Sairaj Rokamwar

AI/ML Engineer

Nanded, IN.

About

Highly motivated AI/ML Engineer with a strong academic foundation and practical experience in Machine Learning and Deep Learning. Proven ability to deliver data-driven solutions, demonstrated by optimizing skin disease detection models by 20% on a 27,000+ image dataset and engineering a Federated Learning model with 89% accuracy for heart disease prediction. Seeking to leverage advanced technical skills to drive innovative AI-driven projects and solve complex real-world challenges.

Work

NovaLinks

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AI/ML Intern

Nanded, Maharashtra, India

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Summary

Led the optimization of deep learning models and implemented advanced data augmentation techniques to enhance model performance and generalization for medical image analysis.

Highlights

Optimized deep learning models for skin disease detection, increasing accuracy by 20% on a dataset of 27,000+ images.

Implemented advanced data augmentation techniques, enhancing model generalization and bolstering accuracy for diverse training scenarios.

Integrated sophisticated data augmentation methods, expanding dataset samples and facilitating richer training scenarios to improve model robustness.

Education

Vellore Institute of Technology

Vellore, Tamil Nadu, India
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M.Tech Artificial Intelligence & Machine Learning Grade: 8.13 CGPA

Parul Institute of Engineering and Technology

Vadodara, Gujarat, India
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B.Tech Computer Science and Engineering Grade: 7.33 CGPA

Publications

INTERNATIONAL SCIENTIFIC INTERNET CONFERENCE ACTUAL PROBLEM OF PHYSIOLOGY AND REHABILITATION

Conference Proceedings

Authored and presented research at an international scientific internet conference, focusing on contemporary challenges and advancements in physiology and rehabilitation.

Languages

English

Certificates

Introduction to Deep Learning with Keras

Skillup

Machine Learning using Python

Skillup

Skills

Soft Skills

Team Collaboration, Strategic Thinking, Problem-Solving, Data-Driven Problem-Solving.

Programming Languages

Python, Embedded C, SQL.

MI/DL Frameworks

TensorFlow, Keras, Scikit-Learn, Image Processing, Neural Networks.

Data Tools

NumPy, Pandas, Matplotlib.

IoT Technologies

Arduino, Raspberry Pi, Esp 8266.

Platforms

Google Colab, Jupyter Notebook, Visual Studio Code, Tinkercad, ThingSpeak, Arduino IDE.

Interests

Hobbies

Volleyball.

Projects

Heart Disease Prediction (Federated Learning)

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Summary

Developed and optimized a deep learning model for heart disease detection, incorporating Federated Learning to ensure data privacy across decentralized sources.

Atom-Assistive Exoskeleton Robotic Arm

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Summary

Designed and developed an Assistive Exoskeleton Robotic Arm (Atom) to support patients in physiotherapy rehabilitation and reduce physical strain on therapists.

IoT-Based Smart Society

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Summary

Developed an IoT-based smart society system to enhance automation, security, and energy efficiency in residential and commercial areas.