Rithesh

Rithesh

Software Developer

Background

I'm a Machine Learning Researcher and Infrastructure Engineer with experience building ML systems at scale. My work spans deep learning research, production ML infrastructure, 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 intelligent systems.

Experience

Founding Engineer - Infrastructure & Platform

Accretional • San Francisco, CA

Full-time

Building cloud infrastructure at Accretional. Working on systems across Petros (container runtime), Collector (data layer), Brilliant (agentic IDE), and Statue (static site generator).

AI Engineering Intern

Accretional • San Francisco, CA

Internship

Built 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-time

Led 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-time

Built LSTM-based time series models for loan repayment forecasting. Developed COVID-19 impact analysis models for lending risk assessment.

Machine Learning Research Intern

Sprinklr • Gurgaon, India

Internship

Built 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

Key Skills

Python
TypeScript
Go
JavaScript
PyTorch
LLMs
Computer Vision
NLP

Interested in working together?