Naved Siddiqui

Studied at University at Buffalo, the State
Living in United States

About

Completed MS in Computer Science with major in Artificial Intelligence.
Full stack developer with 4+ years of experience in C# .NET Technologies. Worked on web as well as desktop applications. Skilled in C#, Java, Python, SQL, Entity Framework and LLBLGen.

Experience
Position: System Engineer
Company Name - Infosys
Dates Employed - Jul 2013 – Aug 2015
Employment Duration: 2 yrs 2 mos
Location: Pune Area, India
• Worked on a web-based healthcare application meant for enrollment of healthcare/insurance providers and onboarding patients.
• Employed the SSIS package in order to keep local and master databases in sync.
• Was given the ownership (offshore) of keeping the configuration consistent as per a particular state (controls, content, validations, etc.).

Position: Senior Developer
Company Name: Pi Techniques Pvt. Ltd.
Dates Employed: May 2016 – Mar 2018
Employment Duration: 1 yr 11 mos
Location: Churchgate, Mumbai
• Maintained and built upon a desktop (Windows) application for a Glasgow-based ship-management firm that allowed monitoring of crews, equipment and its vitals among various other things.
• Went onsite (Glasgow) for a month to gather information for a particular module of the application before starting the development.
• Reviewed the quality of the code, so as to improve the base skeleton of the ever-evolving project for better performance and code readability. Encouraged better practices to reduce redundancy.
• Contributed to the entire stack of the application, along with its testing.
• Led the development of 2 modules – did R&D for tasks, provided inputs to team and ensured timely completion of tasks.

Position: Team Lead
Company Name: Train IT
Dates Employed: Apr 2018 – Jul 2018
Employment Duration: 4 mos
Location: Mumbai Area, India
• Led a team in developing an e-Seal management application that enforced role-based authorization and views.
• Took to completion an online education application wherein ASP.NET (MVC pattern) was employed.
• Engaged in the entire software development cycle, following the Agile methodology (JIRA for project management).
• Mentored the development team, conducted code reviews and team learning sessions.
Projects
Semantic Segmentation of Medical Images:
Added self attention layer in a GAN model using ResNet architecture with generator also using U-net architecture with skip connections.
The model produced F1 score of 0.9761 on mouse kidney images.

Similar Handwriting Analysis:
• Created a hybrid model of Deep Learning and Probabilistic Graphical Model to predict if pair of handwritten “and” images are from same writer.
• Built an Auto-Encoder to learn the latent representation of image, a neural network for each handwritten feature and Bayesian Network for inference.
• Implemented Explainable AI (XAI) using the Conditional Probability Distribution of the Bayesian Network from the Siamese Network design.