Available to hire
Senior Data Scientist with 11+ years of experience building data-driven systems, machine learning models, and AI-powered analytics platforms. Specialized in large-scale data pipelines, predictive modeling, and LLM/RAG-based intelligence systems.
Proven track record delivering measurable business impact through data insights, model optimization, and scalable ML infrastructure.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Beginner
Work Experience
Senior AI Architect at SymphonyAI
October 2, 2022 - March 2, 2026Led design and deployment of ML and AI-driven analytics platforms enabling large-scale predictive insights across enterprise datasets (millions of records). Developed and optimized RAG pipelines and LLM-based systems, improving insight generation accuracy by ~25%. Built end-to-end data pipelines using Python, Spark, and Kafka for real-time and batch processing. Designed and trained ML models for classification, forecasting, and recommendation systems to improve business KPIs. Implemented model monitoring and evaluation frameworks to improve reliability and reduce drift. Partnered with stakeholders to translate business problems into data science solutions and mentored data scientists and engineers on ML best practices and scalable model deployment.
Software Engineer at Google
August 2, 2018 - September 2, 2022Developed data pipelines and analytics systems supporting large-scale datasets and ML workflows. Built and deployed ML models using TensorFlow and Python to improve prediction accuracy. Optimized data processing to reduce pipeline latency by ~40%. Designed experiments and A/B testing frameworks for product optimization. Collaborated with data teams to generate actionable insights and improved monitoring and reliability of data systems, contributing to scalable data architecture design.
Software Engineer at Microsoft
July 2, 2014 - July 2, 2018Built data processing and analytics solutions supporting enterprise applications. Developed ETL pipelines using Azure Data Services. Implemented statistical analysis and reporting tools, optimized queries and storage for improved performance, supported ML integration into enterprise systems, collaborated with teams to deliver data-driven features, and gained foundational experience in data engineering and analytics.
Education
Bachelor of Science (B.S.) at University of Central Florida
September 1, 2010 - May 1, 2014Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Beginner
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