Abhishek Jha | Freelancer & ethical hacker

Personal Reflections & Tech Insights

Blogs

Aug 20, 2026 5 min read

Synthetic Data: Training AI without real data

AI models need data, but real data is often scarce, private, or biased. Synthetic data generation offers a way to train models using artificially created data.

Aug 18, 2026 4 min read

ML Supply Chain Security: Beyond the Model

Securing an ML system goes beyond the model itself. Protecting the entire supply chain, from data to deployment, is crucial for integrity and reliability.

Aug 16, 2026 6 min read

Multi-Modal AI: It's Not Just About More Models

Building multi-modal AI systems means combining different data types or models. It's more complex than just chaining components; true integration is the real challenge.

Aug 15, 2026 5 min read

Serving Fresh AI Features: The Real-time Store Connection

Real-time feature stores bridge streaming data with AI models, solving staleness and training-serving skew for low-latency predictions.

Aug 14, 2026 6 min read

Idempotency Makes Retries Safe in Distributed Systems

Building reliable distributed systems means handling failures. Idempotency ensures operations can be retried without unintended side effects, making your system much more resilient.

Aug 12, 2026 6 min read

Orchestrating LLM Workflows in Serverless

Building real-world LLM applications often means chaining multiple prompts, conditional logic, and retries. Serverless functions need orchestration to manage this state and complexity.

Aug 11, 2026 5 min read

Scaling Reinforcement Learning in Production

Moving RL agents from research to production brings unique challenges. It's not just about the model, but the entire system around it.

Aug 10, 2026 6 min read

Taming AI Microservices with a Service Mesh

AI workloads bring new complexity to microservices. A service mesh can help manage traffic, observability, and security for these demanding systems.

Aug 09, 2026 6 min read

Catching Silent Failures in ML Pipelines

Your ML pipeline might be green, but your model could be failing silently in production due to data issues. Data observability helps you catch these problems.

Blogs

Abhishek's AI Clone