Hi, I'm Gaurav J - ML, Infra, Gen AI
I thrive on architecting and scaling massive ML systems, pushing the boundaries of what's possible with deep learning and Generative AI. My passion lies in building robust infrastructure that handles immense scale and complexity, particularly in fast-paced, innovation-driven environments.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at IBM Research, gaining foundational experience in advanced technology.
Architecting and scaling high-performance machine learning systems for applications handling over a million queries per second.
Can share insights on building and scaling distributed ML systems and advise on architectural decisions for high-throughput applications.
🚀 Career trajectory
Foundational Research & Engineering
Began career with an internship at IBM Research, laying a strong academic and experimental foundation.
✦ Research Intern
✦ Computer Science Fundamentals
Scaling Consumer Technologies
Gained extensive experience at Amazon and Google, focusing on building and scaling large-scale software systems for consumer applications.
✦ Software Engineer
✦ Distributed Systems
✦ Scalability
Advancing ML and AI Frontiers
Currently focused on applying deep learning and generative AI to solve complex problems, pushing the boundaries of ML infrastructure.
✦ Machine Learning
✦ Deep Learning
✦ Generative AI
✦ LLMs
💪🏻 Superpowers
Architecting Massive Scale ML Systems
Proven ability to design and implement ML infrastructure exceeding 1M qps.
✦ Experience building distributed systems for ad serving and search at Google.
✦ Deep understanding of concurrency, algorithms, and large-scale data processing.
✦ Skilled in deep learning frameworks like TensorFlow and developing LLMs.
Pioneering Generative AI Solutions
Driving innovation in the rapidly evolving field of Generative AI.
✦ Focus on developing and deploying Large Language Models (LLMs).
✦ Leveraging deep learning for advanced AI applications.
✦ Staying at the forefront of cutting-edge AI research and development.
Bridging Research and Production
Translating foundational computer science principles into practical, scalable software.
✦ Experience in software engineering roles at top tech companies.
✦ Strong background in algorithms, object-oriented design, and C++.
✦ Applied knowledge of distributed systems and cloud computing.
I'm excited about
✦ Exploring collaborations on novel applications of Generative AI.
✦ Seeking to connect with innovators in large-scale ML infrastructure.
✦ Looking to engage with emerging trends in AI research and deployment.
I can help with
✦ Share insights on building and scaling distributed ML systems.
✦ Advise on architectural decisions for high-throughput applications.
✦ Discuss strategies for integrating deep learning into production environments.
I would love your help on
✦ Identify potential research partners in novel AI fields.
✦ Find emerging startups in the AI and ML infrastructure space.
✦ Discover opportunities for cross-industry collaboration in AI innovation.