Amit Choubey

@amit-chaubey · User

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MSc AI | AWS SAA | CKA

UoLLondon, UK14 followers114 repositories

Repositories

amit-chaubey/qnabot-on-aws

AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.

★ 0Forks 0

amit-chaubey/gpt-from-scratch

GPT-style LLM built from scratch in PyTorch , multi-head attention, GQA, RoPE, RMSNorm, training loop with warmup + cosine decay. A simple, readable transformer implementation for learning how LLMs work.

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amit-chaubey/finetune-merged-lora-model-peft

A collection of Jupyter notebooks for fine-tuning small language models using LoRA and 4-bit quantization across multiple architectures (Phi, Gemma, DialoGPT, DeepSeek, SmolLM).

★ 1Jupyter NotebookForks 1

amit-chaubey/kindctl

A fast CLI to spin up local Kubernetes clusters using Kind and Docker.

★ 1ShellForks 0

amit-chaubey/mlops-docker-k8s-fastapi

A cloud-native iris ML inference service built with FastAPI, containerized using Docker, locally tested on Kubernetes (Minikube), and designed for scalable AWS deployment.

★ 3PythonForks 1

amit-chaubey/CKA-Certified-Kubernetes-Administrator

CKA Certification Exam Guide 2026 — study notes, practice questions, kubectl cheat sheet, exam tips, and full Kubernetes v1.35 syllabus breakdown. Covers etcd backup, RBAC, kubeadm, Gateway API, NetworkPolicy, troubleshooting, and killer.sh prep. Scored 89%.

★ 0ShellForks 0

amit-chaubey/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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