PRABUDH GAUTAM
@prabudhgautam
AI/ML engineer specializing in computer vision, pose estimation, and efficient edge model deployment.
What I'm looking for
I am an enthusiastic AI/ML engineer with hands-on experience in computer vision, pose estimation, and deep learning applications.
I designed and deployed FITORBIS, an AI-powered fitness alarm achieving 95% exercise detection accuracy on a 500-video dataset, and optimized it for Raspberry Pi execution without GPU. I completed an AI/ML internship where I worked on model evaluation, optimization, LLMs, and contributed to a conference paper on real-world AI applications.
I focus on model optimization, applied research, and delivering production-ready intelligent systems through collaboration, robust testing, and pragmatic engineering.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Zippi.ai
Jul 2024 - Sep 2024 (2 months)
Developed and deployed FITORBIS, a real-time exercise recognition system combining pose estimation and ML, achieving 95% accuracy on a 500-video dataset; optimized models and Python code for Raspberry Pi GPU-free deployment to improve inference speed.
President
NMIH GCET Club
Jan 2022 - Jan 2024 (2 years)
Founded the club under NEP 2020 and organized technical events, competitions, and educational trips (including NSIC and DEFCON Delhi 2024); managed multi-event campaigns with 200+ participants and led volunteer teams.
Education
Degrees, certifications, and relevant coursework
Galgotia's College of Engineering and Technology
Bachelor of Technology, Electronics and Communication Engineering
2021 - 2025
Activities and societies: President – NMIH GCET Club (2022–2024); organized technical events, competitions, and educational trips to NSIC and DEFCON Delhi 2024; managed multi-event campaigns with 200+ participants.
B.Tech in Electronics and Communication Engineering (2021–2025) with a final-year project FITORBIS — an AI-powered fitness alarm system achieving 95% exercise detection accuracy using MediaPipe and deployed on Raspberry Pi.
Availability
Location
Authorized to work in
Job categories
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