Open to opportunities

Muhammad Faisal

@muhammadfaisal13

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Data engineer and AI specialist building scalable ML pipelines, RAG systems, and production AI solutions.

Pakistan

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What I'm looking for

I seek a role building production ML/AI systems—focused on scalable data pipelines, RAG and multimodal applications, collaborative teams, and opportunities to drive measurable business impact.

I am a data engineer and AI/analytics specialist with hands-on experience designing scalable ETL pipelines, real-time data processing, and production-grade AI systems. I have built forecasting pipelines, RAG systems, and multi-agent AI applications that deliver measurable business impact.

My work includes deploying cloud-based ML solutions using GCP, BigQuery, Apache Airflow, and containerized MLOps practices, and integrating modern LLM stacks such as LangChain, LlamaIndex, Qdrant, and Google Gemini for semantic search and multimodal capabilities.

Key achievements include ranking 5th in the NVIDIA & LlamaIndex AI Innovation Competition, developing Agent-mont for AI agent monitoring, and engineering ML-powered forecasting and fraud-detection systems that improved operational metrics and decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Hertz Analytics

Aug 2024 - Present (1 year 1 month)

Led development and deployment of production-grade AI and ML pipelines including RAG systems with Google Gemini and Qdrant, and engineered Airbnb reservation forecasting pipelines that automated pricing and optimized occupancy across US markets.

Python BigQuery GCP)Apache Airflow Spark Qdrant MLOps

Business Intelligence Analyst

ChaseUp

Feb 2024 - Jul 2024 (5 months)

Built Power BI dashboards for 26 stores processing 10M+ daily records and developed XGBoost sales forecasting models achieving 89% accuracy to support executive decision-making.

Power BI DAX SQL XGBoost Data Visualization Forecasting ETL Tableau KPI Design

Data Analyst

Connect Logistics

Aug 2023 - Jan 2024 (5 months)

Improved GSK warehouse operations by 25% using Six Sigma and root cause analysis, and developed operational dashboards with advanced DAX calculations for KPI tracking.