ANURAG AVINASH KALE

** ******* ******, ****** ****,New Jersey

Ph.:+1-201-***-**** ; Email:ad3xvw@r.postjobfree.com

ACADEMIC QUALIFICATIONS

Master of Science in (Cybersecurity), Stevens Institute of Technology,Hoboken,New Jersey Expected Graduation : May 2025

Bachelor of Engineering in (Computer Engineering ), K K Wagh Institute of Engineering Education and Reasearch

(KKWIEER), Nashik affiliated to Savitribai Phule Pune University (SPPU),Pune; Aug’22;

CGPA: 8.48/10

TECHNICAL SKILLS

● Technology/Techniques/Tools: Ethereum Blockchain,Gitpython,AWS,Latex,Shell Scripting

● Programming Languages/Operating Systems : C++, Python, SQL, PHP, Solidity CERTIFICATIONS

● Diploma in Cyber Law, Asian School of Cyber Laws; Aug’22 – April’23

● ML Linear Regression, Future skills; Sept’22

● Complete Bash and shell scripting, Udemy; Aug’22

● Complete Linux Certification, - Udemy; (Aug ’2022)

● Blockchain, - EduxLabs India; (March’ 2022)

● AWS Academy Graduate, AWS Academy Cloud Foundations, Amazon Web Services; June’21)

● Cybersecurity Foundations, - Coursera/IBM; (April’ 2020) ACADEMIC PROJECTS

Project title: Segmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithms

Duration: July’21 – May’22

Team Size: 4

Description:

1.Experienced in employing advanced methodologies for image analysis, with a focus on addressing constraints and enhancing accuracy. Proficiently implemented the Support Vector Machine (SVM) algorithm and extensively studied performance parameters to optimize results. 2.Demonstrated expertise in utilizing image recognition and machine learning algorithms, particularly for tumor detection. Successfully applied tools such as Scikit-learn, NumPy, TensorFlow, Keras, and Git Python, showcasing a comprehensive skill set in both development and version control. 3.This work signifies a remarkable blend of theoretical knowledge and practical application, emphasizing a commitment to excellence in the field of computer and communication engineering. 4.Contributed to the scientific community by publishing groundbreaking findings in the International Journal of Advanced Research in Computer and Communication Engineering. The research paper specifically delves into the intricacies of employing SVM, Convolutional Neural Network (CNN), and Watershed algorithms for image analysis.

Project title: Banking Full Stack Decentralized application using blockchain Location: Edux labs, Nashik

Duration: March’22- March’ 2022

Description:

1. Led the development of a cutting-edge Full Stack Decentralized Application (DApp) for the banking sector, leveraging the power of blockchain technology to revolutionize payment systems. Spearheaded the integration of Ethereum Blockchain and the implementation of smart contracts to enhance security, transparency, and efficiency in financial transactions. 2. Demonstrated proficiency in architecting and implementing decentralized solutions, showcasing a deep understanding of blockchain technologies and their application in the financial domain. Successfully navigated the complexities of Ethereum Blockchain, ensuring seamless integration into the banking infrastructure.

3. Contributed significantly to advancing the technological landscape by orchestrating the development of a pioneering banking DApp. By utilizing Ethereum and smart contracts, the project not only addressed traditional payment challenges but also set a new standard for secure and decentralized financial operations.

4. This achievement underscores a forward-thinking approach and a commitment to pushing the boundaries of technology, reflecting a dedication to innovation and excellence in the financial technology sector. Project title: GPS Location Tracker

Duration: Sept’22 - Sept’22

Objective:

1. Engineered an innovative GPS-based location tracking system designed to meticulously monitor and archive the precise locations of diverse devices. Skillfully implemented cutting-edge tools, including Linux, Raspberry Pi, and Internet of Things (IoT) technologies, to create a sophisticated solution with multifaceted capabilities.

2. Demonstrated adeptness in seamlessly integrating hardware and software components, resulting in a high-performing and adaptable location tracking mechanism. The strategic use of Linux and Raspberry Pi platforms underscored a keen understanding of robust and scalable solutions within the dynamic landscape of emerging technologies.

3. This achievement reflects a profound ability to conceptualize and execute complex projects, showcasing a commitment to excellence in the realm of IoT and location-based tracking systems. The successful development of this groundbreaking technology exemplifies a forward-thinking approach and a dedication to pushing the boundaries of innovation. WORKSHOPS

● Engaged in a Digital Forensics workshop orchestrated by the Debuggers Club of KKWIEER, gaining insights into advanced techniques and methodologies for digital investigations.

● Actively participated in an Internet of Things (IoT) Workshop organized by Cognifront Technologies, Nashik, honing skills in IoT technologies and applications.

● Attended an Ethical Hacking Workshop hosted by COEP, Pune, acquiring hands-on experience in ethical hacking practices and cybersecurity strategies.

● Contributed to a Google IT technical event organized by the Department of Computer Engineering, KKWIEER, showcasing dedication to staying current with industry advancements.

● Participated in a seminar on Neural Networks conducted by the Debuggers Club of KKWIEER, enhancing knowledge of artificial intelligence and machine learning concepts.

● Contributed to the LeadHership Conference organized by the Office of Student Culture and Belonging at Stevens Institute of Technology, highlighting commitment to personal and professional development.

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