I am a Software Engineer with a strong foundation in AI models and architectures, I combine deep learning with traditional robotics to help robots see, move and think! Additionally, I have experience in backend development - API design & microservices, and cloud, enabling me to build scalable, data-driven robotic systems.

• Automated an experimental system using ESP32 and PID control, boosting precision by 15% in dynamic processes.
• Used control algorithms for robotic chemical handling, including sensors, and actuators, to optimize performance.
• Applied genetic algorithms on vector datasets to optimize drug lead identification and enhance the compound's solubility.

• Engineered prototypes for Asia-Pacific robotics competitions (ROBOCON), solving complex tasks with Python and C++.
• Integrated deep learning algorithms with OpenCV for object detection and coded various mechanisms on Arduino.
• Refined control algorithms for 3 and 4-wheeled holonomic locomotion improving navigation with ROS and Gazebo.

• CNN-based document system using VGG16 and InceptionResNetV2, achieving 85% accuracy across 16 document sets.
• Utilized TensorFlow and Keras to make models with parallel stacking and hyperparameter tuning to boost accuracy.

• Email: adsane@syr.edu
• LinkedIn: Adishree Sane
• Website: adi095.github.io
• Location: Syracuse, NY

• IEEE - 'Animal Healthcare and Farm Animal Disease Prediction' with CNN for skin disease prediction.
• Springer – ‘ATM Security System Using Gesture and Hand Vein Recognition’ using CNN and Raspberry Pi.

Currently seeking full-time opportunities in Robotics and Artificial Intelligence, with a focus on:

• Robotic Software Engineer/Developer
• Computer Vision / Perception Engineer
• Artificial Intelligence/ Machine Learning engineer