Transitioning from enterprise software development to cutting-edge artificial intelligence, machine learning, and data science.
I'm a results-driven Software Engineer with 3+ years of experience delivering enterprise-level solutions at Deloitte and JPMorgan. I specialize in .NET (C#, ASP.NET Core), Angular, and SQL Server, having built scalable applications supporting 30,000+ users.
Currently pursuing my Master of Applied Artificial Intelligence at Deakin University, I'm passionate about transitioning into AI/ML while leveraging my strong foundation in full-stack development and system design to create intelligent, data-driven solutions.
From enterprise software solutions to AI/ML exploration
Designed and built scalable application supporting 30,000+ users using .NET Core, Angular, and microservices architecture.
Impact: Supports 30k+ users
Developed micro frontend and microservices from scratch, addressing performance challenges and improving system scalability.
Impact: Enhanced performance & scalability
Runner-up in Deloitte's internal Generative AI Hackathon among 50+ teams for innovative AI solution implementation.
Impact: Runner-up among 50+ teams
Leveraged Alteryx and Tableau to develop automated solutions and dashboards during JPMorgan internship.
Impact: Automated reporting processes
Developed and maintained robust RESTful APIs enabling seamless communication between microservices and frontend.
Impact: Improved system integration
Currently working on machine learning projects as part of Master's program, focusing on neural networks and deep learning.
Impact: Academic research & learning

Deakin University, Melbourne, Australia

Deloitte Consulting India Pvt Ltd, Hyderabad

JPMorgan Chase & Co, Bangalore

Thapar Institute of Engineering & Technology
Open to opportunities in AI/ML, data science, and innovative software solutions
Years Experience
Users Supported
Major Companies
AI Hackathon