Hi, I'm Harshita Jain - LLM Serving @ Microsoft AI | Ex-Google
I'm driven by pushing the boundaries of AI, especially in LLM serving and scalable platforms. I thrive in fast-paced environments where I can translate complex technical challenges into robust, production-ready AI solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at Amazon Web Services, contributing to their deep learning initiatives.
Led technical initiatives for Vertex AI Search at Google, driving advancements in AI search.
Can help others by offering insights into scalable LLM serving architectures.
🚀 Career trajectory
Foundational Software Engineering
Began career with internships at SAP Ariba and Amazon Web Services, gaining broad experience in software development and AI.
✦ Internship
✦ Software Development
✦ Deep Learning
AI Platform Leadership
Took on a Tech Lead role at Google, driving significant advancements in AI search technologies.
✦ Tech Lead
✦ Vertex AI
✦ AI Search
LLM Serving Specialization
Currently advancing LLM serving capabilities at Microsoft AI, focusing on production-grade deployments.
✦ Microsoft AI
✦ LLM Serving
✦ Infrastructure
💪🏻 Superpowers
AI Service Deployment Expert
Bridging research to production-scale LLM services.
✦ Architecting and deploying large-scale language models.
✦ Optimizing inference performance for real-time applications.
✦ Ensuring reliability and scalability of AI infrastructure.
Scalable AI Platform Builder
Crafting robust foundations for AI-powered products.
✦ Led development for Vertex AI Search at Google.
✦ Designed and implemented distributed systems for AI workloads.
✦ Focus on efficient data processing and model integration.
Cross-Disciplinary AI Innovator
Integrating deep learning across diverse tech domains.
✦ Applied deep learning expertise at AWS AI.
✦ Contributed to enterprise solutions at SAP Ariba.
✦ Combines software development with cutting-edge AI research.
I'm excited about
✦ Exploring novel approaches to LLM inference optimization.
✦ Connecting with peers pioneering distributed AI systems.
✦ Identifying collaborators for next-generation AI deployment tools.
I can help with
✦ Offering insights into scalable LLM serving architectures.
✦ Advising on best practices for AI platform development.
✦ Sharing strategies for optimizing deep learning model performance.
I would love your help on
✦ Discovering emerging research in AI interpretability.
✦ Finding experts in novel AI hardware acceleration.
✦ Connecting with leaders in federated learning applications.
