mahii6991 Goto Github PK

followers: 4.0 following: 16.0 repos: 58.0 gists: 0.0

Name: MAHENDRA SINGH RAJPOOT

Type: User

Company: University of Essex

Bio: Machine Learning Engineer

Location: colchester

Blog: http://rajabeti1996.me/

👋 Hello World! I'm Mahii

Welcome to my GitHub profile! I'm a passionate Full Stack Machine Learning Engineer with a keen interest in cutting-edge technologies. Let me give you a glimpse into my world:

About Me

👀 I'm fascinated by the realms of Machine Learning, Federated Learning, and Natural Language Processing, with a special focus on Large Language Models (LLMs). Exploring the endless possibilities these fields offer keeps me motivated and excited.
🌱 Currently, I'm thriving in the dynamic environment of Ecliptic, a place where innovation meets real-world challenges. I'm actively involved in leveraging the power of AI to make a difference.

Skills

Languages: Python, JavaScript, SQL, R
Frameworks: TensorFlow, PyTorch, Scikit-learn, React, Node.js
Tools: Jupyter, Git, Docker, Kubernetes
Areas of Expertise: Machine Learning, Federated Learning, Natural Language Processing, Large Language Models (LLMs)
Full Stack Development: Proficient in both backend and frontend development, enabling seamless integration of AI solutions into web applications.

Current Work

🌱 I am working at Ecliptic, focusing on innovative AI solutions.
📚 Continuously learning and exploring decentralized learning in IoTs and enhancing data security through Federated Learning.
🔍 Specializing in the development and deployment of Large Language Models (LLMs) to solve complex NLP tasks.

Projects

[Email Intent Classification Model]

Description: A brief description of what the project does.
Technologies Used: Python, TensorFlow, React
Key Features:
- Integrated AI models with a user-friendly web interface
- Deployed using Docker and Kubernetes for scalability

[Recommendation System]

Description: A brief description of what the project does.
Technologies Used: PyTorch, Node.js, Express
Key Features:
- Implemented advanced NLP algorithms using LLMs
- Developed RESTful APIs for seamless integration with other services

Collaborations

💞️ I'm on the lookout for collaborative opportunities, particularly in research areas related to decentralized learning in IoTs and enhancing the security of edge devices' data through Federated Learning. Additionally, I'm eager to collaborate on projects involving Large Language Models (LLMs) to push the boundaries of what's possible in NLP.

Get in Touch

📫 Feel free to connect with me on LinkedIn for a deeper dive into my professional journey.
📧 You can also reach out via email.

Let's code, learn, and innovate together! 🚀

MAHENDRA SINGH RAJPOOT's Projects

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

applied-machine-intelligence-project

awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

bayesian-statistics

This repository holds slides and code for a full Bayesian statistics graduate course.

biggest_nlp_meta

Repo for external large-scale work

conceptualclassics

Curated list of Classical Kaggle Notebooks on DS / ML Concepts

deeplearning_101

A repository based on the courser taught by the deep learning.

dsa_python

Everything related to data structure in python

fate_federatedlearning

An Industrial Grade Federated Learning Framework

federated-learning

Federated posterior averaging implemented in JAX

federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.

gcp-essentials

Example gcloud statements and service info for GCP services

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.