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I’m a Data Engineer and AI-focused Backend Developer with 3+ years of experience building scalable data pipelines, APIs, and production-grade AI systems. I specialize in Python, SQL, and cloud-based architectures, with hands-on experience in ETL workflows, RAG systems, and integrating LLMs into real-world applications. I focus on delivering clean, reliable, and maintainable systems, with strong attention to data quality, performance, and end-to-end ownership. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and turning complex data and AI requirements into practical, production-ready solutions.…I’m a Data Engineer and AI-focused Backend Developer with 3+ years of experience building scalable data pipelines, APIs, and production-grade AI systems. I specialize in Python, SQL, and cloud-based architectures, with hands-on experience in ETL workflows, RAG systems, and integrating LLMs into real-world applications. I focus on delivering clean, reliable, and maintainable systems, with strong attention to data quality, performance, and end-to-end ownership. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and turning complex data and AI requirements into practical, production-ready solutions.

Muhammad Zahid Ali

AI Engineer, Data Scientist, Full Stack Developer

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I’m a Data Engineer and AI-focused Backend Developer with 3+ years of experience building scalable data pipelines, APIs, and production-grade AI systems. I specialize in Python, SQL, and cloud-based architectures, with hands-on experience in ETL workflows, RAG systems, and integrating LLMs into real-world applications. I focus on delivering clean, reliable, and maintainable systems, with strong attention to data quality, performance, and end-to-end ownership. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and turning complex data and AI requirements into practical, production-ready solutions.…I’m a Data Engineer and AI-focused Backend Developer with 3+ years of experience building scalable data pipelines, APIs, and production-grade AI systems. I specialize in Python, SQL, and cloud-based architectures, with hands-on experience in ETL workflows, RAG systems, and integrating LLMs into real-world applications. I focus on delivering clean, reliable, and maintainable systems, with strong attention to data quality, performance, and end-to-end ownership. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and turning complex data and AI requirements into practical, production-ready solutions.

Available to hire

I’m a Data Engineer and AI-focused Backend Developer with 3+ years of experience building scalable data pipelines, APIs, and production-grade AI systems. I specialize in Python, SQL, and cloud-based architectures, with hands-on experience in ETL workflows, RAG systems, and integrating LLMs into real-world applications.

I focus on delivering clean, reliable, and maintainable systems, with strong attention to data quality, performance, and end-to-end ownership. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and turning complex data and AI requirements into practical, production-ready solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Large Language Models

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Urdu

Fluent

Work Experience

Senior AI/ML & Data Engineer

September 1, 2019 - February 1, 2021

Architected end-to-end ML and LLM pipelines in Python (Pandas/NumPy) covering preprocessing, training (PyTorch, TensorFlow), validation, and inference. Built scalable ETL/ELT pipelines and REST APIs for enterprise ML workflows. Led data processing with distributed tools and collaborated in Agile teams.

Senior AI/ML Engineer

March 1, 2021 - June 1, 2022

Designed and developed ML models using Python (PyTorch, TensorFlow, scikit-learn) for structured and unstructured data. Built end-to-end ML pipelines including data preprocessing, training, validation, and deployment. Explored Generative AI and LLM-based solutions with a focus on performance.

Senior AI/ML Engineer

July 1, 2022 - January 31, 2024

Designed and developed ML models and pipelines using Python for structured/unstructured data. Built end-to-end ML pipelines with preprocessing, training, validation, deployment. Worked on Generative AI/LLM-based solutions, including RAG pipelines with vector databases; emphasized model optimization and CI/CD readiness with MLflow and Kubeflow.

Senior AI/ML Engineer

February 1, 2024 - Present

Architected end-to-end ML and LLM pipelines in Python (preprocessing, training, validation, inference). Fine-tuned LLMs, built RAG pipelines with FAISS/Pinecone, and applied LangChain/LlamaIndex for context-aware AI systems. Implemented MLops pipelines with MLflow and Kubeflow; set up CI/CD and real-time inference workflows.

Senior AI & ML Engineer

July 1, 2022 - January 31, 2024

Led end-to-end design and deployment of production-grade AI/ML and Generative AI systems, including LLM-powered applications, scalable data pipelines, and real-time inference in infrastructure.

Senior AI & ML Engineer

February 1, 2024 - Present

Architected end-to-end ML and LLM pipelines in Python covering preprocessing (Pandas/NumPy), training (PyTorch, TensorFlow), validation, and inference; built RAG pipelines using vector databases; developed agent AI workflows; implemented MLOps pipelines using MLflow/Kubeflow; containerized models and deployed REST APIs; built SQL-based ETL pipelines and automated workflows using Airflow/Kubernetes.

Back-End Developer

March 2, 2021 - June 2, 2022

Designed and implemented secure Python ETL pipelines to process large-scale structured medical data; engineered ML-ready datasets; backend data services and REST APIs; automated data cleaning, normalization, and feature preparation; time-series data analysis for operational insights.

Back-End Developer

September 2, 2019 - February 2, 2021

Developed backend services and REST APIs using Python to support enterprise financial workflows; automated business operations through structured data processing pipelines and workflow orchestration; designed and optimized PostgreSQL databases and SQL queries for high-volume transactional data; Agile/Scrum collaboration.