Open to opportunities

Muhammad Jamil

@muhammadjamil2

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Senior AI engineer specializing in LLMs, MLOps, and production-grade generative AI systems.

Turkey

Message

What I'm looking for

I seek roles building production-grade LLM and AI platforms with strong MLOps, collaborative teams, responsible-AI practices, and opportunities to mentor and scale systems.

I am a Senior AI and Machine Learning Engineer with over 10 years of experience building, deploying, and scaling intelligent systems across data science, machine learning, and generative AI domains.

I design and implement end-to-end ML and LLM pipelines, real-time streaming architectures, and production-ready inference services using tools like FastAPI, Kafka, and vector databases to deliver measurable business outcomes.

I have led LLMOps and MLOps initiatives, fine-tuned large language models, implemented RAG architectures, and established model observability, security controls, and CI/CD for ML to improve reliability and reduce costs.

I mentor engineers, drive responsible AI and governance practices, and have delivered projects that improved response accuracy, reduced handling time, and increased forecasting accuracy across enterprise systems.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer

Current

Facile Solutions

Sep 2021 - Present (4 years 3 months)

Architected and delivered enterprise-scale AI and Generative AI solutions, designing RAG architectures and LLMOps pipelines that improved response accuracy and reduced hallucinations while increasing automation efficiency by 5%.

Generative AI RAG LLMOps fastAPI Vector Databases

AI / Machine Learning Engineer

Epos

Aug 2018 - Sep 2021 (3 years 1 month)

Developed and deployed ML models and real-time streaming architectures using Kafka processing >2M messages/s, reduced prediction latency by 40% and increased model accuracy by 20%+.

Machine Learning Apache Kafka NLP REST APIs

Data Scientist

eTill Solutions

Feb 2015 - Jul 2018 (3 years 5 months)

Built predictive models for sales forecasting and customer segmentation that increased decision accuracy by 15% and automated ETL/reporting workflows, reducing manual analysis effort by 30%.