Abhinav Sanjeeva Prasad

WORK HISTORY

EDUCATION

ABOUT ABHINAV SANJEEVA PRASAD

Software engineer with a passion for innovation and a knack for crafting ingenious solutions to tackle real-world challenges. Let\'s connect and revolutionize the tech landscape together! Currently, I am a Software Engineer at Scotiabank. My official role at Scotiabank is Ignition Associate. Ignition is a part of Scotiabank\'s TILT (Talent Incubators for Leaders of Tomorrow) program. It consists of high-performance rotations designed specifically for recent graduates who want to pursue a career in Technology. Ignition is considered the most prestigious program for career development and leadership training at the bank. Previously, I have interned at Scotiabank’s Velocity Program. I had an opportunity to work for three different teams. In my first rotation, I had the role of Technical Business Engineer where I mainly worked as a Data Analyst and a Power BI Developer. For my second rotation, I was a Software Engineer mainly working as a Full-Stack Developer. In my third rotation, I had the role of a Software Engineer as well and mainly worked as a Data Engineer. I earned a Bachelor\'s Degree in Computer Engineering from the University of Toronto. I am fortunate to have varied exposure as part of my curriculum. The curriculum included, among others, software programming languages, hardware descriptive languages, artificial intelligence, machine learning, and digital and analogue circuits. My varied curriculum has not only made me a keen learner but has also enhanced my creativity, critical thinking and problem-solving skills. In addition, I have played various leadership roles to enhance my soft skills. I have held various positions in the University of Toronto Engineering Society. I was the First Year Representative and Events Coordinator for the Skule Alumni Outreach Committee. I was the Events Coordinator for Skule Community Outreach. I was also a VP of Technology at the UofT\'s Engineering Finance Association (UTEFA). I was fortunate to publish a research paper on Machine Learning Classification of Body Parts, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging with the University of Toronto and various medical institutes in Ontario, Canada. https://pubmed.ncbi.nlm.nih.gov/37••••50/ Technical Skills: Programming Languages: Python, Java, JavaScript, C++, SQL, HTML5, CSS3, C, Scala, TypeScript, Bash (Unix/Linux) Framework: Spring Boot, Docker, Rancher, Spark, Angular Libraries: React.js, Flask, Node.js, Jest, Express.js Data Analytics: DAX, Excel, Microsoft Power BI