Master's student & Software Engineer. Specializing in backend development, AI/ML, and DevOps. Ready for internship from September 2026.
Working to solve problems through practical, outcome-driven development approaches.
Breaks down complex issues logically and delivers scalable, smart solutions with critical thinking.
Passionate about exploring Backend concepts, AI, DevOps, and modern cloud technologies to stay ahead in tech.
Adapts quickly to new tools, frameworks, and workflows in dynamic development environments.
Hello! I'm Krishal Modi, a Software Engineer pursuing my Master's in Applied Computing from University of Windsor with a Bachelor of Technology in Computer Engineering from Silver Oak University. As a Software Engineer, I design and architect robust solutions rather than just develop features, focusing on scalable and efficient system design.
I am passionate about learning new backend concepts and staying updated with evolving technologies. I continually expand my skill set by mastering new frameworks, design patterns, and backend architectures. I take pride in building reliable, scalable applications with clean, efficient, and maintainable code that stands the test of time.
I have strong capabilities in Data Science, Machine Learning, and Artificial Intelligence. My projects demonstrate expertise in predictive modeling, data analysis with pandas and scikit-learn, data visualization with matplotlib and seaborn, and implementing intelligent algorithms that solve real-world problems. I'm proficient with deep learning frameworks like TensorFlow and PyTorch, and experienced in Natural Language Processing (NLP) applications. I enjoy exploring data-driven solutions and building AI-powered applications that leverage cutting-edge ML techniques.
I'm also well-versed in DevOps and cloud technologies, particularly AWS. I have knowledge of cloud deployment, hosting infrastructure, and modern DevOps practices that enable seamless application delivery. I'm enthusiastic about learning AWS services, containerization, CI/CD pipelines, and cloud architecture to bridge development and operations effectively.
I’m committed to continuous learning and staying at the forefront of technology. Whether it’s mastering new backend frameworks, exploring advanced ML techniques, or diving deeper into cloud architecture, I embrace every opportunity to grow. I believe in writing clean, maintainable code and building solutions that create real impact.
University of Windsor
Available for internship starting September 2026
Silver Oak University
Gujarat Higher Secondary Education Board
Gujarat Secondary Education Board
LinkedIn Learning
ZTM (Zero To Mastery)
AWS Academy
Udemy
Start Tech Academy
Nathan House
Nathan House
Udemy
Project selected for Demo Day - Code Competition Event at University of Windsor.
December 2025Participant in NASA's International Space Challenge for solving galactic problems through innovative solutions.
October 2025Secured 3rd place at the Project Fair hosted by Silver Oak University.
April 2024Participant in hackthon organized by Devfolio
September 2022
AI-powered adaptive quiz platform using Flask and MongoDB with NLP/ML models for intelligent question generation, knowledge graphs, and personalized learning recommendations.
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Hospital management REST API with doctor booking by specialization, inventory tracking with stock limits, and billing system.
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AI-powered CCTV surveillance system for real-time threat detection using openCV. Collaborative project with full-stack and AI developers.
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Secure REST API for account management, transactions, fund transfers, balance checking, and loan calculation with token expiry.
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Web app for ATS score checking and extracting contact info from resumes with email notifications and smooth user interface.
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ML project using various algorithms to predict heart disease likelihood from medical datasets with pattern analysis for early diagnosis.
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Microblogging REST API with authentication where users can post, like, comment, reply, and delete blogs with social media-style feed.
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Web app for marking attendance and downloading records in CSV or PDF format with student list management.
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IoT project using Arduino Uno with HC-SR04 ultrasonic sensor and servo motor for 360° scanning. Real-time radar visualization via Processing for obstacle detection and proximity mapping.
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Custom shell written in C with Unix-like features including pipelines, background processes, I/O redirection, and low-level process control using fork/exec without system().
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