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My Journey as a Manager: Struggles, Lessons, and Growth
Stepping into a management role at a startup was a whirlwind—zero context, late-night deployments, and constant uncertainty. But through the chaos, I’ve learned invaluable lessons about leadership, resilience, and growth.…
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Sharing Data in Gunicorn+Flask Applications
Flask and Gunicorn are Python packages that are used together to serve various services at scale. Flask is a light-weight web application framework which in combination with Gunicorn, a WSGI server, becomes capable…
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Creating an NGINX Image Cache: A Step-by-Step Guide
I would like to share my experience creating an image cache using NGINX and the numerous features it provides. Working with images in particular introduces complexities regarding storage as images…
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Modern System Design for AI Generation Requests
The rise of AI generation APIs has transformed backend handling, requiring longer processing times and promoting interactive user experiences. Key design patterns now include synchronous requests, asynchronous polling, and streaming…
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Local MCP Server Development: A Quick Start Guide
If you are building agents or tools for the Model Context Protocol (MCP), you eventually need to move beyond theory and run things locally. This guide covers how to set…
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Building the Universal Brain: A Lightweight Context Holder with MCP
The project focuses on developing a Universal Context Holder to enhance AI agents’ memory management by consolidating fragmented information from various applications. It utilizes the Model Context Protocol for efficient…
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From Product Guy to Influencer: A Growth Journey
I’ve always been a “product guy.” From early-stage B2B startups to legacy systems, my philosophy was simple: Build the right product, and it will sell itself. I bought into the…
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Dynamic Checkpoint Swapping for ML models
Dynamic checkpoint swapping in PyTorch enables efficient deployment of multiple machine learning models by loading checkpoints as needed, reducing infrastructure costs, and optimizing memory usage.
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Scaling Image Throughput with an NGINX-Based Cache
With over 600 million images to index for downstream services like search and personalization, we faced a fundamental bottleneck in how our system accessed and served images. This post dives…
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Optimizing Image Search: Traditional vs. Machine Learning Methods
In this post, I’ll share how we approached the challenge of ranking image search results by combining traditional IR techniques with machine learning. Our system needed to handle multiple data…
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How Shape Up Almost Killed the Team
Choosing the wrong software development methodology can lead to burnout, frustration, and team dysfunction. Our experience with Shape Up nearly dismantled our startup team. Learn how we adapted, avoided software…
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