Open to opportunities

Rachna Umesh

@rachnaumesh

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Aspiring deep learning engineer with expertise in computer vision.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can apply my deep learning expertise to impactful projects.

I am a dedicated and innovative deep learning engineer with a strong foundation in electrical and computer engineering. My academic journey at Cornell Tech and PES University has equipped me with the skills to tackle complex challenges in machine learning and computer vision. I have a proven track record of developing and deploying real-time systems that enhance operational efficiency and drive predictive analytics.

At RadiusAI, I spearheaded the development of a computer vision pipeline that significantly reduced food wastage across over 1,000 stores. My experience extends to building AI-driven platforms for sports analytics and pose correction, demonstrating my ability to leverage deep learning for practical applications. I am passionate about advancing AI technologies and am currently researching sustainable AI solutions for edge devices.

Experience

Work history, roles, and key accomplishments

Deep Learning Engineer

RadiusAI

Nov 2022 - Present (2 years 9 months)

Developed and deployed a real-time Computer Vision pipeline for food inventory management, reducing wastage and scaling predictive analytics to 1,000+ stores. Developed and deployed a person attribute classification model using PyTorch and temporal re-identification, scaling to 1,000+ locations.

Computer Vision PyTorch Machine Learning Deep Learning Predictive Analytics Real Time Systems

Founding Member & Developer

ARTPARK, Indian Institute of Science

Oct 2021 - Present (3 years 10 months)

Developed a real-time Computer Vision platform for cricket shot analysis using Deep Learning and mobile video data, providing actionable feedback for player improvement. Built a browser-based AI-guided pose correction platform using JavaScript, Django, and Blazepose, delivering real-time feedback for pose accuracy during exercises.

Computer Vision Deep Learning JavaScript Django Blazepose Real Time Systems AI Guided Platforms

Education

Degrees, certifications, and relevant coursework

Cornell Tech (Cornell University)

Master of Engineering, Electrical and Computer Engineering

2023 - 2025

Pursued a Master of Engineering in Electrical and Computer Engineering. Focused on advanced topics in machine learning, AI inference optimization, and real-time ML deployment.

PES University

Bachelor of Science, Electrical and Computer Engineering

2018 - 2022

Grade: Distinction Award

Completed a Bachelor of Science in Electrical and Computer Engineering with a minor in Computer Science and Engineering. Recognized with the MRD Scholarship and Distinction Award for academic excellence.