abideenml,Zain ul Abideen,zaynismm,github

👋 Hi, I'm Zain ul Abideen

I design, build, and operate machine learning systems that serve customers at scale. Currently, I'm an LLMs Consultant helping companies/labs/startups to seamlessly integrate ML into their infrastructure. My goal is to enhance customer engagement and maximize profitability through the strategic integration of machine learning solutions. Outside of work, I also...

📝 Write about generative ai, machine learning systems, and engineering.
📌 Curate papers, guides, and company blogs on how to apply machine learning.
🪩 Discuss and Share about conferences, webinars on machine learning in industry.
📬 Send a newsletter about generative AI, machine learning, and what I'm learning.
🤖 Try to build an ML community on discord to share about research updates, medium blogs, conferences, webinars, and AI literature.
🌱 In 2024 I'm learning: LLMs, Diffusion models, and Production grade scalable ML systems

📝 Recent Writing

Schedule-Free Learning — A New Way to Train Models - Thur, 18 Apr 2024
Llama-Bitnet | Training a 1.58 bit LLM - Thur, 4 Apr 2024
ORPO Outperforms SFT+DPO | Train Phi-2 with ORPO - Thur, 22 Mar 2024
Multi-GPU Training of 70B LLM with Deepspeed and FSDP+Qlora - Thur, 14 Mar 2024
Complete Roadmap For Learning Diffusion Models (Prereqs, DDPM, Stable Diffusion, Dreambooth, and More!) - Tue, 26 Sep 2023

View the archives (35 posts) @ zain.com.

Zain ul Abideen's Projects

customerpersonalityanalysis-with-kmeans-acm-ms-dbscan

This repository contains the Personality Analysis 🧐 of customers of a Grocery store 🏬 with K-means, Agglomerative, Mean shift, DBSCAN clustering. Data preprocessing -> feature engineering -> visuzalization after PCA -> clustering -> profiling.

dashboards-ofmy-medicalresearchpaper-and-worldtrade

This repository contains two Data Analytics 📊 Dashboards and their data pipelines. First dashboard and pipeline is of World 🌍 trade of commodities and second is of my Medical Research 🔬 paper regarding the "Counselling of Medical Students a Supportive Tool" (Fauzia et al.).

detecting-socialengineering-attacks

Detecting ☎️ Telephone-based Social Engineering Attacks Using Document 📑 Vectorization (Doc2Vec, Universal Vector Encoder), Clustering (K-means, DBSCAN, EM) and Classification of Scam Signatures

end2end-recommendation-engine_

🚀 End to End Movie Recommendation system built with NextJS, Flask, MySQL, TailwindCSS and AWS 🛸. Performs 📝 Content based, Collaborative and Neural Collaborative recommendations. --> Ongoing project

kedro-mlops-pipeline

Churn Prediction with Kedro, Kedro-Viz, and Kedro-Mlflow ❄️ 👨. PowerBI Dashboard 📊 also included. Kedro🔗 https://kedro.org/

realtime-starratingprediction-with-awskinesis

This repository contains an End to End Real time 🕰️ Machine Learning Pipeline to predict star ⭐️ rating of product reviews. This project uses AWS Sagemaker, Kinesis, Lambda, S3, Redshift, Athena, and Step functions. Deployment of multiple models for AB testing and Bandit testing is also included.

retinalvesselsegmentation

Predicting heart disease 🦠 with Retinal Vessel 🚢 Segmentation using Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) and Attention R2U-Net (Zahangir et al.) -> Ongoing Research..