Hello, Iām Ayush Thakur š
I currently work as aMachine Learning Engineer at Weights & Biases, focusing on building integrations, LLM applications, LLM system evaluations, educational content and more. The crux of my work is to grow our usebase and have played a crucial role in doing so. As one of the earliest hire in the growth team, I have been involved with multiple key integrations, initiatives, projects, and more.
Professional Experience
Machine Learning Engineer | Weights & Biases
2020 - Present
- Written multiple blog posts and tutorials on Deep Learning, MLOps, RAG, Evaluation and more. Check them out here.
- Reproduced research papers and wrote about them. Check them out here.
- Develop MLOps pipelines for popular open-source repositories/frameworks/orgs like Keras, OpenMMLab, Meta, XGBoost, and more.
- Develop LLMOps integrations with LLM providers like OpenAI, Cohere, CrewAI, and more.
- Built and evaluated wandbot, a Q&A RAG based chatbot.
- Created courses on LLM applications and MLOps.
- Lead the AI team in India and lead the OS integration efforts.
- Created and built our Kaggle Ambassador program. Became a Kaggle Notebooks Master in the process.
Certifications & Recognition
- Google Developer Expert in Machine Learning (TensorFlow Core) (Aug 2022 - Present)
- Kaggle Notebooks Master - Created numerous popular notebooks for competitions.
Skills
- Programming Languages: Python, TensorFlow, PyTorch
- ML/DL Domains: LLMs, Computer Vision, MLOps, RAG systems
- Tools & Platforms: Weights & Biases, Keras, HuggingFace, OpenMMLab
- Areas of Expertise:
- LLM application development and system evaluations
- Building and optimizing MLOps pipelines
- Technical content creation
- Deep learning model implementations
Education
Bachelor of Engineering in Electronics and Communication Engineering | Netaji Subhash Engineering College
2016 - 2020
Community Involvement
- Google Developer Group - Volunteer (Nov 2018 - Nov 2019)
- Robonix 2018 - Assistant Head for Line Follower competition (Feb 2018 - Mar 2018)
Courses Created
- RAG++: From POC to Production
- Training and Fine-tuning Large Language Models (LLMs)
Personal Interests
Iām passionate about open-source collaboration and enjoy discussing innovative ML approaches. In my free time, I love watching anime (Naruto is my all-time favorite, One Piece is love, and Solo Leveling is š„).
Feel free to reach out to me on Twitter or LinkedIn for collaborations or discussions!