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manupanand
developerDevOps Engineer@ BLP Industry.AI| GCP|AWS|AZURE|Terraform|Ansible|Kubernets|Docker|Helm |SRE|Prometheus|Grafana|ELK|Jenkins|Github Actions|
Public projects
qwen2.5-unsloth-qlora-finetune
A personal project where I fine-tuned **Qwen-2.5-7B** using **Unsloth + QLoRA** on an **AWS g6.xlarge instance** (NVIDIA L4, 24 GB VRAM). The goal was to learn and implement memory-efficient LLM fine-tuning end-to-end on a single GPU — from environment setup to training to exporting the final model.
JavaScript
learn-llm
my repo of codes with learning llm rags etc
Python
llm-quantization-playbook
Production-grade LLM quantization and deployment pipeline for NVIDIA GPU infrastructure. Covers FP8 (L4, H100) and NVFP4 (GB200) precision targets using TensorRT-LLM and NVIDIA ModelOpt.
Python
ai-gpt-chatmodel-prjt-2025-02
langchian js chat model application using typescript
TypeScript
ai-agent-prjt-2025-03-weather
ai agent LLM javascript weather application
TypeScript
llm-prjt-2025-04-model-prompts-parser
llm langchain models prompts parser
Python
Likely stack
OpenAILangChain
