I'm a Master's freshman at the Illinois Institute of Technology, specializing in Information Technology and Management. With a strong foundation in Java, Python, web Development, Big Data, and Linux. I have experience as a Salesforce Developer intern, customizing applications and integrating systems to enhance functionality and efficiency.
My Resume
Hi, I'm Sai Abhinav Kolli, an aspiring Software Developer, Cloud Engineer, with a strong background in Big Data, Web Development, and Machine Learning. Currently pursuing my Master’s in Information Technology and Management at Illinois Institute of Technology, I enjoy solving complex problems and developing innovative solutions that drive real-world impact.
I have hands-on experience in Java, Python, React, Node.js, Apache Spark, and AWS, and I have worked on projects ranging from secure cryptocurrency transactions to scalable e-commerce platforms. As a Salesforce Developer Intern, I integrated third-party systems and enhanced user functionality, refining my expertise in system design and backend development.
In addition to my technical work, I serve as a Teaching Assistant for Cloud Infrastructure as a Service, where I guide students through cloud computing concepts, hands-on labs, and real-world applications. I enjoy mentoring, sharing knowledge, and collaborating on cutting-edge technologies.
I am always eager to learn and explore emerging technologies, whether it's cloud infrastructure, AI-driven security models, or scalable web applications. My passion lies in designing efficient and secure systems that enhance user experiences and solve real-world challenges.
Let’s connect and build something amazing together! Feel free to explore my projects and reach out if you’d like to collaborate or discuss exciting tech ideas.
More About MeDesigning intuitive and visually appealing user interfaces for web and mobile applications, ensuring seamless user experiences.
Learn moreDeveloping responsive, fast, and reliable websites using modern technologies to bring your business online.
Learn moreApplying machine learning and data analysis techniques to extract insights and help make data-driven decisions.
Learn more
Developed a comprehensive e-commerce platform dedicated to selling food and related products. The website features user-friendly navigation, a secure payment system, and an inventory management system. Users can browse various food items, view detailed product descriptions, and place orders seamlessly. The platform also includes a recommendation system to enhance user experience and promote sales.
Developed an interactive web app delivering real-time COVID-19 statistics, including active cases, recoveries, deaths, and local infection rates. The user-friendly interface provides global stats, location-based alerts, and vaccination details, such as nearby centers, available vaccines, pricing, and worldwide vaccination totals. This platform empowers users with essential data to stay informed and make safe choices.
Implemented a system for securing cryptocurrency transactions using Recurrent Neural Networks (RNN) and machine learning algorithms. This project focuses on anomaly detection in blockchain data to prevent fraud and unauthorized transactions. A web interface was integrated to monitor transaction statuses in real-time.
Developed a web-based platform for booking doctor appointments with features like a Doctor Panel for managing schedules for each doctor, and an Admin Panel for overseeing operations, including doctor management and appointment tracking. Integrated secure authentication, appointment reminders, and payment processing for a seamless user experience. Technologies used: React.js, Node.js, JavaScript, MongoDB.
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