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Machine Learning Engineer
Machine Learning Engineer at Scale AI contributing to LLM platform and RAG evaluation workflows across 1,000+ queries.
United StatesMachine Learning Engineer at Scale AI
Contributed to ML platform development supporting LLM workflows, building Python- and JAX-based components for model development, experimentation, and evaluation. Developed retrieval components for RAG workflows and collaborated on multiple AI platform initiatives.
PythonJaxHugging Face TransformersRAGEmbeddingsVector SearchLLMCI CDGitDockerKubernetes
Developed an enterprise Generative AI knowledge-assistance solution and built ML pipelines using Python, JAX, PyTorch, and scikit-learn. Implemented a RAG-based question-answering pipeline and operationalized ML workflows through CI/CD and containerized deployments.
PythonJaxPyTorchPandasscikit learnRAGLang ChainfastAPIDockerCI CDGitREST APIs
Developed software engineering components for financial-services applications using Java, Python, SQL, and REST APIs. Built Python-based data-processing and ML components and participated in Agile development and code reviews.
JavaPythonSQLREST APIsAgileGitTesting
Engineered enterprise AI capabilities within the CX C4C Ext/Flex team, developing LLM-powered features and modernizing AI capabilities across multiple use cases. Supported production deployment and reliability across 20+ releases.
PythonJavaSpring BootLLMGenerative AIKubernetesCI CDJiraServiceNow
Supported data science initiatives involving enterprise ML development and experimentation. Developed a hybrid-search proof of concept and built a Python/Flask REST API on SAP BTP for ML data workflows.
JavaSpring BootMongoDBPythonFlaskSAP BTPNLPLSTMRAG
Pursued a Master of Science in Computer Science, focusing on advanced topics in computing and software systems.
Completed a Bachelor of Technology in Computer Science and Engineering, covering core engineering and computer science principles.
Profile sourced from Himalayas.