Muhammad Shoaib

Aspiring AI ML Engineer

Talent

LahoreMember since 23 May 2026

LLaMA 3.3 70BGroq APIRetrieval-Augmented Generation (RAG)Cohort AnalysisDockerGitHub Actions CI/CDRailwayFastAPIGitPostgreSQLCloud DeploymentPythonSQLJavaScriptJavabcryptSSH Tunnelling

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LLaMA 3.3 70BGroq APIRetrieval-Augmented Generation (RAG)Cohort AnalysisDocker

About

Results-driven Machine Learning Engineer and second-year B.S.

Computer

Science student (GPA 3.4/4.0) who independently architected and shipped a production-grade NLP SaaS — Query AI — powered by LLaMA 3.3 70B, delivering sub-50ms inference latency, 99.9% uptime, and four-language support within three months. Hands-on expertise spanning end-to-end ML pipelines, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Deep Learning, and cloud deployment with Docker, FastAPI, and CI/CD automation. Seeking an AI/ML or NLP internship at a top-tier AI company for Summer 2026.

Experience

Freelance AI & ML Engineer at Self-Employed (2025-01 – 2026-02)

Architected and deployed 3 production-grade ML/NLP systems using Python, FastAPI, and PostgreSQL with GitHub Actions CI/CD on Railway, reducing manual deployment effort by 100% through full automation.
Engineered Query AI — a multilingual Natural Language Processing (NLP)-to-SQL SaaS — independently in under 3 months; achieved sub-50ms inference latency, 99.9% uptime, and 4-language support in live production.
Implemented multi-layer security (AES-256, bcrypt, JWT, SSH Tunnelling) across all production ML systems, resulting in zero security incidents across all client deployments.
Sustained 700+ GitHub contributions across 9 public repositories over 12+ months, demonstrating consistent, measurable open-source engineering output.