Hi, I'm Arjun Rao - Software Engineer, working on AI/ML and Recommendations at Netflix | Ex-Microsoft
I thrive on building the AI infrastructure that powers personalized experiences, transforming complex ML models into scalable applications. I'm passionate about tackling large-scale data challenges and collaborating to push the boundaries of machine learning and recommendation systems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Engineered ML infrastructure for personalized content recommendations at Microsoft.
Currently driving innovation in personalized experiences on Netflix's core recommendations team.
Can share insights on building and scaling recommendation systems and MLOps.
š Career trajectory
Foundational Research & NLP
Began career with NLP engineering roles and research in emotive computing.
ā¦ NLP Engineer
ā¦ Research Assistant
ā¦ Emotive Computing
ML Infrastructure at Scale
Transitioned to building ML infrastructure for large-scale content recommendations at Microsoft.
ā¦ Software Engineer II
ā¦ ML Infrastructure
ā¦ Content Recommendation
Core Recommendations at Netflix
Currently driving innovation in personalized experiences on Netflix's core recommendations team.
ā¦ Software Engineer
ā¦ Machine Learning
ā¦ Recommender Systems
šŖš» Superpowers
Pioneering Recommendation Systems
Designing and implementing the backbone of personalized user experiences
ā¦ Crafting infrastructure for Netflix's core recommendation algorithms.
ā¦ Leveraging state-of-the-art ML for personalized content delivery.
ā¦ Expertise in recommender systems and distributed computing.
Bridging ML Theory and Production
Translating complex ML models into scalable, real-world applications
ā¦ Building robust ML infrastructure at Microsoft for MSN/Microsoft Start.
ā¦ Focus on operationalizing ML models in production environments.
ā¦ Deep understanding of MLOps and LLMOps principles.
Full-Stack Engineering Acumen
Proficient across the entire software development lifecycle
ā¦ Skilled in diverse programming languages and full-stack development.
ā¦ Experience with web, mobile, and database technologies.
ā¦ Architecting scalable and maintainable software solutions.
I'm excited about
ā¦ Collaborating with peers to explore advancements in LLMs and foundation models.
ā¦ Seeking opportunities to connect with leaders in AI/ML infrastructure and strategy.
ā¦ Exploring new research avenues and potential startup collaborations in AI.
I can help with
ā¦ Share insights on building and scaling recommendation systems.
ā¦ Offer expertise in MLOps and deploying machine learning models.
ā¦ Provide guidance on software architecture for distributed systems.
I would love your help on
ā¦ Connect with researchers exploring novel applications of LLMs in media.
ā¦ Identify emerging trends in AI ethics and responsible ML deployment.
ā¦ Find mentors with experience in scaling AI startups.
