Alireza Pourmahdavi

Boost Efficiency with TinyLlama: Unlock Llama 2, Flash Attention 2, SwiGLU

By Alireza Pourmahdavi October 17, 2025

Introduction TinyLlama, built on Llama 2’s architecture, is revolutionizing the AI landscape with its compact yet powerful design. This language model, pre-trained on an impressive 1 trillion tokens, offers exceptional computational efficiency while outperforming similar-sized models. With advanced optimizations like Flash Attention 2 and SwiGLU, TinyLlama ensures faster training speeds and reduced memory usage. For […]

Connect PostgreSQL with Python: Secure Database Access Using Python-dotenv

By Alireza Pourmahdavi October 17, 2025

Introduction Connecting Python with PostgreSQL is a powerful way to manage and retrieve data securely. By using the python-dotenv library to handle credentials, you can ensure that sensitive information like database usernames and passwords remains safe in your development environment. This step-by-step guide will walk you through setting up Python, PostgreSQL, and python-dotenv to establish […]

Connect PostgreSQL Database with Python: Use python-dotenv and pg8000

By Alireza Pourmahdavi October 17, 2025

Introduction Connecting a PostgreSQL database with Python is a powerful way to interact with data securely. In this article, we’ll show you how to use the python-dotenv library to store sensitive credentials in a .env file, and leverage the pg8000 library to establish a secure connection with your PostgreSQL database. This approach ensures your credentials […]

Optimize Model Quantization for Large Language Models on AI Devices

By Alireza Pourmahdavi October 17, 2025

Introduction Model quantization is a powerful technique that optimizes large language models for deployment on AI devices, such as smartphones and edge devices. By reducing the precision of machine learning model parameters, model quantization significantly decreases memory usage and enhances processing speed, making sophisticated AI applications more accessible on resource-constrained devices. This technique, including methods […]

Optimize Model Quantization for Large Language Models on Edge Devices

By Alireza Pourmahdavi October 17, 2025

Introduction Model quantization is a game-changing technique for optimizing large language models (LLMs) and deploying them efficiently on edge devices, smartphones, and IoT devices. By reducing the size and computational demands of machine learning models, model quantization enables AI to perform faster, with lower power consumption and minimal sacrifice to accuracy. This process involves adjusting […]

Optimize NLP Models with Backtracking: Enhance Summarization, NER, and Tuning

By Alireza Pourmahdavi October 17, 2025

Introduction Backtracking algorithms are a key tool for optimizing NLP models, helping navigate complex solution spaces and improve tasks like text summarization, named entity recognition (NER), and hyperparameter tuning. While these algorithms offer an exhaustive search for the best solution, they can be computationally expensive. However, techniques like constraint propagation, heuristic search, and dynamic reordering […]

Master Python Map Function: Use Lambda & User-Defined Functions

By Alireza Pourmahdavi October 17, 2025

Introduction The Python map() function is an essential tool for processing data iterables efficiently. By applying a given function to each item in an iterable, it returns an iterator with the results, making it a powerful asset for handling large datasets. Whether you’re using lambda functions, user-defined functions, or built-in functions, map() helps streamline the […]

Optimize NLP Models with Backtracking, Text Summarization, and More

By Alireza Pourmahdavi October 17, 2025

Introduction Optimizing NLP models requires a strategic approach, and backtracking is one of the most effective techniques for improving performance. By systematically exploring potential solutions and discarding ineffective paths, backtracking helps in tasks like text summarization, Named Entity Recognition, and hyperparameter tuning. With its ability to evaluate and refine model configurations, this method is a […]

Master Vision Transformers for Image Classification: Boost Performance Over CNN

By Alireza Pourmahdavi October 16, 2025

Introduction “Vision transformers have revolutionized the way we approach image classification, offering significant advantages over traditional convolutional neural networks (CNNs). Unlike CNNs, which focus on local features, vision transformers (ViTs) divide images into patches and use self-attention to capture global patterns, leading to higher accuracy and performance. In this article, we’ll explore how ViTs work, […]

Boost YOLOv8 Object Detection

By Alireza Pourmahdavi October 16, 2025

Introduction To get the most out of YOLOv8’s advanced object detection capabilities, configuring it to leverage GPU acceleration is essential. By tapping into GPU power, YOLOv8 can significantly speed up both training and inference, making it ideal for real-time object detection tasks. This guide will walk you through the necessary hardware, software, and driver setups, […]

Alireza Pourmahdavi

I’m Alireza Pourmahdavi, a founder, CEO, and builder with a background that combines deep technical expertise with practical business leadership. I’ve launched and scaled companies like Caasify and AutoVM, focusing on cloud services, automation, and hosting infrastructure. I hold VMware certifications, including VCAP-DCV and VMware NSX. My work involves constructing multi-tenant cloud platforms on VMware, optimizing network virtualization through NSX, and integrating these systems into platforms using custom APIs and automation tools. I’m also skilled in Linux system administration, infrastructure security, and performance tuning. On the business side, I lead financial planning, strategy, budgeting, and team leadership while also driving marketing efforts, from positioning and go-to-market planning to customer acquisition and B2B growth.