Medha Bhatt
@medhabhatt
Electronics & Communication engineer focused on embedded systems, robotics, and machine learning applications.
What I'm looking for
I am an Electronics & Communication engineering graduate with hands-on experience in embedded systems, robotics, IoT and applied machine learning. I graduated with distinction (CGPA 8.18/10) and have delivered academic and research projects from concept through implementation.
At Amazon (GO-AI team) I trained video-based ML models to make operational predictions and optimize SOP-driven workflows, and I completed a web development and e-commerce inventory internship at AVRN Labs collaborating across disciplines.
My projects include a cleaning robot with obstacle avoidance, gesture-control and prosthetic-arm systems using EMG processing, and a stress meter using Arduino circuitry; two of these works were published in peer-reviewed journals and conference proceedings.
I contribute actively to robotics and technical communities (E-Yantra, IEEE RAS, IETE), organize events, and volunteer at hackathons; I seek roles where I can apply embedded design, signal processing and ML to build reliable, impactful systems.
Experience
Work history, roles, and key accomplishments
Train video-based machine learning models to enable autonomous prediction of SOP compliance and optimize operational workflows for the GO-AI team.
Technical Intern
AVRN Labs
Feb 2024 - Apr 2024 (2 months)
Worked on web development and e-commerce inventory management, creating inventory content and collaborating with a multidisciplinary team to deliver product features.
Education
Degrees, certifications, and relevant coursework
MIT ADT University - School of Engineering
Bachelor of Technology, Electronics & Communication Engineering
2020 - 2024
Grade: CGPA: 8.18/10
Activities and societies: Projects in robotics and prosthetics, member and leader in E-Yantra Club, IEEE student branch volunteer, branch organizer for university fest.
Secured a Bachelor of Technology in Electronics & Communication Engineering with Distinction (CGPA: 8.18/10) after completing coursework and projects in embedded systems, IoT, and robotics.
S.R.S Gnyan Dham Higher Secondary School
Higher Secondary Certificate, Higher Secondary (CBSE)
Grade: 77.4%
Completed Higher Secondary Certificate Examination (CBSE) securing 77.4% with focus on core science subjects.
S.R.S Gnyan Dham School
Secondary School Certificate, Secondary (CBSE)
Grade: 88.2%
Completed Secondary Certificate Examination (CBSE) securing distinction with 88.2%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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