Shivaye Modi

I'm

About

Detail oriented software developer with more than 2 years of experience in web/desktop/mobile application development. Well-versed in agile methodologies and Scrum practices. I have a strong background in physics and a drive to leverage my analytical and problem-solving skills to create impactful software solutions.

Interests

Software Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

MS in Computer Science

Janurary 2021 - Present

Relevant Coursework

Distributed Database Systems
Cloud Computing
Foundation Of Algorithms

B.Tech. in Information and Communication Technology

July 2014 - May 2018

Relevant Coursework

Database Management Systems
Algorithms & Optimization for Big Data
Machine Learning

Online Certification

Machine Learning

Algorithms-Design and Analysis

Algorithmic Toolbox

Deep Learning with Tensorflow

Machine Learning with Python

Neural Networks and Deep Learning

Experience

AMC Bridge Inc.

October 2024 - Present

Software Development Engineer

Implemented functionalities for various CAD plugins on Revit software
Developed tools for automating CAD workflows in cloud
Tech Stack: C#, WPF, .NET, Revit, CAD/CAM, Autodesk Platform Services

Prototech Solutions Pvt. Ltd.

June 2022 - Sep 2024

Software Developer

Developed .NET/WPF desktop app with intuitive UI and CAD tools to automate subdivision surveying, reducing plot calculation time by 80%.
Built traverse and substructure algorithms to auto-calculate primary structures, detect misses, and handle traverse edit/insert/delete operations to ensure accurate plot boundaries.
Optimized performance of peg length updates, reducing process time from 10 seconds to less than 1 second for critical extend pegs to boundary feature.
Tech Stack (desktop app): C#, WPF, .NET framework, Prism library,ASP.NET Core MVC, Entity framework Core, Eyeshot- 3D, Azure, MS SQL Server.
Enhanced media references capability in an iOS app based on augmented reality(AR), enabling linking of base64 encoded images, videos, and PDFs to 3D model parts.
Developed a custom video player and PDF viewer for the iOS app.
Tech Stack(iOS AR app): Objective-C, Swift, Alamoﬁre,CoreAnimation, CoreGraphics, CoreLocation, UIKit, ARKit,SceneKit.
Provided Client Support by presenting data, information, ticket resolution and documentation of the implemented features
Actively contributed to code reviews, enhancing overall code quality and team collaboration
Applied Agile methodologies and SDLC practices to streamline development processes and improve project outcomes