Pranjal Kabra
Github
Linkedin
CodeForces
Contact - pranjal.kabra.mat23@itbhu.ac.in
Education
Indian Institute of Technology (BHU) Varanasi, India.
B.Tech + M.Tech in Mathematics and Computing (Aug 2023 - May 2028)
- Cumulative Performance Index( CPI): 8.80/10.00
- Relevant coursework: Data Structures and Algorithms, Discrete Mathematics, Probability and Statistics, Linear Algebra, Computer System Organisation, Operating Systems.
CBSE(XII), Sanskartirth Gyanpeeth, Surat - 94.2% (2023)
CBSE(X), Maheshwari Vidyapeeth, Surat - 97.8% (2021)
Projects
Road segmentation on DeepGlobe Road Extraction dataset
- Applied road segmentation using UNet with VGG19 and ResNet encoders.
- Experimented with multiple architectures to compare performance on the dataset.
- Optimized model training in PyTorch for accurate road mask predictions.
Classification on infrared solar modules
- Classified anomalies in solar panels using infrared thermography imagery from real-world solar farms.
- Leveraged machine learning models to identify faults, optimizing maintenance in photovoltaic systems.
- Contributed to environmental impact by improving predictive accuracy in solar energy efficiency.
M : N User - to - Kernel Level Multi Threading Library
- Designed and implemented a custom M:N user-to-kernel level multithreading library in C, enabling efficient thread management by mapping multiple user threads to fewer kernel threads.
- Developed key features such as user/kernel thread creation, round-robin scheduling, cooperative yielding, and thread joining, mimicking modern multithreading behavior at the user level.
- Demonstrated practical use-cases via simulation tests including a multi-client HTTP request handler and parallel factorial computation, showcasing thread coordination and performance optimization.
Achievements
- Specialist At Codeforces (max. rating - 1450)
- 99.6 percentile in Joint Entrance Examination(Mains), 2023
- All India Rank 5030 Joint Entrance Examination(Advanced), 2023 (more than 1 Million participants)
- Runner Up in a prestigious college competition for mono acting.
Technical Skills
- Languages - Python, C++, C, HTML, JavaScript, CSS.
- Frameworks - Pandas, Matplotlib, Pytorch, Tensorflow, OpenCV, Transformers
Position of Responsibility
- Core Team Member at Club of Programmers, COPS, IIT(BHU), Intelligence Guild
- Student Guide at Wellness Council, IIT(BHU).