Arindam Sarkar is a machine learning engineer and researcher with over five years of experience in NLP, deep learning, and data science. He holds a degree from IIT Bombay one of India's most rigorous engineering institutions and has worked across Mandara.AI, IPsoft, Megdap Innovation Labs, and Opex Analytics, building his expertise in applied ML across enterprise and research contexts.

At CogitX, Arindam contributes to the core AI and research layer of the platform, working on model evaluation, spectral transformers, and domain-aware agent design. His technical commentary spanning Bayesian inference, distributional shift, and AI-based weather forecasting reflects the depth he brings to research questions that have real production consequences.

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Writes about: Applied machine learning, NLP architecture, model uncertainty, and the research challenges behind production-grade AI systems.