Madhu Bashini
@madhubashini
I build VLSI, embedded, and reinforcement-learning systems for real-world challenges.
IndiaWhat I'm looking for
I've built ASIC, embedded, and reinforcement-learning systems, including SPADE-X, a structural health-monitoring chip that localizes damage and classifies severity with 98.0% accuracy.
For the Meta PyTorch OpenEnv Hackathon, I built two RL environments: CollapseNet v3 for Fleet AI oversight and a customer-support ticket-triage environment deployed on HuggingFace Spaces.
I'm pursuing Electronics and Communication Engineering and have strengthened my practical embedded-systems experience through training at Retech Solutions and an internship at Innov Edge Technology.
Experience
Work history, roles, and key accomplishments
Inplant Training
Retech Solutions
Dec 2025 - Jan 2026 (1 month)
Acquired knowledge in embedded systems, microcontroller programming, and Arduino-based sensor interfacing. Performed debugging via serial communication tools and developed real-time data monitoring applications.
Internship
Innov Edge Technology
Jan 2025 - Feb 2025 (1 month)
Developed microcontroller-based systems with external peripheral interfacing and embedded C programming. Performed hardware debugging, serial validation, and documented results in industry-style reports.
Education
Degrees, certifications, and relevant coursework
Saveetha Engineering College
Bachelor of Engineering, Electronics and Communication Engineering
2023 -
Grade: 8.36 CGPA (till 6th Sem)
Pursuing a Bachelor of Engineering in Electronics and Communication Engineering, with a CGPA of 8.36 up to the 6th semester.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Skills
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