Aryan Chaurasia
Heading Technology at House Of Edtech
Indore, Madhya Pradesh, India
Summary
🤩
Rockstar🎓
Top SchoolAryan Chaurasia is a results-driven Fullstack developer and Head of Technology with 8 years of experience building cloud-native, data-driven products using Next.js, React, Node.js and modern JavaScript tooling. He has architected systems that support $5M+ monthly ad spend, cut downtime by 98%, and shipped serverless payment and certificate pipelines that materially improved conversion and delivery times. Comfortable across infra, frontend and ML, he built a multimodal AI chatbot serving 15K+ daily users with sub-200ms latency and contributed to the PAIR-code LIT project by integrating TyDiQA models via Hugging Face and Flax. He mentors engineering teams, accelerating onboarding and reducing error rates, while also running high-scale LMS and analytics platforms used by 100K+ students. Based in Indore, India, Aryan blends hands-on product delivery with applied AI work—his open-source ML contributions highlight a rare ability to move models from research into interactive tooling.
8 years of coding experience
3 years of employment as a software developer
High School, High School, 88%, High School, High School, 88% at Govt. School of Excellence, Chhatarpur (M.P.)Certified Cloud DevOps, Cloud Computing, Certified Cloud DevOps, Cloud Computing at upGrad.comBachelor of Technology - B.Tech, CSE - Artificial Intelligence & Machine Learning, 8.76, Bachelor of Technology - B.Tech, CSE - Artificial Intelligence & Machine Learning, 8.76 at Oriental Institute of Science & TechnologyHigher Secondary, 70.2%, Higher Secondary, 70.2% at Rani Durgawati H.S. School Chhatarpur
Github Skills (12)
transformers10
huggingface-transformers10
transformer10
machine-learning10
nlp10
integrate10
python10
integrations10
data-integration10
question-answering9
flax9
tensorflow8
Programming languages (12)
Github contributions (5)
PAIR-code/lit
Jun 2022 - Aug 2022
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 74 commits, 8 PRs in 1 month
Contributions summary:Aryan primarily contributed to the development and modification of models, specifically integrating a TyDiQA model within the LIT framework. Their work involved adapting and refactoring existing T5 and BERT-based models, including the use of Hugging Face Transformers and Flax, to function within the LIT environment. The commits also reflect debugging and refinement efforts aimed at producing correct model outputs and generating necessary metrics, like Rouge scores.
ml-modelspythoninterpretabilitydata-sciencedeep-learning
aryan1107/lit
Apr 2022 - Sep 2022
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
Contributions:36 PRs, 153 pushes, 3 branches in 5 months
nlpunderstandinginterpretabilitybertagnostic
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