Using AI for Career Management

Workshop Title: Using AI for Career Management: Navigating Your Professional Path with Artificial Intelligence

Presenters:  Karthikeyan Gopal, Senior Software Development Engineer, Amazon
Jayashree Sankar Kumar, SDE, Oracle
Madhuri Gangadharan, SDE, AWS

Abstract:

In the dynamic and competitive job market of today, leveraging artificial intelligence (AI) can provide a significant advantage in managing and advancing your career. This one-hour workshop, “Using AI for Career Management: Navigating Your Professional Path with Artificial Intelligence,” will be useful for professionals at all career stages looking to utilize AI tools to enhance their job search, skill development, networking, and performance tracking.

Participants will explore how AI technologies, such as machine learning and natural language processing, are transforming career management. The session will cover practical applications of AI in job matching, identifying skill gaps, recommending training, and facilitating professional networking. Real-world case studies will illustrate successful strategies, while interactive demos will provide hands-on experience with AI-driven career management tools.

Through engaging discussions and a Q&A session, attendees will have the opportunity to delve into the potential and challenges of integrating AI into their career strategies. This will empower them to take control of their career trajectory, optimize professional growth, and achieve career goals.

Presenter Bios:

Karthikeyan Gopal, Senior Software Development Engineer, Amazon

Karthikeyan Gopal is a tenured senior software developer (~10 YOE) with extensive experience in building highly scalable, distributed, and multi-tenant systems. I have deep expertise in Java, SQL, RDBMS, and analytical queries, as well as proficiency in design patterns, caching, performance tuning, and system design. I also have deep expertise in Analytics, Payments and compliance domains. At Amazon, I have launched multiple payment products across different countries like Brazil, Singapore, Australia and Mexico. I have also led compliance projects, defining the technical strategy, and building components from the ground up for the emerging countries needs for Amazon. I’ve also served as a Bar Raiser, interviewing over 100 candidates, and have developed an AI powered “Vision” tool to help debug complex workflows across multiple services for all teams in Payments. Prior to Amazon, I was a Member Technical Staff at Zoho, where I significantly improved the performance of Zoho Analytics by 20x through content caching, precomputation, and in-memory database optimization over a period of 5 years. I hold a B.Tech in Computer Science and have a passion for problem-solving, as demonstrated by my participation and wins in various hackathons and coding events.

Jayashree Sankar Kumar, SDE, Oracle

Jayashree Sankar Kumar is an experienced software engineer with over 6 years of experience. She has hands-on experience in building chatbots using AI and NLP for healthcare, as well as design and development of critical cloud infrastructure applications. She had worked on diverse technologies to deliver efficient solutions. Jayashree currently works as a Software Engineer at Oracle in Seattle. Prior to that, she held roles as a Software Developer at Egen Solutions and as a Software Engineer Intern at IQVIA, where she worked on creating an NLP-powered bot platform and pioneered to migrate the monolithic systems to containerized microservices. Also she worked as a full stack developer in Sony Pictures to enhance the products using the latest frameworks. She has a Master’s degree in Computer Science with a focus on Intelligent Systems.

Madhuri Gangadharan, SDE, AWS

Madhuri Gangadharan is an experienced Software Development Engineer with over six years of experience, currently working at Amazon Web Services (AWS) in Seattle. She specializes in designing and developing business analytics applications like QuickSight and has expertise in natural language processing, machine learning, and virtual reality. Before joining AWS, Madhuri worked at Continental, where she was involved in innovation-focused projects, including a proposal for “Helmet Detection in two-wheelers” using AI and image processing. Madhuri holds a Master’s degree in Computer Science with a focus on Artificial Intelligence from Texas Tech University and has experience developing games using AI algorithms, highlighting her diverse skill set and innovative approach.