Muhammad Shoaib
Aspiring AI ML Engineer
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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.
Education
Bachelor of Science in Computer Science (BSCS) in Computer Science – University of the Punjab, Lahore (2024-08 – 2028-05)
