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Hello There!

I am a Software Engineer based in London, currently working at Microsoft. My specialty is building solutions powered by AI, Serving LLMs experimenting with model architectures.

I love solving real problems with AI and I've won numerous hackthons and some at a global level trying to achieve that.

I am currently open to new AI opportunities in London. If you have an exciting opportunity and want to build something great together, please feel free to reach out via email or through LinkedIn!

GitHub Streak

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Seth's Projects

an_pinbruter icon an_pinbruter

THIS CAN BE USED TO HACK INTO PIN LOCKED ANDRIOD MOBILES.USED TO CRACK LOCK PINS.

autogen icon autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

chaos icon chaos

Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

clara-copilot icon clara-copilot

A alternative to Github Copilot for vscode until you get the access to github copilot

cml icon cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

deception-detection-on-amazon-reviews-dataset icon deception-detection-on-amazon-reviews-dataset

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dumbify icon dumbify

Dumbify is a Text Conversion Platform which can do really intresting things using OpenAI's API

dynalib-extraction icon dynalib-extraction

Create a Dynamic Lib and Extract functions from Dynamic lib dynamically at runtime

facedetection-using-mtcnn icon facedetection-using-mtcnn

Implementation of face detection using pre trained Multi-tasked Cascaded Convolutional Neural Networks(MTCNN) by @ipazc. It is based on the paper Zhang, K et al. (2016) [ZHANG2016]

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handwritten-digits-detection-with-cnn icon handwritten-digits-detection-with-cnn

The Repo contains a ipynb Jupyter notebook file which is created using Convolutional Neural Networks(CNN) whose task is to detect Handwritten digits with help of MNIST dataset.

humanstorage-backend icon humanstorage-backend

Backend for human storage hackathon project. Submitted to ETH Global London 2024. Won runner's up prize in Filecoin category.

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