**Evaluation & Proof of Value** — Design and guide customer evaluation frameworks (evals) to measure AI performance for specific use cases. Create compelling demos, reference architectures, and lightweight POCs that demonstrate the art of the possible. Agree acceptance criteria for quality, latency, cost and reliability, linking evaluation results to customer business goals and a decision on production deployment
Develop intelligent summarization and information extraction pipelines that process thousands of scraped news articles, press releases, and open-source intelligence into concise, actionable market intelligence reports, leveraging techniques such as intelligent chunking, semantic filtering (embeddings + k-NN), map-reduce patterns, TF-IDF augmentation, and agentic orchestration.
Proficiency in programming languages commonly used in AI (such as Python, C/C++, or Java) and relevant ML frameworks (for example, TensorFlow, PyTorch, or similar).