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Actively Learning, Un-Learning and Re-Learning
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Actively Learning, Un-Learning and Re-Learning

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muhammad-ahsan/README.md

Muhammad Ahsan πŸ‘‹

Welcome to my GitHub profile!

πŸ”­ Current Focus:

I’m currently focused on enhancing existing machine learning systems to comply with organizational quality gates and governance standards.

πŸ‘¨β€πŸ’» What I Do:

I build and deploy machine learning systems that are performant, reliable and sustainable. By creating end-to-end, fault-tolerant AI pipelines, I enable businesses to make data-driven decisions that drive real value β€” all while making sure the solutions are secure and perform well.

❀️ Interests:

Architecting scalable, fault-tolerant and cost-optimized cloud based solutions to cater requirement of real-time machine learning applications.

🌱 Professional Growth:

Continuously enhancing my skills in deep learning, LLMs and exploring new methodologies in reinforcement learning.

πŸ“« 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!

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  1. serverless-thumbnailizer serverless-thumbnailizer Public

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

    Python

  2. autotweet autotweet Public

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

    Python

  3. sentiment-sage sentiment-sage Public

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

    Python

  4. theft-radar theft-radar Public

    Bike theft incidents visualisation for major cities

    Python

  5. workswap workswap Public

    A command line tool to switch development environments with ease.

    Shell

  6. phonetisch phonetisch Public

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

    Python 3 1