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udapy/README.md

Hi there! πŸ‘‹ I'm Uday Phalak

Machine Learning Engineer & Entrepreneur building the future of AI-powered solutions
Personal AI Blog

πŸš€ What I Do

  • Experienced in building recommendation systems and deploying GenAI/LLM solutions to production, with a passion for exploring emerging AI technologies.
  • Co-founder at Hazadapt Inc, building AI-powered solutions for disaster community engagement and emergency management.

Core Expertise

  • Recommendation Systems & Personalization - Building intelligent user experiences
  • LLM Evaluation & Operations - Ensuring AI systems perform reliably at scale
  • Distributed MLOps - Scaling machine learning from prototype to production

πŸ”¬ Current Focus

Learning & Building:

  • Advanced LLM evaluation methodologies and frameworks
  • Production-ready LLM fine-tuning pipelines
  • Distributed systems for large-scale ML operations

Research Interests:

  • πŸ”₯ LLM Evaluation - Developing robust assessment frameworks
  • 🦺 AI in Emergency Response - Leveraging technology for disaster management
  • πŸ‘ AI User Experience - Designing intuitive AI-human interactions

🀝 Let's Collaborate

I'm actively seeking collaboration opportunities in:

  • Open source research projects
  • Technical team building and leadership
  • Data engineering and science initiatives

Areas where I can help: MLOps architecture, product development strategy, design thinking processes, deep learning implementations, and LLM integration.

πŸ“š Continuous Learning

I'm an avid researcher who regularly dives into the latest papers.
You can follow my learning journey and technical insights on my
personal blog.

πŸ§˜β€β™‚οΈ Beyond Code

When I'm not building ML systems, you'll find me practicing and teaching yoga - I'm a certified Level 3 Patanjali Yoga instructor, bringing the same discipline and mindfulness to both my technical work and personal practice.


Let's connect: Twitter | Blog

Always open to discussing the intersection of technology, impact, and human-centered AI.

Pinned Loading

  1. hybrid-hopfield-network hybrid-hopfield-network Public

    Attention based Hopfield Network with Sparse Modern Hopfield network to improve robustness

    Python

  2. rusty-llm-jury rusty-llm-jury Public

    Rust based CLI tool for estimating success rates when using LLM judges for evaluation.

    Rust 1