for constrained devices. Currently at Qualcomm after internships and research roles at Carnegie Mellon, she blends academic rigor in ECE with practical production experience delivering inference-ready models and low-level performance tuning. A natural bridge between ML research and embedded systems, she’s equally comfortable prototyping novel vision algorithms and squeezing maximum throughput from hardware.
5 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Passed with Distinction, Bachelor’s Degree, Electrical and Electronics Engineering, Passed with Distinction at Vidyalankar Institute of Technology, Mumbai
Certificate Course at CCE Proficience, Image Processing and Computer Vision, Certificate Course at CCE Proficience, Image Processing and Computer Vision at Indian Institute of Science (IISc)
Certification course, Embedded Systems, Certification course, Embedded Systems at Vector Institute
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials
Contributions:85 commits in 5 months
deep-learningcmu-11785
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