Aakash Khatri

- Research work and development of novel Algorithms in Dynamic Fuzzing related to deep learning. - Developed data-processing pipeline and Python framework to integrate, test and analyze new Algorithms. - Successful integration of parallel programming and GPU, resulting in a 7x increase in performance. - High level usage of polyglot programming specializing in Python, Kotlin, Java, and C++. - Advanced exposure to Python specializing in libraries like TensorFlow, Keras, Sci-kit learn, NumPy, JSON, and XML.

Development and Maintenance of Static Analysis Framework in C++

- Research and development of Object Detection (CNNs), Object Tracking algorithms for autonomous Wind turbine maintenance and Intrusion detection with drones. - Development of real-time Surveillance system in C++ using parallel programming and GPUs resulting in 30 fps stream output. - Implemented data processing pipelines, to detect anomalies for Intrusion detection with data from drone cameras. - Proficient in image processing OpenCV, DNN modeling using TensorFlow, and ML implementation using Scikit-learn

- Developed and integrated back-end solutions with Salesforce, utilizing Apex programming language. - Collaborated with cross-functional teams to understand requirements and deliver scalable software solutions. - Utilized JIRA for issue management, Confluence for documentation, and Bitbucket for version control.

- Data Science Suite: implemented de-duplication techniques for web-crawling data in Java. - TH E SI S : Development of a Reinforcement Learning Interface for Partial Differential Equation Solvers using Python and OpenAI Gym.