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Senior Software Engineer with 6 years of experience leveraging machine learning, predictive analytics, statistical modeling, and artificial intelligence to solve complex business problems across healthcare, financial services, and technology platforms. Proven track record transforming large-scale structured and unstructured data into actionable insights, predictive models, and data-driven decision-support solutions. Experienced leading the full lifecycle of data science initiatives including problem formulation, EDA, feature engineering, model development, validation, deployment, monitoring, and continuous optimization. Skilled at partnering with product, engineering, and business stakeholders to deliver scalable solutions that drive measurable business impact.…Senior Software Engineer with 6 years of experience leveraging machine learning, predictive analytics, statistical modeling, and artificial intelligence to solve complex business problems across healthcare, financial services, and technology platforms. Proven track record transforming large-scale structured and unstructured data into actionable insights, predictive models, and data-driven decision-support solutions. Experienced leading the full lifecycle of data science initiatives including problem formulation, EDA, feature engineering, model development, validation, deployment, monitoring, and continuous optimization. Skilled at partnering with product, engineering, and business stakeholders to deliver scalable solutions that drive measurable business impact.

James N Ghiem

Software Engineer, Data Scientist, AI Engineer, +2

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Senior Software Engineer with 6 years of experience leveraging machine learning, predictive analytics, statistical modeling, and artificial intelligence to solve complex business problems across healthcare, financial services, and technology platforms. Proven track record transforming large-scale structured and unstructured data into actionable insights, predictive models, and data-driven decision-support solutions. Experienced leading the full lifecycle of data science initiatives including problem formulation, EDA, feature engineering, model development, validation, deployment, monitoring, and continuous optimization. Skilled at partnering with product, engineering, and business stakeholders to deliver scalable solutions that drive measurable business impact.…Senior Software Engineer with 6 years of experience leveraging machine learning, predictive analytics, statistical modeling, and artificial intelligence to solve complex business problems across healthcare, financial services, and technology platforms. Proven track record transforming large-scale structured and unstructured data into actionable insights, predictive models, and data-driven decision-support solutions. Experienced leading the full lifecycle of data science initiatives including problem formulation, EDA, feature engineering, model development, validation, deployment, monitoring, and continuous optimization. Skilled at partnering with product, engineering, and business stakeholders to deliver scalable solutions that drive measurable business impact.

Available to hire

Senior Software Engineer with 6 years of experience leveraging machine learning, predictive analytics, statistical modeling, and artificial intelligence to solve complex business problems across healthcare, financial services, and technology platforms. Proven track record transforming large-scale structured and unstructured data into actionable insights, predictive models, and data-driven decision-support solutions.

Experienced leading the full lifecycle of data science initiatives including problem formulation, EDA, feature engineering, model development, validation, deployment, monitoring, and continuous optimization. Skilled at partnering with product, engineering, and business stakeholders to deliver scalable solutions that drive measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Senior Software Engineer

July 1, 2025 - Present

Built data pipelines using Python, SQL, MongoDB, and Apache-style distributed processing workflows to support model training, feature extraction, inference, and analytical reporting across large healthcare datasets. Designed predictive analytics workflows with scikit-learn and statistical modeling to identify equipment anomalies and improve maintenance decision-making. Developed machine learning solutions for industrial equipment analysis using pandas, NumPy, scikit-learn, and CNN-based image classification models, reducing equipment disposal costs by over $1.25M manually. Led migration and validation of 25M+ healthcare records from SQL Server to MongoDB using Java and Spring Boot with automated data-quality validation frameworks. Developed REST APIs and backend services using Spring Boot and OpenAPI to integrate ML outputs into healthcare compliance and operational reporting systems. Contributed to cloud-native deployment, monitoring, CI/CD automation, Docker containerization, and Kub

Software Engineer at SuperMoney

February 1, 2024 - July 1, 2025

Developed machine learning and AI-powered analytics solutions using pandas, NumPy, scikit-learn, FastAPI, and OpenAI models to classify customer reviews, detect fraudulent content, and generate structured business insights. Performed EDA, feature engineering, data preparation, model validation, and performance evaluation using SQL, pandas, and scikit-learn across large-scale customer datasets. Built predictive classification models using supervised learning techniques, supporting customer segmentation, lead qualification, and automated decision-support systems. Developed semantic search and retrieval solutions using OpenAI embeddings, LangChain, PostgreSQL, Redis, and vector-based retrieval techniques to improve information discovery and content accessibility. Built cloud-based analytics workflows using AWS and Docker and managed data services for scalable processing and reliable deployment of AI-powered applications. Partnered with product, analytics, and engineering teams to evaluate

Software Engineer at Reaсtime

October 1, 2022 - February 1, 2024

Developed telemetry and analytics platforms using Python, SQL, JavaScript, TypeScript, and React to enable large-scale collection, processing, and analysis of application performance and user-interaction data. Built data-processing pipelines and analytics workflows supporting performance monitoring, trend analysis, anomaly detection, and engineering decision-making across complex web applications. Applied statistical analysis, feature engineering, clustering, and anomaly-detection techniques to identify performance bottlenecks, application state anomalies, and runtime inefficiencies. Implemented automated testing, validation, and QA workflows using Jest, Travis CI, and data-driven performance evaluation methodology to improve software reliability and operational visibility. Collaborated with cross-functional engineering teams and open-source contributors through analytics-driven optimization initiatives, code reviews, technical mentoring, and architecture discussions.

Software Engineering Intern at Spre(d)fast

July 1, 2020 - September 1, 2022

Performed EDA, data cleaning, feature engineering, and statistical analysis across structured datasets to identify trends, anomalies, and business opportunities. Assisted in developing machine learning models using scikit-learn, supporting classification, regression, model evaluation, and prediction analysis projects under senior data scientist guidance. Developed analytical dashboards and automated reporting solutions using SQL, Python, and data-visualization techniques to improve visibility into key business and operational metrics. Collaborated with data scientists, software engineers, product managers, and business stakeholders to validate data quality, improve analytical workflows, and support data-driven decision-making processes.