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Muhammad Huzaifa

@muhammadhuzaifa16

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AI Engineer specializing in LLM orchestration, evaluation, and production-ready agent systems.

Pakistan

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What I'm looking for

I’m looking for an AI/LLM engineering role where I can design agentic systems, benchmark models for real-world tradeoffs, and ship production features with strong ownership in cloud deployment.

I’m an AI Engineer focused on turning LLM research into fast, user-facing product outcomes. I’ve hands-on experience designing and shipping agentic AI systems—from multi-stage prompt pipelines to Planner-Executor-Evaluator architectures with self-correction loops.

I benchmark and evaluate LLMs across accuracy, latency, and cost, then use that insight to route tasks to the right models. I also build Python data pipelines with Pandas and NumPy to clean, structure, and validate model inputs so downstream outputs stay reliable.

In projects, I’ve engineered production-style systems and deployments: a multi-stage investor pitch pipeline deployed with an Express/TypeScript + React stack on Google Cloud Run, and a national-hackathon Planner-Executor-Evaluator agent using the Claude API. I’m comfortable in cloud and DevOps workflows (GCP/AWS/Azure, Docker, Kubernetes, Terraform, CI/CD) and I like shipping prototypes under real time constraints.

Experience

Work history, roles, and key accomplishments

PitchIQ Multi-Stage Pipeline

Google AISeekho

Jan 2026 - Apr 2026 (3 months)

Engineered a 5-stage chained LLM pipeline (Idea Deconstruction through VC Cold Email) to generate investor-grade startup analysis in under 2 minutes. Benchmarked and routed tasks across Gemini 2.5 Pro and Flash, then deployed an Express/TypeScript backend and React frontend on Google Cloud Run with API key security.

Agentic AI Prompt Engineering Express TypeScript React Google Cloud Run API Security

QuizMasterPro Assessment Platform

NEDUET Course Project

Nov 2025 - Jan 2026 (2 months)

Built an AI-powered quiz generation and analytics platform integrating Gemini 2.5 and OpenAI ChatGPT with adaptive prompt strategies for context-aware questions and explanations. Implemented data ingestion and preprocessing with Pandas/NumPy and visualized learning-gap analytics to identify at-risk students.

AI Integration Gemini OpenAI ChatGPT Prompt Engineering Python Pandas NumPy Matplotlib data preprocessing Machine Learning Natural Language Processing Learning Analytics

Agentic AI System Planner-Executor

National AI Hackathon

May 2026 - Present (3 months)

Architected a multi-step agentic AI system with a Planner-Executor-Evaluator design using the Claude API, including iterative self-correction and tool-calling components. Presented the architecture and a live prototype at a national hackathon.

Agentic AI Planner Executor Evaluator Architecture Claude Tool calling Rapid Prototyping

Education

Degrees, certifications, and relevant coursework

NED University of Engineering and Technology

Bachelor of Engineering, Software Engineering

2025 -

Grade: 3.49/4.00

Bachelor of Engineering in Software Engineering (GPA: 3.49/4.00). Coursework includes Software Engineering, OOP, Data Structures and Algorithms, Database Systems, Discrete Mathematics, Linear Algebra and ODEs.