I am a Senior AI/ML Engineer with 10+ years of experience designing, building, and deploying production-grade ML systems across NLP, computer vision, and large-scale data platforms.
I offer end-to-end AI/ML services including model development, deep learning solutions, LLM integration, prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and scalable MLOps pipelines.
My skill set includes Python, PyTorch, TensorFlow, Scikit-learn, LangChain, and modern cloud platforms such as AWS, GCP, and Azure.
I specialize in building robust data pipelines, training and optimizing models for performance and cost efficiency, and deploying low-latency APIs using containerized architectures (Docker, Kubernetes).
What differentiates my service is a strong focus on production reliability, measurable business impact, and scalability.
I don’t just build models—I design full lifecycle AI systems with monitoring, evaluation frameworks, drift detection, and continuous improvement loops.
I bring deep expertise in optimizing inference costs, improving model accuracy under real-world constraints, and translating complex business problems into effective AI-driven solutions.