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Hello World! I am Ashish Singh Negi 👋

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Welcome to my GitHub profile! I'm a passionate Engineer with a strong evolving interest in Computer-Vision and Deep-Learning. Here you'll find some of my projects and contributions.

About Me 🧑‍💻

Currently working as a Deep Learning Engineer at SiMa.ai.

Background:

M.Sc. graduate in Information Technology, with specialization in Embedded Systems and Artificial Intelligence. Over three years of experience in the Automotive Industry as a Software Developer, and an internship in Embedded-AI. For my masters thesis, I worked on the development of nighttime vehicle detection methods using Computer Vision and Deep Learning. Skilled in applying critical thinking to real-world challenges.

Projects 🚀

Here are a few projects (and competitions) I've been involved in:

  • Billiards Motion Prediction: Predicting motion of billiard balls using neural network models (Universität Stuttgart).
  • AI or Not: In this competition, my task was to build a neural network model that can identify AI-generated images.
  • Ship-Detection: In this competition, my goal was to use satellite imagery to detect ships in ports.

Feel free to explore my repositories to discover more exciting projects!

Blogs 📝

Get in Touch 📬

Let's connect! Feel free to reach out to me through the following channels:

I'm always open to exciting projects, interesting discussions and exchanging ideas.

Ashish Singh Negi's Projects

aes icon aes

Verilog implementation of the symmetric block cipher AES (Advanced Encryption Standard) as specified in NIST FIPS 197. This implementation supports 128 and 256 bit keys.

codeforces icon codeforces

C++ code submissions for problemsets and contests on codeforces, codechef, and cses

fapra-ai-public icon fapra-ai-public

Predicting motion of billiard balls using neural network models (Universität Stuttgart)

gpt-engineer icon gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

llvm-tutor icon llvm-tutor

A collection of out-of-tree LLVM passes for teaching and learning

makemore icon makemore

An autoregressive character-level language model for making more things

minbpe icon minbpe

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

onnx-modifier icon onnx-modifier

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

ref icon ref

Team Reference Document under 25-page limit.

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