M.S. — Electrical & Computer Engineering
2024 – 2026University of Alabama at Birmingham (UAB)
Omprakash Indla
Electrical Engineer · Embedded Firmware · Edge AI
Summary
Graduate Electrical & Computer Engineer specializing in power & control systems, embedded firmware, and edge AI. Experienced in PID control tuning, sensor validation, firmware testing, and deploying machine-learning models on resource-constrained hardware.
Education
B.E. — Electronics & Telecommunication
2019 – 2023Symbiosis Institute of Technology
Experience
Robotics & Controls Engineering Simulation
Apr 2026Johnson & Johnson MedTech
- Tuned PID control parameters for robotic platforms, achieving a 30% reduction in positioning error.
- Built Python simulation models to validate control-loop response under varied load conditions.
- Analyzed actuator dynamics and feedback stability for real-time performance.
Hardware Engineer
Jul 2023 – May 2024Marriott International
- Validated sensor networks, improving HVAC uptime by 10%.
- Performed Building Automation System (BAS) log analysis to detect anomalies.
- Delivered 15% energy savings through data-driven tuning.
Software Engineer Intern
Jan – Jun 2023GTT Communications
- Built Python automation scripts for network diagnostics.
- Developed latency-detection tooling to surface link degradation.
- Executed firmware regression testing to ensure release stability.
Projects
EdgeSense — Predictive Maintenance Platform
- Edge-AI platform running TensorFlow Lite on-device; improved fault detection by 18%.
FirmwareGPT — AI Debugging Co-pilot
- AI assistant that parses GDB sessions and firmware context; cut debug time by 40%.
Technical Skills
Power & Control: PID Control, Power Electronics, Control Theory, MATLAB, Simulink, LTspice
Hardware & Signals: Sensor Validation, Signal Processing, PCB & Schematics, Oscilloscope, I2C/SPI
Embedded: Embedded C/C++, FreeRTOS, STM32, ESP32, GDB, MQTT
Edge AI & ML: TensorFlow Lite, Python, Predictive Maintenance, Jetson, OpenAI API