Power & Control
Feedback loops, stability, energy systems
MATLABSimulinkLTspice
> initializing_systems
Omprakash Indla
Building intelligent systems at the intersection of hardware and AI.
// 01 — about
Engineer by training, builder by instinct
I'm a graduate Electrical & Computer Engineer at the University of Alabama at Birmingham, working where precision hardware meets intelligent software. My world spans power & control systems, embedded firmware, and edge AI — from tuning PID controllers to deploying neural networks on microcontrollers.
I've reduced positioning error on robotic platforms, improved HVAC uptime across hotel infrastructure, and built tooling that cuts firmware debugging time dramatically. I care about systems that are robust, measurable, and elegant — the kind that hold up under real-world signal noise.
Right now I'm seeking full-time roles where I can ship firmware, design control loops, and bring machine intelligence to the edge.
0Degrees
0Years Experience
0Projects
0Publications / Certs
// 02 — skills
Technical Expertise
Hardware & Signals
PCB, sensors, signal integrity
OscilloscopeDSPI2C/SPI
Embedded Systems
Firmware, RTOS, low-level C
STM32ESP32GDBMQTT
Edge AI & ML
On-device inference, model optimization
TFLiteJetsonOpenAI API
// 03 — experience
Where I've Worked
Robotics & Controls Engineering Simulation
Apr 2026Johnson & Johnson MedTech
- Tuned PID control parameters for robotic surgical platforms, achieving a 30% reduction in positioning error.
- Developed Python-based simulation models to validate control-loop response under varied load conditions.
- Analyzed actuator dynamics and feedback stability to harden real-time performance.
PythonPIDControl SystemsSimulation
Hardware Engineer
Jul 2023 – May 2024Marriott International
- Validated sensor networks across building systems, improving HVAC uptime by 10%.
- Performed Building Automation System (BAS) log analysis to detect anomalies and optimize schedules.
- Implemented data-driven tuning that delivered 15% energy savings across facilities.
SensorsBASHVACData Analysis
Software Engineer Intern
Jan – Jun 2023GTT Communications
- Built Python automation scripts that streamlined repetitive network diagnostics.
- Developed latency-detection tooling to surface degradation across network links.
- Executed firmware regression testing to ensure release stability.
PythonAutomationFirmware TestingNetworking
// 04 — projects
Selected Work
★ Featured
P-01
EdgeSense
An edge-AI predictive maintenance platform that runs TensorFlow Lite inference on-device to flag equipment failures before they happen — improving fault detection by 18%.
Raspberry Pi 4Jetson NanoTensorFlow LiteMQTTESP32
★ Featured
P-02
FirmwareGPT
An AI debugging co-pilot for embedded engineers — parses GDB sessions and firmware context to suggest fixes, cutting debug time by 40%.
ESP32STM32FreeRTOSGDBOpenAI API
P-03
PID AutoTuner
Python toolkit that auto-tunes control loops from step-response data.
PythonControl
P-04
BAS Insight
Analytics dashboard surfacing energy anomalies from building automation logs.
DataIoT
P-05
SignalScope
A lightweight embedded oscilloscope front-end streaming live ADC data over MQTT to a browser-based waveform viewer.
STM32DSPMQTTWebSocket
// 05 — contact
Let's Build Something
Open to full-time roles, internships, and collaborations in embedded systems, power electronics, and edge AI.