muhammad-ahsan Goto Github PK

followers: 8.0 following: 27.0 repos: 28.0 gists: 58.0

Name: ahsan

Type: User

Bio: Helping organisations to harness machine learning to solve business challenges.

Location: Berlin, Germany

Blog: https://linktr.ee/muhammad.ahsan

Muhammad Ahsan 👋

Welcome to my GitHub profile!

🔭 Current Focus: Leading multiple data science and machine learning projects.

👨‍💻 What I Do:

Leveraging data to gain actionable insights and drive business value..
Develop scalable machine learning models and application.
Design and implement end-to-end machine learning pipelines.
Create and deploy comprehensive data processing workflows.

❤️ Interests: Architecting scalable, fault-tolerant and secure cloud solutions tailored for machine learning driven applications.

🌱 Professional Growth: Continuously enhancing my skills in deep learning, LLMs and exploring new methodologies in reinforcement learning.

📫 Contact Me:

I am open to consulting opportunities and collaborations. If you have a challenging problem that could benefit from data science and machine learning, let's connect!

ahsan's Projects

autotweet

Auto generate tweets powered by pre-trained GPT2 based large language model (LLM) available offline.

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

cancer-type-predictions

data-analyses

Public repository for sharing real world descriptive and prescriptive data analyses

datasets

Collection of new and/or enriched public datasets for public consumption

ga-recommender

Recommender service for Movie Lens dataset

ga-recommender-ux-simulator

Lambda function which simulates the front end user experience and interaction of clicking on multiple recommendation and sending an event in the message broker

gitignore

A collection of useful .gitignore templates

hands-on-explainable-ai-xai-with-python

Explainable AI with Python, published by Packt

intellisense

Intellisense implemented in python using multiple machine learning and baseline prefix trees based strategy

kubeflow-pipelines-hub

Machine learning pipelines running using Kubeflow over K8s

ml-aws-specialty-lab

AWS Certified Machine Learning Speciality

monte-carlo-simulation

Monte carlo simulation example for profit prediction.

movie_recommendation

muhammad-ahsan

phonetisch

Python implementation of phonetic algorithms including soundex and cologne process for German and English.

sample-pyproject

A sample python project which is used to setup production grade CI/CD pipelines via Jenkins

sentiment-client

User interface for sentiment analysis model

sentiment-client-ux

Streamlit based frontend for sentiment analysis

sentiment-sage

Dockerized nltk model which spits out sentiment score given a sentence using FastApi

serverless-thumbnailizer

An application for generating thumbnails, utilizing a serverless architecture on the AWS Cloud and implemented with Terraform infrastructure as code (IaC)