Anurag Verma(he)

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• Developed and maintained Python (Django/FastAPI) backend services powering the DataWars EdTech platform serving thousands of active learners globally
• Integrated AI-driven features using LLM APIs (function calling, automated feedback) into production, reducing manual instructor effort on challenge review workflows
• Collaborated with React frontend team on full-stack feature delivery across bi-weekly sprint cycles, contributing to both API design and UI integration

• Led a cross-functional team of 3–5 contributors to plan, review, and ship platform features and data science curriculum content
• Managed sprint planning, technical roadmap, and stakeholder reporting for a remote team spanning multiple time zones
• Drove platform quality initiatives that reduced learner-reported bugs by approximately 30% over the course of the role
• Served as the primary technical decision-maker for content architecture, Python tooling, and assertion framework design

• Designed and delivered 100+ Python and Data Science projects (Pandas, Matplotlib, SQL, Scikit-learn) powering DataWars' core curriculum, directly improving learner completion rates
• Built an automated Python assertion framework for self-graded challenges, reducing manual content review time by approximately 60%
• Implemented a comprehensive QA framework that reduced content error rates by approximately 40%, improving platform content satisfaction scores
• Proactively resolved 200+ community-reported issues, maintaining platform reputation and a seamless learner experience
• Established a delivery tracking system that minimized project delays and ensured consistent sprint timelines across the content team

• Delivered 20+ client projects across ML model development, computer vision systems, and full stack web development — maintaining a 100% Job Success Score throughout
• Built and deployed ML/DL models using TensorFlow, PyTorch, and Keras on AWS, Azure, and Heroku for clients across multiple industries
• Developed REST API backends using Python/Django for custom SaaS dashboards and client-facing web applications
• Maintained an average client engagement duration of 3+ months, demonstrating consistent delivery quality and client satisfaction

• Merged 4 pull requests into Ivy's open-source unified ML framework, contributing backend API support for NumPy, TensorFlow, PyTorch, and JAX
• Wrote comprehensive unit tests and hypothesis-based test cases to ensure cross-framework correctness for core tensor operations
• Collaborated with a global open-source community of 50+ engineers to improve TensorFlow frontend API compatibility and performance

Merged PRs:

1. https://github.com/ivy-llc/ivy/pull/1502
2. https://github.com/ivy-llc/ivy/pull/13588
3. https://github.com/ivy-llc/ivy/pull/7758
4. https://github.com/ivy-llc/ivy/pull/6569

Contributed to a team project involving the migration of a codebase to the latest version of Python, demonstrating strong coding skills and attention to detail.

Merged PRs:

1. https://github.com/oppia/oppia/pull/13969
2. https://github.com/oppia/oppia/pull/14279
3. https://github.com/oppia/oppia/pull/14338
4. https://github.com/oppia/oppia/pull/14640
5. https://github.com/oppia/oppia/pull/14657