Pradnya Morale
@pradnyamorale
AI & IoT engineer specializing in edge computer vision, sensor fusion, and low-latency robotic systems.
IndiaWhat I'm looking for
I’m an AI & IoT engineer focused on edge computing, computer vision, and hardware-software integration. I’ve deployed custom YOLOv8 models on constrained devices, reaching 95% inference accuracy and cutting processing latency by 20% for real-world robotic workflows.
I build intelligent systems that stream real-time telemetry, fuse multi-modal sensor data, and scale reliably—using ROS, WebSockets, and modular API microservices. From digital twins for predictive maintenance in MATLAB Simulink to ROS navigation/SLAM, pick-and-place vision automation, and drone IoT forecasting, I’m driven by R&D that turns sensor data into dependable autonomy.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer & IoT Dev
PHN Technology
Jun 2025 - Jan 2026 (7 months)
Engineered and deployed custom YOLOv8 computer vision models on edge devices, achieving 95% inference accuracy while reducing processing latency by 20%. Built a real-time IoT telemetry dashboard using WebSockets and developed sensor-fusion algorithms for gesture recognition and autonomous navigation logic.
IoT Solutions & Embedded Intern
Onward Technologies Limited
Jan 2025 - May 2025 (4 months)
Designed edge-processing nodes to filter and aggregate raw sensor data locally, reducing bandwidth usage for cloud transmission. Created MATLAB Simulink digital twins for predictive maintenance, implemented UART/SPI/I2C communication stacks, and built web-based tools to visualize time-series telemetry for firmware debugging.
Education
Degrees, certifications, and relevant coursework
MIT ADT University, Pune
Bachelor of Technology, Computer Science Engineering (AI & Edge Computing)
Grade: 7.0 CGPA
Pursued a B.Tech in Computer Science Engineering with a focus on AI and Edge Computing. Graduated with a 7.0 CGPA.
Cusrow Wadia Institute of Technology, Pune
Diploma, Mechanical Engineering
Grade: 86%
Completed a Diploma in Mechanical Engineering. Achieved 86%.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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