Hey! I'm a STEM student who’s into quantum computing, machine learning, and all things space. I love digging into cool concepts, whether it's unraveling quantum algorithms, experimenting with AI models, or just figuring out how complex ideas connect.
Outside of coding, I’m probably listening to music, overanalyzing physics concepts, or enjoying a good cup of coffee. This portfolio is just a little corner of my world—feel free to check it out! 🚀☕🎶
Developed a web app to raise awareness of brain injuries, featuring an AI-powered chatbot. Integrated FastAPI and Google Cloud for scalable deployment.
Designed a GNN-based scheduler for Flexible Manufacturing Systems (FMS). Improved machine utilization by 10% using a hybrid GCN-GWPH approach.
Compared Quantum Annealing, VQE & QAOA for solving BPP efficiently. QA achieved 80-90% solution quality, outperforming classical methods.
#Gained hands-on experience with Qiskit 1.0, exploring transpilation, VQE, VQC, and quantum optimization.
#Successfully completed hands-on labs on hardware noise, error mitigation, and quantum simulation.
#Promoted to the lead position of quantum core domain at SQCC SRM and successfully organized Quantathon 2.0, an intercollegiate quantum computing hackathon, in collaboration with IBM.
#Secured 1st place in IBM challenges, 3rd in Classiq challenges, and 2nd overall at Q-SITE 2024, an international quantum computing hackathon hosted by the University of Toronto.
#Worked on quantum radar system design.
#Working on quantum reservoir computing.
#Presented research paper on "Hybrid GNN Heuristic Architecture for Real-Time Scheduling in Smart Manufacturing Systems" at Shaastra Technofest Ai conference, IIT Madras.
#Made it to top 98 teams out of entire Asia-Pacific region.
# Collaborative work on the chapter "Post-Quantum Cryptography: An Overview" received acceptance for inclusion in Springer’s upcoming "Quantum Protocols in Blockchain Security" book.