Shashank Muthuraj
Cloud Engineer @ Red Oak Strategic
About
I am a Cloud AI Engineer with expertise in developing and deploying scalable AI solutions across NLP, Deep Learning, and MLOps. I specialize in fine-tuning state-of-the-art models, optimizing ML workflows, and applying cutting-edge AI techniques to solve complex real-world problems. With hands-on experience in training, optimizing, and deploying deep learning models, I focus on transforming data into intelligent, production-ready solutions. I also have extensive experience in building end-to-end ML pipelines using AWS SageMaker, MLflow, and Kubernetes, ensuring seamless deployment and scalability in real-world applications.
United States
Washington
Information Technology & Services
Apache Kafka, Rust (Programming Language), MongoDB, Object-Oriented Programming (OOP), Representational State Transfer (REST), Java, Large Language Model Operations (LLMOps), System Architecture, API Development, Strategic Planning, Language Modeling, Software Development, Git, Programming, Algorithms, Apache Spark, Flask, Machine Learning Algorithms, Recommender Systems, Computer Science
Experience
Cloud Engineer
Red Oak Strategic
Alexandria, Virginia, United States
Machine Learning Engineer Intern
KanTime Inc.
Plano, Texas, United States
• Optimized PySpark distributed data pipeline, boosting ingestion speed by 30% for 500,000+ patient records. • Fine-tuned ClinicalBERT using PyTorch, achieving a 40% increase in classification accuracy for ICD-10 codes. • Implemented LLM-based automation for medical coding, enhancing diagnosis prediction and patient onboarding.
Software Engineer
SAP
Bengaluru, Karnataka, India
• Spearheaded backend development for SAP Joule, enhancing chatbot operational efficiency by 20% using ML-driven intents and entities classification, integrated with Java, Spring Boot, Hana DB, and Kafka technologies. • Optimized microservices architecture to seamlessly scale for 1M+ monthly requests, collaborating with cross- functional teams to refine conversational flows and boost user satisfaction by 30%. • Implemented automated CI/CD pipelines with Docker and Kubernetes, reducing release cycles by 40% while maintaining 99.9% system uptime across production environments.
Data Scientist
SAP
Bengaluru, Karnataka, India
• Implemented DBSCAN algorithm for point-based anomaly detection, improving system monitoring accuracy by 15% at SAP Focused RUN. • Collaborated on integrating TCNAE into System Monitoring Product, enhancing contextual anomaly detection and reducing system response time by 30%. • Developed skills in advanced anomaly detection, algorithm implementation, and collaboration with cross-functional teams.
Education
San José State University
Software Engineering
Course Work : 1) Data Mining 2) Machine Learning 3) Deep Learning 4) Natural Language Processing 5) Recommender Systems 6) Enterprise Software Platforms 7) System Software Engineering
PES University
Computer Science
Shashank Muthuraj's Contact Information
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