Hi, I’m Anshuman.

I’m a Machine Learning Engineer building at the intersection of classical engineering depth and AI orchestration.

Currently at Zomato, where I’m building and leading an AI evaluation platform and SDK—tackling one of the hardest problems in AI today.

I graduated from NIT Warangal in 2023 and have spent years contributing to the core of major open-source ML frameworks. My work spans from implementing foundational models from scratch to designing production ML systems at scale.

I’m also a Google Developer Expert in Machine Learning and write The Conductor—a newsletter for engineers learning to lead AI without losing the depth that makes their judgment irreplaceable.

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Who I’m Working With (Consultancy)

• Google → As an Independent AI Consultant, I support the Keras team by implementing state-of-the-art models in KerasHub and writing technical deep-dives on their usage.

Previous Clients (Consultancy):

• Weights & Biases (acquired by CoreWeave) → I focused on creating clear and compelling educational content for the machine learning community. I wrote in-depth articles, tutorials, and guides explaining complex ML concepts and demonstrating best practices using the W&B platform.

Experience

FlipAI → Tenth employee of the company and 2nd Machine Learning Engineer hired. My work involved the end-to-end ML lifecycle, from data preprocessing and model training to deployment and monitoring of core AI features. I also spent quite some time designing, building, and deploying applications & feature in a fast-paced production environment as per customer needs.

Google → Selected for the Google Summer of Code Program to work with the TensorFlow and Keras teams. Mainly worked on KerasHub (then KerasNLP), implementing models like Llama2, GPT NeoX from scratch and writing technical articles.

BNY Mellon → As a Data Science Intern, I gained hands-on experience within the financial services industry. My responsibilities included analyzing large datasets to uncover insights, building predictive models, and presenting my findings to support data-driven decision-making.

Amazon → During my Software Engineering internship at Amazon, I contributed to a team responsible for developing large-scale software systems. This experience provided a strong foundation in the software development lifecycle, including coding, debugging, and working with cloud infrastructure to deliver a project feature.