Rajesh Thallam
Applied AI @ Google Cloud
This profile was put together from Rajesh's public GitHub portfolio, and they haven't joined Vibetown yet, so reach them through their portfolio. Is this you? Contact us to update or remove it.
About
Rajesh Thallam works in AI engineering and ML & data science, based in San Francisco, CA (GoogleCloudPlatform). Applied AI @ Google Cloud. Public projects on GitHub include MIDS-W207-FINAL-PROJECT (MIDS W207 Machine Learning Project - Bike Sharing Demand - Kaggle Competition), Tpu Vm On Gke (This code sample describes how to to run a Vertex AI Pipeline that launches jobs on Cloud TPU VM registered…) and Fastertransformer Converter (This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE)…), mostly written in Jupyter, HTML and Python.
Projects 6
- github.com
MIDS-W207-FINAL-PROJECT
MIDS W207 Machine Learning Project - Bike Sharing Demand - Kaggle Competition
- github.com
Tpu Vm On Gke
This code sample describes how to to run a Vertex AI Pipeline that launches jobs on Cloud TPU VM registered on GKE cluster.
- github.com
Fastertransformer Converter
This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE) cluster with GPUs running NVIDIA Triton Inference Server with FasterTransformer backend.
- github.com
Mlops With Vertex Ai Pytorch
About An end-to-end example of MLOps on Google Cloud using PyTorch, Kubeflow Pipelines SDK, and Vertex AI
- github.com
Coursera Practical Machine Learning
repository for courser data science specialization "Practical Machine Learning"
- github.com
Job Fiction
Repo for MIDS Capstone Project - "Job Fiction"