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I am an experienced data and software engineer with over 10 years of combined experience, including 9+ years in data engineering, AI/ML, and scalable solution development, as well as 1+ year in academia. I have successfully delivered enterprise-grade solutions across fintech, healthcare, oil & gas, and e-commerce industries. My expertise spans building data pipelines, advanced machine learning, natural language processing, and deployment of deep learning models. Throughout my career, I have worked on complex projects ranging from real-time computer vision systems on edge devices to large-scale financial data analytics and mobile app SDK integrations. I enjoy collaborating in cross-functional teams, driving compliance and governance, and innovating with cutting-edge AI technologies such as LLMs, LangChain, and MLOps frameworks.…I am an experienced data and software engineer with over 10 years of combined experience, including 9+ years in data engineering, AI/ML, and scalable solution development, as well as 1+ year in academia. I have successfully delivered enterprise-grade solutions across fintech, healthcare, oil & gas, and e-commerce industries. My expertise spans building data pipelines, advanced machine learning, natural language processing, and deployment of deep learning models. Throughout my career, I have worked on complex projects ranging from real-time computer vision systems on edge devices to large-scale financial data analytics and mobile app SDK integrations. I enjoy collaborating in cross-functional teams, driving compliance and governance, and innovating with cutting-edge AI technologies such as LLMs, LangChain, and MLOps frameworks.

Pavan Kumar Madineni

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I am an experienced data and software engineer with over 10 years of combined experience, including 9+ years in data engineering, AI/ML, and scalable solution development, as well as 1+ year in academia. I have successfully delivered enterprise-grade solutions across fintech, healthcare, oil & gas, and e-commerce industries. My expertise spans building data pipelines, advanced machine learning, natural language processing, and deployment of deep learning models. Throughout my career, I have worked on complex projects ranging from real-time computer vision systems on edge devices to large-scale financial data analytics and mobile app SDK integrations. I enjoy collaborating in cross-functional teams, driving compliance and governance, and innovating with cutting-edge AI technologies such as LLMs, LangChain, and MLOps frameworks.…I am an experienced data and software engineer with over 10 years of combined experience, including 9+ years in data engineering, AI/ML, and scalable solution development, as well as 1+ year in academia. I have successfully delivered enterprise-grade solutions across fintech, healthcare, oil & gas, and e-commerce industries. My expertise spans building data pipelines, advanced machine learning, natural language processing, and deployment of deep learning models. Throughout my career, I have worked on complex projects ranging from real-time computer vision systems on edge devices to large-scale financial data analytics and mobile app SDK integrations. I enjoy collaborating in cross-functional teams, driving compliance and governance, and innovating with cutting-edge AI technologies such as LLMs, LangChain, and MLOps frameworks.

Available to hire

I am an experienced data and software engineer with over 10 years of combined experience, including 9+ years in data engineering, AI/ML, and scalable solution development, as well as 1+ year in academia. I have successfully delivered enterprise-grade solutions across fintech, healthcare, oil & gas, and e-commerce industries. My expertise spans building data pipelines, advanced machine learning, natural language processing, and deployment of deep learning models.

Throughout my career, I have worked on complex projects ranging from real-time computer vision systems on edge devices to large-scale financial data analytics and mobile app SDK integrations. I enjoy collaborating in cross-functional teams, driving compliance and governance, and innovating with cutting-edge AI technologies such as LLMs, LangChain, and MLOps frameworks.

Skills

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Expert

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Work Experience

Senior Data & ML Engineer at Capital One

July 5, 2023 - Present

Designed and maintained scalable production-grade data pipelines automating ingestion and processing of loss-related data from multiple enterprise sources. Developed advanced SQL scripts and built a centralized Loss Event Fact table for regulatory reporting. Partnered with compliance and modeling teams to ensure data traceability and schema consistency. Delivered scalable ETL pipelines on Databricks, integrated ML pipelines for time-series forecasting of portfolio risk. Applied MLOps best practices with tools like MLflow, Jenkins, and Docker. Developed LangChain and LangGraph applications for scalable and context-aware AI responses.

Data Science & Machine Learning Engineer at Nabors Industries

June 15, 2023 - August 26, 2025

Led development of an end-to-end real-time Red Zone Monitoring System using custom YOLOv5 models for human detection in hazardous drilling zones. Developed preprocessing pipelines for video streams and deployed lightweight inference models on edge devices under constrained hardware. Curated and labeled large datasets and implemented data augmentation to improve model generalization. Integrated model predictions with alerting systems to enhance safety protocols and operationalized models within existing surveillance infrastructure.

Machine Learning Engineer at Amazon

January 13, 2023 - August 26, 2025

Spearheaded Kochava SDK integration with Kindle Android app for mobile attribution tracking, collaborated with third-party and internal teams to ensure data accuracy and reliable event capture. Developed Heimdall Shopping Experience Measurement and Feedback Classification Systems involving large-scale data ingestion, sentiment analysis with AWS Comprehend, multi-label NLP classification models, and GDPR-compliant data handling. Delivered inline purchase features on Kindle e-readers with accessibility and localization support. Led cross-functional efforts in performance analysis, compliance, and mentoring, with extensive use of AWS, Java, Python, and various ML tools.

Graduate Teaching Assistant at Indiana University Bloomington

May 3, 2019 - August 26, 2025

Assisted undergraduate students in multimedia arts and technology capstone projects, focusing on web development and user experience with high-fidelity prototypes.

Senior Data Analyst at Infosys Ltd.

May 15, 2017 - August 26, 2025

Led integrated data warehousing team building diagnostic and predictive analytics solutions. Developed ETL workflows and SQL queries on COBOL and DB2 mainframe systems. Managed batch job scheduling with JCL and coordinated cross-functional stakeholders for data quality and Agile delivery. Supported legacy to modern ETL migration and delivered operational reports with Excel and BI tools.

Data Analyst at Infosys Ltd.

February 14, 2016 - August 26, 2025

Contributed to the Royal Bank of Scotland's financial system transformation by developing COBOL programs, CICS transaction handlers, ETL jobs, and DB2 data extraction processes. Ensured regulatory compliance and data consistency during system separation initiatives. Participated in testing, data masking, documentation, and Agile sprint activities.