Abhishek Jha | Freelancer & ethical hacker

Personal Reflections & Tech Insights

Blogs

Aug 30, 2026 6 min read

Building Safe LLM Agents in Production

LLM agents offer powerful automation, but their inherent unpredictability makes production deployments tricky. Architecting for reliability and safety is crucial to avoid surprises.

Aug 29, 2026 6 min read

AI Models Decay. Here's How to Keep Them Useful

AI models degrade in production as data changes. Continual learning architectures offer strategies to keep models fresh and effective, but they add complexity.

Aug 28, 2026 5 min read

Graph Databases Boost AI Feature Engineering

Graph databases excel at modeling relationships, providing rich contextual features for AI models that tabular data often misses. Learn how leveraging graph structures can significantly enhance feature engineering.

Aug 27, 2026 5 min read

Zero-Knowledge Proofs: Keeping AI Private

Zero-Knowledge Proofs offer a way to secure AI models and data without revealing sensitive information. It's a powerful concept for privacy, but comes with practical tradeoffs.

Aug 26, 2026 6 min read

Causality in Production AI Systems

Observing correlations in AI system behavior is easy. Understanding the underlying causes is much harder but essential for robust production systems and effective debugging.

Aug 25, 2026 6 min read

Making Large AI Models Fit Small Hardware

Deploying powerful AI models on edge devices or resource-constrained hardware often means they're too big or too slow. Quantization and pruning are key techniques to shrink models while keeping them useful.

Aug 23, 2026 5 min read

Beyond Single Agents: Building Robust Multi-Agent AI

Building complex AI often means moving past single agents. Multi-agent systems can tackle harder problems, but they come with significant design challenges.

Aug 22, 2026 5 min read

ML Pipelines Break. Data Observability Helps

Building reliable ML pipelines is tough, and data issues are often the root cause. Data observability provides the visibility needed to catch problems early and prevent model failures.

Aug 21, 2026 5 min read

Vector Search Speed: Advanced Indexing

Vector search is powerful for similarity, but brute-force comparisons don't scale. Efficient indexing is the key to making it practical for large datasets.

Blogs

Abhishek's AI Clone