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Naved Siddiqui
  • Studied at University at Buffalo, the State
  • Living in United States
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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.
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Naved Siddiqui created a new article
6 months ago - Translate

CapsuleGAN for Face Generation | #deep Learning #gan #capsule Network

CapsuleGAN for Face Generation

CapsuleGAN for Face Generation

Using a Capsule Network as the discriminator network in a GAN model. This model is then trained on FHHQ dataset to generate face images.
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