Shamemudeen

AI Model Development Manager UAE

https://www.opentalent.in/shamemudeen

Key Strengths

Extensive experience (5+ years) in AI/ML, Generative AI, LLM systems, and MLOps, directly aligning with the target role.
Deep expertise in LLMs (GPT-4, Claude, Gemini, LLAMA, Mistral, Falcon, Grok), fine-tuning (LoRA, QLoRA, PEFT, SFT, RLHF, DPO), prompt engineering, RAG, and vector search.
Proven track record in model optimization (quantization, pruning, FlashAttention-2, dynamic batching) leading to significant cost reductions (e.g., 40% GPU inference cost reduction) and throughput improvements.
Strong background in multimodal AI, deep learning frameworks (PyTorch, TensorFlow, Keras), and transformer architectures.
Demonstrated ability in MLOps (MLflow, W&B, DVC, Kubeflow, Vertex AI Pipelines) and cloud deployment (Azure, GCP, AWS) with LangGraph orchestration, ensuring scalable and reproducible AI systems.
Experience in leading a 7-member team and architecting complex AI systems, indicating leadership potential for a manager role.
Certifications in Databricks and Microsoft Azure for Data Engineering and AI further validate technical proficiency.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's current and target location (Dubai, UAE) aligns with the target role's geographical requirement. The resume indicates experience in diverse environments (India, Bahrain, UAE). However, the psychometric test score of 0 is a critical red flag regarding cultural and team fit, as it directly assesses attributes vital for successful integration and collaboration within an organization.

Soft Skills & Operational Fit

The candidate's resume highlights a results-driven approach, evidenced by quantifiable achievements in cost reduction, accuracy improvements, and latency optimization. Experience in leading a 7-member team suggests some leadership and collaboration skills. However, the psychometric test score of 0 raises significant concerns about logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit and a managerial position.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Experienced Senior AI & ML Engineer with 5+ years of expertise in building advanced AI systems, Generative AI, LLMs, RAG, multimodal deep learning, and MLOps. Skilled in GPT-4, Claude, Gemini, LLaMA, LangChain, Azure AI, GCP, and cloud deployment. Proven success in reducing GPU costs by 40–50%, improving model accuracy up to 98%, and delivering scalable AI solutions across e-commerce, content moderation, predictive maintenance, and chatbot systems. Strong background in model optimization, fine-tuning, cloud platforms, and end-to-end production deployment across UAE, Bahrain, and India.

Key Strengths

Extensive experience (5+ years) in AI/ML, Generative AI, LLM systems, and MLOps, directly aligning with the target role.
Deep expertise in LLMs (GPT-4, Claude, Gemini, LLAMA, Mistral, Falcon, Grok), fine-tuning (LoRA, QLoRA, PEFT, SFT, RLHF, DPO), prompt engineering, RAG, and vector search.
Proven track record in model optimization (quantization, pruning, FlashAttention-2, dynamic batching) leading to significant cost reductions (e.g., 40% GPU inference cost reduction) and throughput improvements.
Strong background in multimodal AI, deep learning frameworks (PyTorch, TensorFlow, Keras), and transformer architectures.
Demonstrated ability in MLOps (MLflow, W&B, DVC, Kubeflow, Vertex AI Pipelines) and cloud deployment (Azure, GCP, AWS) with LangGraph orchestration, ensuring scalable and reproducible AI systems.
Experience in leading a 7-member team and architecting complex AI systems, indicating leadership potential for a manager role.
Certifications in Databricks and Microsoft Azure for Data Engineering and AI further validate technical proficiency.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit