Senior Software Engineer / June, 2023 — November, 2025

Led the development of an AI-powered healthcare data analytics platform utilizing Python TensorFlow and AWS services improving data processing efficiency by 40%. Designed and implemented a real-time patient data ingestion system with Kafka and Spark addressing latency issues in healthcare information flow. Developed custom NLP models to analyze unstructured clinical notes increasing extraction accuracy by 25% and supporting research on medical informatics. Collaborated with data scientists to deploy machine learning models on cloud infrastructure reducing model inference time by 30%. Authored technical white papers on AI-driven health data management contributing to industry thought leadership. Integrated AI modules into existing backend systems using RESTful APIs built with Flask and Node.js enhancing system capabilities for research projects. Conducted performance tuning and scalability testing on healthcare data pipelines ensuring compliance with data privacy standards. Mentored junior engineers on AI model deployment best practices and cloud security protocols. Managed cross-functional teams to deliver healthcare AI solutions on time supporting Rulas strategic innovation goals. Participated in industry conferences as a technical speaker on AI applications in healthcare fostering knowledge exchange.

Software Engineer / November, 2020 — May, 2023

Developed machine learning features for Google Search leveraging TensorFlow and Google Cloud Platform enhancing search result relevance by 15%. Built scalable data pipelines with Dataflow and BigQuery to process search query logs supporting research on information retrieval trends. Implemented privacy-preserving ML models using differential privacy techniques aligning with Google's data security policies. Collaborated with product teams to integrate AI features into Google Assistant utilizing Python and C++ for backend services. Improved model training workflows by automating hyperparameter tuning with Cloud AI Platform reducing training time by 20%. Designed and deployed AB testing frameworks for new AI features enabling data-driven decision making. Contributed to open-source AI projects related to natural language understanding increasing community engagement. Conducted code reviews and provided mentorship on scalable machine learning infrastructure best practices.

Software Engineer / September, 2017 — October, 2020

Built microservices for real-time analytics platform using Java and Spring Boot handling over 10 million events daily. Developed data ingestion and processing pipelines with Kafka and Apache Flink improving system throughput by 35%. Implemented RESTful APIs for client applications ensuring high availability and low latency for enterprise clients. Led migration of legacy systems to cloud infrastructure on AWS reducing operational costs and enhancing scalability. Designed database schemas and optimized SQL queries for large-scale data storage achieving faster data retrieval. Integrated third-party AI services for image recognition and NLP expanding platform capabilities. Collaborated with frontend teams to develop dashboards using Angular and REST APIs improving user experience. Conducted performance profiling and debugging to enhance system stability and reliability.