DevOps Engineer@ BLP Industry.AI| GCP|AWS|AZURE|Terraform|Ansible|Kubernets|Docker|Helm |SRE|Prometheus|Grafana|ELK|Jenkins|Github Actions|Bash |MLOPs|Python|
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BLP Industry.AI
AWS
June 13, 2026 – Present
zero-trust-oidc-hybrid-deploy
April 25, 2026 – Present
A production-grade reference implementation demonstrating how to securely deploy code from a cloud control plane (GCP) to on-premise infrastructure with **zero inbound connectivity, zero standing credentials, and zero VPN** — using OIDC, Workload Identity Federation, and pull-based Ansible automation.
View Projectqwen2.5-unsloth-qlora-finetune
April 8, 2026 – Present
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.
View Projectllm-quantization-playbook
April 2, 2026 – Present
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.
View Projectqemu-kvm-libvirt-terrform
January 25, 2026 – Present
terrform module to create vm and on linux servers
View Projectlinux-software-tools
October 2, 2025 – October 2, 2025
linux software tools build on C and Rust
View Projectchat-worker-test-nodejs
December 2, 2024 – December 2, 2024
nodejs websocket -server-cloudflare worker
View ProjectCultural Fit Analysis
The candidate's projects are diverse, covering DevOps, cloud security, LLM/AI, and system administration, which indicates a broad technical curiosity. The target role is 'AWS', and several projects directly align with AWS services and cloud infrastructure. However, the candidate's experience level is listed as 0, and the only listed professional experience is a current role at 'BLP Industry.AI' as 'AWS' starting in the future (2026-06-13), which is inconsistent and suggests a lack of professional experience. This significantly impacts cultural fit for a senior role requiring proven industry experience.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed learning approach, particularly in complex areas like LLMs, zero-trust architectures, and message queues. However, without psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration.