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SHAHROZE NAVEED

@shahrozenaveed

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AI/ML Engineer building production LLM, MLOps, and full-stack systems end-to-end.

Pakistan

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What I'm looking for

I’m looking for a team where I can build production LLM and MLOps systems—designing reliable pipelines, shipping containerized services, and improving model quality with drift-aware retraining and clean backend interfaces.

I’m a recent BS Data Science graduate (FAST-NUCES) and a DataCamp Certified Professional Data Scientist. I build production AI and full-stack systems end-to-end—multi-agent pipelines, RAG, MLOps workflows, and containerized REST APIs on AWS.

In my AI Automation internship, I delivered Python + LLM-API automation that cut repetitive manual work by ~40%. I also built an AI-driven product-title optimization pipeline compliant with Google Merchant Center, and created a full-stack campaign-approval platform with role-based auth, bilingual support, transactional emails, and a state-machine workflow engine.

On the AI engineering side, I built an LLM-powered medical-document summarizer in FastAPI, reducing physician report-review time by ~60% on sampled cases. My projects reflect the same production mindset: TenCount combines real-time vision (YOLOv11, ByteTrack) with AWS deployment, while TimeGuard implements a containerized MLOps pipeline with drift detection and CI/CD retraining.

Experience

Work history, roles, and key accomplishments

AI Automation Intern

BrandSurge LLC

Jun 2025 - Jul 2025 (1 month)

Built Python + LLM-API automation for an e-commerce performance-marketing workflow, cutting repetitive manual ad-management time by ~40%. Developed an AI product-title optimization pipeline standardized across 500+ live product listings and delivered a full-stack campaign-approval platform that automated multi-role sign-off via a state-machine workflow engine.

Python Next.js Prisma PostgreSQL Supabase State Machine Flow REST APIs

AI Intern

Shaukat Khanum Memorial Cancer Hospital

Jun 2025 - Jul 2025 (1 month)

Built an LLM-powered medical-document summarizer via a FastAPI backend, reducing physician report-review time by ~60% on sampled cases. Implemented a rule-aware clinical symptom checker (15+ medical rules) with structured prompt templates and output-validation logic, exposed through a unified REST API for hospital staff.

fastAPI REST APIs Prompt Engineering

Full-Stack Dashboard Dev

Jim

Built and managed operational dashboards backed by a relational database to track real-time sales and multi-location performance metrics. Wrote and optimized SQL to generate KPI reports and automated cross-location reporting to reduce manual data entry and reconciliation effort.

SQL Dashboard Development KPI Reporting Data Aggregation Performance Analytics Relational Databases

Education

Degrees, certifications, and relevant coursework

FAST-NUCES

Bachelor of Science in Data Science, Data Science

Completed a BS in Data Science at FAST-NUCES (Islamabad), covering machine learning, deep learning, AI, data mining, statistics, OOP, and database systems; graduated in June 2026.