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Aasim Kamal
Software Engineer at Genesys - Java - JavaScript - React.js - Node.js - Spring
Professional Background
Aasim Kamal is a dedicated and enthusiastic Software Engineer with over five years of extensive experience in the domain of software and web development. Currently, he thrives in his role at LogMeIn, based in Boston, where he has honed his skills in developing innovative software solutions. His daily responsibilities include creating impactful technologies such as Chatbots, Live Chats, Support Centers, and comprehensive FAQs. Aasim employs a wide array of programming languages and frameworks including JavaScript, HTML5, CSS3, NodeJS, React.js, jQuery, AJAX, RESTful APIs, AWS S3, and ServiceNow to support diverse client needs.
Before joining LogMeIn, Aasim played a pivotal role in a significant research project funded by the Air Force Research Laboratory (AFRL), amounting to an impressive $257K. This project involved the development of a sophisticated web application to estimate and visualize the air corridors of multiple UAVs, using an array of cutting-edge technologies including HTML5, CSS3, JavaScript (ES6+), React.js, Node.js, and Python. His contributions to this project showcased his ability to marry creativity with technical expertise in delivering real-world solutions to complex problems.
Aasim’s experience spans across several reputable software companies including Accenture, Tata Consultancy Services (TCS), and IBM. He has been instrumental in developing numerous modules of web applications using Java, Java EE, JavaScript, Angular, React.js, Node.js, Spring, SQL, and RESTful APIs, which have made him a versatile asset in the software development landscape.
Education and Achievements
Aasim holds a Master of Science (MS) in Computer Engineering from The University of Toledo, where he achieved an exceptional GPA of 3.97, a testament to his hard work and dedication to his field. He also earned a Bachelor of Engineering (BE) in Computer Science from Visvesvaraya Technological University, graduating with a GPA of 3.09. His solid educational background enables him to approach complex engineering problems with analytical and innovative solutions.
In addition to his formal education, Aasim actively participates in personal projects that push the boundaries of his technical skills. Notable among these is a Machine Learning project where he utilized models such as Linear Regression and Logistic Regression on housing data to predict housing prices using Python. Furthermore, Aasim has developed a Twitter Sentiment Analyzer in Python by leveraging TextBlob and Tweepy to analyze user sentiments on the social media platform, showcasing his adeptness in applying machine learning techniques to real-world datasets.
Achievements
- Development of advanced web applications for various software projects, significantly improving user interactions and enhancing online services.
- Pivotal contribution to a research project funded by the AFRL, reflecting his capability to handle high-stakes projects.
- Successful application of Machine Learning techniques on diverse datasets, demonstrating a robust understanding of data analysis and predictive modeling.
- Consistent performance in software development roles with some of the most prominent technology organizations globally, emphasizing his capacity to adapt and excel in ever-evolving technological environments.
