Available to hire
Hi, I’m Harshitha Kamineni, a Sr. AI Engineer and Data Engineer with 10+ years of experience in building scalable data platforms and AI/ML solutions. I thrive in cloud-native environments, enjoy turning complex data into actionable insights, and collaborate with cross-functional teams to deliver production-grade pipelines and models.
I’m passionate about modern data architecture, ML lifecycle automation (MLOps), and applying AI to finance, healthcare, and retail. I value governance, explainability, and continuous improvement to ensure scalable, compliant, and impactful solutions.
Language
English
Advanced
Work Experience
Sr. AI/ML Engineer at Freddie Mac
April 1, 2024 - PresentDesigned and developed end-to-end AI/ML solutions for mortgage risk modeling, loan default prediction, prepayment analysis, and portfolio performance forecasting. Built and optimized enterprise-scale pipelines for data ingestion, feature engineering, model training, validation, and deployment. Implemented NLP to extract insights from unstructured loan documents, appraisal reports, servicing notes, and regulatory filings. Developed and fine-tuned LLMs for document summarization, intelligent search, and compliance analysis. Applied MLOps practices for CI/CD, automated testing, model retraining, drift detection, and performance monitoring. Collaborated with risk, compliance, and business stakeholders to translate regulatory and analytical requirements into robust AI/ML solutions.
Sr. AI/ML Engineer at Kaiser Permanente
February 1, 2022 - March 1, 2024Led design and development of AI/ML solutions supporting patient risk prediction, readmission forecasting, disease progression modeling, and operational forecasting. Built scalable pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Developed NLP models to extract insights from physician notes, discharge summaries, lab reports, and transcripts. Implemented and tuned LLMs for clinical document summarization, intelligent search, and Q&A systems. Applied prompt engineering and model optimization to improve accuracy and reliability. Maintained MLOps pipelines with CI/CD, automated testing, retraining, drift detection, and monitoring. Ensured HIPAA compliance and data security in production deployments.
Data Engineer with ML at Best Buy
January 1, 2021 - October 1, 2021Strengthened Best Buy's enterprise data platform by consolidating customer, product, and supply chain data into cloud-native architectures to enable ML-ready datasets for personalization, forecasting, and operations. Designed high-throughput ingestion pipelines and reusable data prep frameworks for feature engineering. Implemented batch and near-real-time model scoring and integrated ML outputs into downstream applications. Established data quality checks and automated validations to maintain data integrity. Re-architected pipelines to improve speed and reduce costs using Spark optimization and Delta formats. Collaborated with analytics teams to deliver curated data layers for BI dashboards and self-service analytics.
Data Engineer at Helical IT Solutions Pvt Ltd
May 1, 2017 - December 1, 2019Built scalable enterprise data platform components for multiple clients, modernizing legacy reporting, improving data ingestion, and enabling cloud-ready analytics. Developed end-to-end ETL/ELT pipelines using Hadoop, Spark, and SQL-based processing. Designed star/snowflake schema warehouse structures and reusable transformation components. Implemented data quality checks, lineage, and governance. Deployed orchestration with Airflow and Oozie, and ensured security and compliance across datasets. Worked with cross-functional teams to deliver analytics-ready datasets for dashboards and operational reporting.
Data Analyst at Bharti Airtel
September 1, 2015 - April 1, 2017Enhanced Airtel's data reporting ecosystem by automating pipelines, consolidating data sources, and delivering centralized dashboards for network, finance, and customer analytics. Built data validation layers, performance-tuned SQL queries, and self-serve data models. Delivered ML readiness datasets and supported analytics with Python-based modeling for classification and anomaly detection. Ensured governance, encryption, and data confidentiality policies while collaborating with business units to translate requirements into insights.
Data Analyst at Mu Sigma
July 1, 2013 - August 1, 2015Delivered analytical solutions for enterprise clients by cleansing and modeling large datasets, creating KPIs, and building dashboards to support operations, marketing, and customer analytics. Automated ETL workflows, performed exploratory data analysis, and collaborated with stakeholders to translate business problems into analytical requirements. Contributed to predictive modeling initiatives and documented data processes for auditability.
Education
Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Software & Internet, Professional Services
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