Amlan Pal

Skills

I have focused on building a technical skillset that balances core computer science principles with specialized research in quantum computing and artificial intelligence. Here are the skills I have developed through my coursework at VIT Vellore, my research internships, and personal projects:

Technical Skills
I am proficient in Python and C++ for general software development and research. My work in artificial intelligence includes natural language processing and developing retrieval augmented generation systems using LangChain. I also have experience with geospatial technology and machine learning for environmental prediction models.

Quantum Computing
My background in quantum computing includes both theoretical foundations and practical simulation. I am experienced in using Qiskit and PennyLane for building quantum circuits and implementing algorithms like Grover’s search and the Quantum Fourier Transform. I have a strong interest in quantum machine learning and quantum sensing, which I currently apply to signal data enhancement.

Mathematics
Mathematics has always been my strongest area. I have extensive experience in linear algebra, multivariable calculus, and probability and statistics. I apply these specifically to quantum state spaces, signal processing, and the mathematical modeling of physical systems.

Research and Presentation
Through my work with Jadavpur University and presentations at ISRO, I have developed skills in technical research, data denoising, and scientific communication. I am comfortable performing literature reviews, handling noisy real world data, and presenting complex findings to professional scientific audiences.

Leadership and Collaboration
As a core member of SIAM and the outreach head at Mathverse VIT, I have experience leading technical teams and managing large scale academic events. I have also worked on collaborative development projects using Git for version control and have served as a campus representative for technical platforms.

About

I have always found a natural clarity in mathematics and logic which has made the subject my strongest foundation since childhood. Now as a pre-final year Computer Science student at VIT Vellore I am focused on applying that mathematical rigor to challenges in quantum computing and artificial intelligence. I currently maintain an 8.60 CGPA and am driven by the goal of turning abstract theories into functional technology.

Right now I am working as a research intern at Jadavpur University where I focus on gravitational wave signal enhancement. My work involves using quantum sensing to improve the detection of incredibly weak signals by filtering out quantum and environmental noise. This experience has been vital in showing me how to bridge the gap between theoretical physics and real world computational problems. To strengthen this background I recently finished a 36 hour program on Quantum Computing where I moved from the math of qubits to building and simulating circuits using Qiskit and PennyLane.

I am also active in the wider research community. I recently presented an abstract at the National Space Science Symposium at NESAC ISRO where I discussed using AI and geospatial technology for landslide prediction. It was a great opportunity to show how data science can be used to solve environmental risks. Additionally I attended the ISMMQCHS 2026 symposium which gave me a much deeper perspective on how mathematical modeling and quantum safe encryption are becoming essential in modern healthcare.

Outside of my research I lead the Tech and Outreach domain for Mathverse VIT and serve as a core member of SIAM. These roles allow me to lead technical teams and organize events that push for academic engagement on campus. Whether I am developing a RAG system for document processing or exploring the math behind quantum transformers my aim is to use my background in logic and computation to contribute to meaningful research.