Last year, we trained a model on customer data. A researcher showed they could reconstruct customer information from model outputs. After implementing privacy-preserving techniques across 10+ projects, I’ve learned how to protect sensitive data while enabling AI capabilities. Here’s the complete guide to privacy-preserving AI. Figure 1: Privacy-Preserving AI Techniques Overview Why Privacy-Preserving AI Matters: […]
Read more →LLM Request Batching: Maximizing Throughput with Parallel Processing
Introduction: Processing LLM requests one at a time is inefficient. When you have multiple independent requests, sequential processing wastes time waiting for each response before starting the next. Batching groups requests together for parallel processing, dramatically improving throughput. But batching LLM requests isn’t straightforward—you need to handle rate limits, manage concurrent connections, deal with partial […]
Read more →DevSecOps: Integrating Security into DevOps – Part 6
Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Threat Intelligence Threat intelligence is the process of gathering information about potential threats and vulnerabilities to an organization’s systems and applications. It involves collecting, analyzing, and disseminating information about potential threats, vulnerabilities, and threat actors. Threat intelligence includes the following […]
Read more →The Frontend Renaissance: Why 2025 Marks a Turning Point for Web Development
Something remarkable is happening in frontend development. After years of framework fatigue and build tool complexity, we’re witnessing a genuine renaissance—a convergence of mature tooling, refined patterns, and developer experience improvements that’s fundamentally changing how we build web applications. Having spent over two decades watching frontend evolution from table-based layouts to the current ecosystem, I […]
Read more →LLM Error Handling: Building Resilient AI Applications
Introduction: LLM APIs fail. Rate limits get hit, servers time out, responses get truncated, and models occasionally return garbage. Production applications need robust error handling that gracefully recovers from failures without losing user context or corrupting state. This guide covers practical error handling strategies: detecting and classifying different error types, implementing retry logic with exponential […]
Read more →The Evolution of .NET: Why Modern C# Development Feels Like a Different Language
If you’ve been writing C# for more than a decade, you’ve witnessed something remarkable: the language you learned in the early 2000s bears only a superficial resemblance to what we write today. Modern C# development feels like a different language entirely. C# Syntax Evolution: 2002 vs 2025 The Transformation Journey When .NET Framework first appeared, […]
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