Resume

As a second-year Ph.D. student, I am currently funded by PNRR, specializing in Data Science within the Mathematical and Computer Sciences field at Sapienza University of Rome's Department of Computer, Automatic, and Management Engineering 'Antonio Ruberti', under the mentorship of Professor Fabrizio Silvestri. My research focuses on various aspects of Deep Learning and Artificial Intelligence, particularly emphasizing optimization and robustness across diverse deep-learning methodologies. Specifically, I delve into the impact of noisy training data on deep learning models' learning, scrutinizing loss functions and innovating robust alternatives tailored to this challenge. Moreover, my research extends into Graph Neural Networks and Computer Vision, driven by a keen interest in integrating AI, machine learning, and robotics techniques within the realm of Computer Vision. Within this domain, I am particularly intrigued by how deep-learning models assimilate knowledge. I have more than four years of industrial experience in the field of Data Science and Machine learning. I primarily built, deployed, and scaled complex models with diverse architectures. Furthermore, worked in the disciplines of Deep Learning, Artificial Intelligence, Data Engineering, Data Visualization, and Software Development. The rate at which the data is being leveraged by the current modern data services to revolutionize life, inspires me to work further in this field. I have a master's degree in Artificial Intelligence and Robotics from the La Sapienza University of Rome, Italy, and a bachelor's degree in Information and Technology from the National Institute of Technology, Srinagar, India.

Education

Masters in Artificial Intelligence and Robotics from Sapienza Università di Roma completed between 2020/21 and 2022/23 with a CGPA of 9.5 out of 10.  The university is located in Rome, Italy. The website for the university is https://www.uniroma1.it. 

The curriculum covered a variety of subjects related to Artificial Intelligence, Deep Learning and Robotics:

• Deep Learning

• Artificial Intelligence

• Machine Learning

• Neuro Engineering

• Neural Networks

• Planning and Reasoning

• Natural language Processing

• Human-Computer Interaction

• Reinforcement Learning

• Robotics

• Vision and Perception

• Autonomous Mobile Robots

Additionally, I hold a Bachelor of Information and Technology, with a CGPA of 8 out of 10, from the National Institute of Technology (NIT) located in India. The website for the institute is https://nitsri.ac.in/

Work Experiences

Data Scientist: worked at General Electric (GE) for a duration of 4 years and 3 months, from June 11, 2016 to October 22, 2020. 

Based in Bangalore, India. 

Overview of the key projects and responsibilities:

• Defect Detection: Utilized Enhanced Super-resolution Gans and various deep-learning techniques for the identification of defects in shrouds. Deployed this application using a simple Model-View-Controller architecture.

• Pricing Analytics: Applied Gradient boosting trees to predict customer payment behavior.

• My Fleet: Developed and deployed an analytical service to present the relative performance of Turbines. The application was built using the Spring Framework and Model-View-Controller architecture.

• Wilmington: Utilized time series analysis to predict peak power consumption at the Wilmington site. The user interface was developed using Predix APIs.

• HR-Analytics: Employed Natural Language Processing to validate resumes for specific roles using the Transformer architecture. Created a simple REST API using Flask to return values.

• Apriori Algorithms: Utilized Apriori algorithms to address customer concerns and queries, and trigger the appropriate department. Triggers and event handlers were employed.

• Service Agreement: Leveraged Tableau-generated visualizations to extract insights from data and provide relevant solutions.

• Utilized JPA repositories, worked with Microsoft SQL, Oracle, and Postgres, and used EasyMock and Mockito for testing.

Software Engineer (intern, Mandatory for Bachelors Degree):  Worked at HCL Technologies for 4 months, from November 6, 2014, to February 28, 2015. 

Based in Delhi, India. 

Overview of the key projects and responsibilities:

• Developed a demand management tool using microservice architecture.

• Worked extensively with Maven and Spring Boot, along with Java, to create REST APIs.

• Worked with code coverage tools.

Publications

1.  Learning with Noisy Labels through Learnable Weighting and Centroid Similarity Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri (IJCNN2024)