Enthusiastic MS CS (Master of Science in Computer Science) student at the University of Illinois at Urbana-Champaign (UIUC), set to graduate in Summer 2024. Specializing in machine learning and computer vision, I am passionate about exploring the frontiers of technology and leveraging data to drive impactful solutions. With a keen interest in advancements within the field of computer science, I am always eager to stay at the forefront of emerging trends and methodologies. During my time at UIUC, I have actively engaged in cutting-edge research projects, focusing on machine learning and computer vision. Through these experiences, I have developed a deep understanding of complex algorithms, statistical modeling, and data analysis techniques. I am skilled in utilizing programming languages such as Python, C++, Java, and have experience with full stack development using JavaScript, React, Angular, Flask .etc. As an avid reader and lifelong learner, I stay up-to-date with the latest research papers, industry publications, and technological breakthroughs. This passion drives me to seek opportunities where I can apply my knowledge to real-world problems and contribute to advancements within the field. Currently, I am actively seeking full-time opportunities in ML (Machine Learning), SDE (Software Development Engineer), and SWE (Software Engineer) roles, where I can apply my expertise and contribute to innovative projects. I am excited to join a dynamic team where I can collaborate, learn, and make a tangible impact. Let's connect and explore potential synergies.
- Master of Science in Computer Science (MSCS)
- 2022 - 2024
- GPA: 3.85/4.0
- Relevant courses: Computer Vision, Computational Photography, Autonomous Vehicle System Engineering, Applied Parallel Programming, Advanced Competitive Coding Seminar
- Bachelor of Technology in Computer Science and Engineering
- 2018 - 2022
- GPA: 3.94/4.0
- Rank: 2/450
- Relevant courses: Artificial Intelligence, Algorithms Design and Analysis, Database Systems, Operating Systems, Data Structures, Networking Systems and Computer Architecture
I have been working on developing an action recognition and detection system for 360-degree firefighting videos. To achieve this, I have compared the performance of different algorithms, including CNN, CNN-LSTM, CNN-FPN, RNN, and 3D bag of words, for action detection. The average detection accuracy of the developed system currently stands at 89%.
I worked on modeling an unmanned aerial vehicle with a LIDAR sensor for object detection using MATLAB and Simulink. The system was capable of autonomously rerouting its course by self-plotting new waypoints and identifying obstructions, achieving an average detection accuracy of 88.21%.
I delved into the study of public key post-quantum cryptosystems. I explored various cryptosystems, including code-based, lattice-based, multivariate-based, supersingular elliptic curve isogeny cryptosystems, and hybrid cryptosystems, gaining a comprehensive understanding of their working principles. Understanding different cryptosystems is crucial for working with cryptocurrencies and blockchain technology. It enabled me to evaluate cryptographic mechanisms in blockchain protocols and contribute to the design of secure consensus algorithms.
Author(s): J. Li, J. Liao, B. Chen, A. Nguyen, A. Tiwari, Q. Zhou, Z. Yan, K. Nahrstedt
Published in: Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV '23)
- Chapter lead at Anita.Org, Delhi, 2021
- Campus Representative at GGSIPU, 2021-2022
- Member of Women Who Code, Delhi, 2019-2020
- Founder and President of National Service Scheme (NSS), GGSIPU, 2019-2022
- Board member, Women International Network (NGO), 2018-Present
- Internshala Student Partner for GGSIPU, 2018-2019
