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Report abuseML Engineer — Production ML Systems (Cloud + Edge) • Computer Vision • Agentic AI
MSc CS (ML Specialization) @ Georgia Tech (OMSCS) | Dubai, UAE
I build end-to-end ML systems that move from experimentation to reliable production—covering data/experiment management, model development, deployment, and operational feedback loops. My work spans traditional machine learning, computer vision and agentic AI use cases, with an engineering-first approach to reliability, evaluation, and scalability.
Agentic AI
- Designing tool-using agents that connect to real systems (APIs, knowledge bases, internal tools)
- Retrieval-augmented generation (RAG) patterns, grounding, and guardrails
- Evaluation discipline: quality metrics, failure-mode analysis, latency/cost trade-offs
Machine Learning Systems
- Reproducible pipelines, experiment tracking, and model lifecycle management
- Deployment-ready packaging (containerization), versioning, and release practices
- Monitoring-oriented thinking: instrumentation, drift/quality signals, iterative improvement
Computer Vision
- Building CV workflows end-to-end: data-centric iteration, model selection, evaluation, and deployment
- Practical post-processing and system integration for real-world constraints
Languages: Python, SQL, No-SQL, C (currently learning)
ML/DL: PyTorch, TensorFlow, scikit-learn
MLOps / Engineering: Docker, Git, Linux, MLflow, DVC
GenAI: LLM applications, agent orchestration patterns, RAG, evaluation/guardrails
Analytics: Power BI
Systems (learning): CUDA programming (currently learning)
- Deepen systems-level proficiency (C + CUDA) to better optimize ML performance paths
- Strengthen agent evaluation and reliability (grounding, tool safety, automated test harnesses)
- Understanding of different agentic frameworks
- Continue building deployment-first ML components usable across cloud and edge environments
- Typescript for web apps development
- More about software in general
- LinkedIn: (https://www.linkedin.com/in/muhammad-afaq-975833125/)
- Email: (muhammadafaq1999@gmail.com)
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