I am a results-driven AI engineer and ML specialist with 3 years of experience designing data-driven solutions, ML models, and scalable analytics platforms using Python, SQL, TensorFlow, PyTorch, and Scikit-learn. I have a strong track record of delivering end-to-end ML solutions that automate workflows and improve decision-making, while collaborating effectively in cross-functional, Agile environments.
I have built NLP and Generative AI applications leveraging LLMs, RAG pipelines, LangChain, Hugging Face Transformers, and OpenAI APIs to accelerate business processes. I also develop data pipelines, feature engineering workflows, and real-time processing systems using PySpark, Apache Kafka, and Airflow across AWS, Azure, and GCP. I deploy and monitor AI solutions with Docker, Kubernetes, MLflow, and CI/CD practices, delivering scalable REST APIs and microservices-based architectures.
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