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👋 Hello World, I'm Inbasekaran Perumal

Passionate advocate for AI/ML and low-level systems, driven by a deep affection for mathematics and its real-world integration into technological advancements

About Me

  • 👀 Interested in AI/ML, low-level systems, and the inner workings of computers and electronics.

  • 🌱 Currently learning Deep Learning, Generative AI, Image Processing, FPGAs, and low-level system programming.

  • 💞️ Looking to collaborate on open-source projects within my domain.

  • ✉️ Reach me at: [email protected]

  • 📄 My resume

📫 Connect with me:

thepinbohacker inbasperu the_pinbo

🛠 Language and tools

python logo c logo cplusplus logo verilog logo rust logo anaconda logo jupyter logo amazonwebservices logo linux logo Vivado logo Quartus Prime Spacy airflow Databricks Hugging face scipy fedora logo docker logo apachekafka logo fastapi logo postman logo opencv logo tensorflow logo numpy logo pandas logo snow flake mongodb logo redis logo confluence logo git logo matlab logo canva logo photoshop logo illustrator logo premierepro logo aftereffects logo

🔥 My Stats :

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Inbasekaran Perumal's Projects

anchor-docker_clone icon anchor-docker_clone

A repository containing our learnings and implementations for the project "Anchor: The Docker Clone" under IEEE-NITK

crop-prediction icon crop-prediction

Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.

go icon go

Algorithms implemented in Go for beginners, following best practices.

image-denoising icon image-denoising

The standard approach to image reconstruction using deep learning is to use clean image priors for training purposes. In this project, we attempt to achieve denoising without using a clean image prior and yet, achieving a performance comparable to, or sometimes, even better than that obtained using the conventional approach.

mim icon mim

MIM is a command line GUI torrent application that can download files from the internet through .torrent files and magnet links. It involves deep knowledge of networking and an understanding of peer-2-peer communication using the BitTorrent protocol.

mips-single-cycle icon mips-single-cycle

MIPS single cycle Verilog implementation based on Computer Organization and Design The Hardware software Interface by David A. Patterson and John L. Hennessy.

pdm-to-ethernet-packet-generator icon pdm-to-ethernet-packet-generator

This project explores real-time audio signal processing on a Digilent Nexys4-DDR FPGA board, capturing audio from a MEMS microphone, processing it with FFT, and transmitting results via Ethernet for potential applications in audio analysis and processing.

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