ADITYA JOSHI

I design, build, and evaluate AI/data systems for behavior, decision making, and impact.

About Me

I work with AI strategy, product leadership, and research depth to design and deploy data-intensive systems responsibly. My experience spans production ML, enterprise compliance systems, adaptive learning analytics, and human-centered AI products. I specialize in translating stakeholder needs and technical possibilities into clear product scope, evaluation frameworks, and implementation strategies.

A warm portrait of a thoughtful researcher surrounded by books and notes in a cozy study.

400+

6

Publications

Citations

Rigor precedes responsible deployment

We should not deploy AI just because it is technically possible. We first need to establish whether it is valid, useful, safe, and appropriate for the context.

PHILOSOPHY

EXPERIENCE

Over 10+ years of experience working in academia and companies.

I design & develop scalable AI/ML systems and user-facing features that have been used by millions of users in the domains of finance, recruitment, and eGovernance.

Member of Technical Staff

ZL Technologies

Data Scientist

Simility (Paypal)

Machine Learning Engineer (II)

PhenomPeople

2019 - 2021

2016 - 2019

2015 - 2016

AI-driven recruitment platform used by multiple Fortune-500 companies and millions of job-applicants.

eGovernance suite used by banks, government organizations, and large international companies.

Real-time human-in-the-loop fraud detection service for eCommerce applications.

Postdoctoral Researcher

NOLAI (@UU)

2026 - present

Honest Mirror, AI tool for training presentation skills. Adopted by two schools in Utrecht region.

PhD Candidate and Lecturer

Utrecht University

2021 - 2026

Research and development of data-driven educational systems to support motivation, engagement and self-regulated learning.

Resume

WHAT I WORK ON

An abstract icon representing human-centered AI with a human silhouette intertwined with digital circuits.

Human AI

Designing AI that truly understands people.

Machine Learning

Building models that learn from real data.

A strategic roadmap illustration highlighting AI product development milestones.

Visual of AI evaluation metrics and deployment pipelines on digital screens.

AI Strategy

Crafting plans to bring AI products alive.

GenAI Ops

Testing and launching generative AI solutions.

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I co-authored Hands-on Machine Learning with Python to help practitioners build real machine learning solutions using Python, Scikit-learn, and PyTorch.

Springer

Amazon

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Establish a rigorous, research-grounded foundation for your organization's AI initiatives, product evaluations, and responsible GenAI deployments.