I'm a builder/practioner and engineer specializing in Agentic AI and Large-Scale Machine Learning Systems. My work focuses on building intelligent agents that can reason, autonomously perform complex tasks, and significantly boost practitioner productivity.

• Agentic AI: Building intelligent agents with reasoning capabilities for autonomous task execution
• Scalable ML Systems: Developing production-ready solutions that bridge research and real-world applications
• LLM Applications: Exploring practical applications of large language models in production environments

• Real-time and scalable feature stores
• Early-stage recommendation systems
• Multi-objective ranking and candidate retrieval optimization
• Production ML pipelines and systems

• Large-scale machine learning systems
• Intelligent automation and productivity tools
• Human-AI collaboration systems

My work has been featured at top-tier conferences:

• WWW - World Wide Web Conference
• RecSys - ACM Conference on Recommender Systems
• SIGIR - International ACM SIGIR Conference on Research and Development in Information Retrieval
• CIKM - ACM International Conference on Information and Knowledge Management

• 🎤 Keynote Speaker - Industrial track at FIRE 2023 Conference (Goa, India)
• 📋 Program Committee Member - Industry track at CIKM 2024
• 🏆 US Patent Holder - Human-assisted chatbot conversations
• 📖 Book Co-author - Practical guide for applying machine learning to real-world problems

expertise = {
    "AI/ML": ["Deep Learning", "NLP", "Recommendation Systems", "Ranking Algorithms"],
    "Systems": ["Distributed Systems", "Real-time Processing", "Feature Engineering"],
    "Tools": ["TensorFlow", "PyTorch", "Apache Spark", "Kubernetes"],
    "Languages": ["Python", "GoLang", "SQL", "NodeJS"]
}

Building intelligent agents that can autonomously handle complex workflows and boost developer productivity.

Developed a real-time feature store handling millions of requests per second for ML model serving.

Optimized candidate retrieval systems balancing multiple business objectives in production environments.

• 🌐 Website
• 💼 LinkedIn
• 𝕏 Twitter
• 📧 Email

I'm passionate about contributing to the broader ML community and helping practitioners, especially those new to the field, apply machine learning to diverse real-world problems. Feel free to reach out if you're interested in:

• Collaborating on agentic AI or ML systems projects
• Discussing research ideas in recommendation systems or ranking
• Contributing to open-source ML infrastructure
• Learning about production ML best practices

"Building intelligent systems that augment human capabilities and drive meaningful impact."