Talha Azim

I am an Applied AI Engineer specializing in scaling LLM-driven systems, custom RAG pipelines, and deep learning architectures. As a US citizen currently residing in the EMEA/Asia timezone band, I offer companies the legal simplicity of a US hire with the async advantages of a distributed timezone.

My sweet spot is bridging the gap between raw research and production intelligence using the Python ecosystem. I don't just train models; I build the pipelines that make them usable, fast, and scalable.

Recent Engineering Impact:

• Enterprise RAG Architecture: Designed and deployed a custom conversational AI agent using RAG for the Bank of Punjab, turning highly unstructured, complex enterprise data into reliable LLM workflows.

• Predictive Infrastructure: Engineered a real-time Log Anomaly Detection System that reduced manual monitoring by 40%, implementing a continuous feedback loop to dynamically retrain models on new anomaly patterns.

• Data Pipeline Optimization: Improved downstream model training accuracy by 15% through rigorous, automated data preprocessing and annotation pipelines.

I am looking to join a fast-moving, technically rigorous team where I can take ownership of complex data problems and build AI solutions that directly impact the bottom line.