Robotics • Deep Learning • Embedded Systems • Hardware × AI
MS ECE (Machine Learning) @ USC • Former Senior Electronics Engineer @ Orxa • AI Intern @ Qualcomm
I'm Badri a passionate robotics engineer working at the intersection of ML, autonomy, and embedded systems.
I'm currently pursuing my MS in Electrical & Computer Engineering (Machine Learning) at the University of Southern California.
I care deeply about building intelligent robotic systems that are safe, reliable, predictable, and deployable - from hardware bring-up & firmware to perception, control, and learning-based decision-making.
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⚙️ Previously built & delivered electric motorcycles and 6-wheel autonomous UGV platforms (electronics, braking control, firmware, PCB design).
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⚡ Deep fascination towards robot learning, autonomy stacks, and edge ML
- 🧠 NeuroAI & Brain–Machine Learning
Contrastive alignment of intracranial EEG with audiovisual stimulus embeddings using transformer encoders + Kalman-inspired priors (EE 675 @ USC).
- 🤖 Robot Learning & Control
RL + BC pipelines for autonomous driving, closed-loop control, and multimodal policy learning (CSCI 699 @ USC).
- 📡 Wi-Fi Power & Traffic ML
ML models for burst qualification & prediction to guide intelligent DTIM sleep transitions for power savings (Qualcomm Internship).
- ⚡ EVs & Autonomous UGVs
Former Senior EE for 6-wheel autonomous UGV platforms & performance electric motorcycles. Developed braking controls firmware, EE subsystems, vehicle wiring, sensor integration, and PCB designs.
- Robot Learning – RL, BC, policy optimization, multimodal models
- NeuroAI – brain encoding models, cross-modal alignment, sequence modeling
- Autonomy Systems – perception, planning, controls, learning, system reliability
- Edge ML – lightweight models, optimization for hardware-aware inference
- Embedded Robotics – real-time systems, firmware, low-level integration
Languages & ML
- Python • C/C++ • MATLAB
- PyTorch • TensorFlow • NumPy • SciPy • scikit-learn
Robotics & Systems
- ROS / ROS2 • Linux • Git
- Control Systems • Kalman Filtering • Optimization
- Isaac Gym / Simulation tooling
Embedded / Hardware
- MCU Firmware (STM32 / ARM)
- PCB Design (KiCad / Altium)
- CAN, SPI, I2C, UART, Sensors, Power Electronics, IMUs, Motor Controllers
Data & Infra
- SQL • Pandas • Jupyter
- Cloud & REST APIs • Docker • Kubernetes