Rithesh
Research Engineer · ML inference systems & open-source AI
Background
I'm a Founding Engineer building core infrastructure for agentic AI and cloud platforms, with experience building ML systems at scale. My work spans deep learning research, production ML infrastructure (embedding services, LLM serving, semantic search), and full-stack software engineering.
I've worked across organizations from startups to large enterprises, contributing to ML pipelines, model optimization, and the infrastructure that powers AI agents and intelligent systems.
Experience
Founding Engineer - Infrastructure & Platform
Accretional • San Francisco, CA
Full-timeAuthored openvino-go (open-source Go/CGO inference library for Intel OpenVINO), built gRPC embedding and vLLM serving infrastructure, and engineered hybrid vector search for AI agents.
AI Engineering Intern
Accretional • San Francisco, CA
InternshipBuilt core features for Brilliant, an AI coding assistant. Worked on RAG pipelines, LLM fine-tuning, and the extension's prompt and deployment systems.
Senior Machine Learning Scientist
Goldman Sachs • Bengaluru, India
Full-timeLed ML initiatives for real-time loan processing. Built A/B testing frameworks and optimized system performance at scale.
Machine Learning Scientist
Goldman Sachs • Bengaluru, India
Full-timeOptimized ML inference pipelines from 200ms to 80ms through quantization and caching. Built LSTM forecasting models and production systems handling 1M+ requests/month at 99.9% uptime.
Machine Learning Research Intern
Sprinklr • Gurgaon, India
InternshipBuilt LSTM-based sentiment analysis pipelines for social media data. Applied model pruning and quantization techniques for efficient deployment.
Education
Master of Science
University of California, Santa Cruz
Santa Cruz, CA
GPA: 3.9
Bachelor of Technology
National Institute of Technology Karnataka, Surathkal
Surathkal, India
GPA: 9.4