Information Security Aws

Darshan Lal

Contact: 682-***-****, Email: **************@*****.***

github.com/darshan-lal www.linkedin.com/in/darshan-lal EDUCATION

University Of Texas Arlington Aug 2018 – Jul 2020

• Secured a Master’s in Computer Science.

R. T. M Nagpur University (Kits, Ramtek) Aug 2013 – May 2017

• Secured a Bachelor’s of Engineering in Computer Technology. Courses: Computer Vison, Adv. Database Systems, Data Mining, Cloud Computing, Artificial Intelligences, Web Data Management, Information Security, Distributed Systems, Design and Analysis of Algorithms, Software Engineering, Software Testing. CERTIFICATIONS & SKILLS

• Amazon Certified Solution Architect Dec 2020

• Amazon Certified Cloud Practitioner Oct 2020

• Udemy Python Bootcamp July 2020

• Programming Languages: Python, SQL, Java, C, C++.

• Web Technologies: HTML, CSS, JavaScript, PHP, React Native.

• Big Data Ecosystems: Hadoop, HDFS, MapReduce, Hive, Sqoop, HBase, Apache Spark.

• DevOps Tools: Git, Jenkins, Ansible, Docker, Vagrant, Maven. WORK EXPERIENCE

Freelance Solution Architect Dec 2019- May 2021

• Developed the Infrastructures for Multilayer Software Architecture on AWS Cloud.

• Utilised AWS Cloud front and OAI for easy and secure access for the customers. Trainee Software Engineer at Technocronies Software Solution and Services LLP

• Developed several software and maintained client database on different technologies like JavaSE, Spring, JavaFx. Jun 2017 - Jun 2018

ACADEMIC PROJECT

AWS Lambda Function to automatically stop and start EC2 Instances.

• Scripted a Lambda function using Python3.7 which stop and start the EC2 instances.

• Triggered the Lambda function using a Cloudwatch event. Face Recognition Based Attendance Management System.

• Developed an automatic attendance marking and management system, It recognizes the face using webcam and marks the attendance.

• Python and OpenCV is used to developed the project. Object Detection of CIFAR 100 And CIFAR 10 Dataset.

• Pre-processed the images, then training/prediction using Convolution Neural Network. Classification Of The “hand written letters” Image Data Sets.

• Utilized SVM, Linear regression, Knn, And Centroid classification Methods. Image Editor With Square It Feature.

• Conversion of a rectangular shaped image into a square shaped image so that the image can be uploaded on Instagram. (Without cropping or stretching the image). Degree Centrality based hubs for Heterogeneous Multi-Layer Networks.

• Extended the Degree Centrality of a single layer graph for Multi-Layer Networks

• Developed the project using Python NetworkX.

Connect Four Bot.

• Implemented a Min Max tree, Utilized the depth of the tree to regulate difficulty of the game. Multi-Threaded Client Server With Mutual Exclusion And Replica Management.

• Programmed a multithreaded server which handles multiple clients at the same time. Mutual Exclusion let the client to share a single resource with other clients.

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