Shivam Shinde
@shivamshinde
I've built and deployed machine learning models for crop recommendation, fraud detection, and spam classification.
What I'm looking for
I've built machine learning projects including Harvestofy, a crop recommendation system using Random Forest and a deep neural network across 22 crop classes, deployed as a Flask web app with real-time top-three predictions. I also developed spam detection and credit card fraud detection models, evaluating performance with metrics including accuracy, F1-score, ROC-AUC, and AUPRC.
During my AWS internship at Internship Studio, I deployed ROS Noetic and a Node.js image gallery on EC2, integrated Amazon S3, and configured IAM roles, VPCs, and networking. I'm an M.Tech graduate in Artificial Intelligence and Data Science seeking an entry-level role where I can build and deploy real-world AI models.
Experience
Work history, roles, and key accomplishments
AWS Intern
Internship Studio
Jun 2024 - Sep 2024 (3 months)
Deployed ROS Noetic on AWS EC2 for cloud-based robotics simulations and built a Node.js web application integrated with S3 for image storage. Configured IAM roles, VPCs, and networking to optimize costs.
Java Full Stack Web Development Intern
Learn And Build
May 2022 - Jun 2022 (1 month)
Contributed across the development lifecycle from design through implementation and testing. Wrote efficient, well-documented code to deliver project features within deadlines.
Education
Degrees, certifications, and relevant coursework
K.J. Somaiya College of Engineering
Master of Technology, Artificial Intelligence and Data Science
Grade: 7.65
Pursuing a Master of Technology in Artificial Intelligence and Data Science with a GPA of 7.65.
D.Y. Patil University
Bachelor of Engineering, Instrumentation Engineering
Grade: 6.90
Completed a Bachelor of Engineering in Instrumentation Engineering with a GPA of 6.90.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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