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Senior Generative AI & Python Data Engineer with 10+ years of experience building production-grade AI, Generative AI, machine learning, and data engineering platforms across healthcare, financial services, retail, and banking. Hands-on experience delivering LLM-powered applications, RAG and agentic workflows, real-time risk/fraud systems, recommendation engines, and large-scale data pipelines. Experienced end-to-end across secure data ingestion, OCR/document intelligence, feature engineering, model training, API development, cloud deployment, monitoring, and automation. Strong focus on security, observability, CI/CD, model evaluation, performance optimization, and cross-functional collaboration, including HIPAA-compliant healthcare workflows and explainable decision support.…Senior Generative AI & Python Data Engineer with 10+ years of experience building production-grade AI, Generative AI, machine learning, and data engineering platforms across healthcare, financial services, retail, and banking. Hands-on experience delivering LLM-powered applications, RAG and agentic workflows, real-time risk/fraud systems, recommendation engines, and large-scale data pipelines. Experienced end-to-end across secure data ingestion, OCR/document intelligence, feature engineering, model training, API development, cloud deployment, monitoring, and automation. Strong focus on security, observability, CI/CD, model evaluation, performance optimization, and cross-functional collaboration, including HIPAA-compliant healthcare workflows and explainable decision support.

Padmini Komma

AI Engineer, Data Scientist, AI Developer, +4

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Senior Generative AI & Python Data Engineer with 10+ years of experience building production-grade AI, Generative AI, machine learning, and data engineering platforms across healthcare, financial services, retail, and banking. Hands-on experience delivering LLM-powered applications, RAG and agentic workflows, real-time risk/fraud systems, recommendation engines, and large-scale data pipelines. Experienced end-to-end across secure data ingestion, OCR/document intelligence, feature engineering, model training, API development, cloud deployment, monitoring, and automation. Strong focus on security, observability, CI/CD, model evaluation, performance optimization, and cross-functional collaboration, including HIPAA-compliant healthcare workflows and explainable decision support.…Senior Generative AI & Python Data Engineer with 10+ years of experience building production-grade AI, Generative AI, machine learning, and data engineering platforms across healthcare, financial services, retail, and banking. Hands-on experience delivering LLM-powered applications, RAG and agentic workflows, real-time risk/fraud systems, recommendation engines, and large-scale data pipelines. Experienced end-to-end across secure data ingestion, OCR/document intelligence, feature engineering, model training, API development, cloud deployment, monitoring, and automation. Strong focus on security, observability, CI/CD, model evaluation, performance optimization, and cross-functional collaboration, including HIPAA-compliant healthcare workflows and explainable decision support.

Available to hire

Senior Generative AI & Python Data Engineer with 10+ years of experience building production-grade AI, Generative AI, machine learning, and data engineering platforms across healthcare, financial services, retail, and banking. Hands-on experience delivering LLM-powered applications, RAG and agentic workflows, real-time risk/fraud systems, recommendation engines, and large-scale data pipelines.

Experienced end-to-end across secure data ingestion, OCR/document intelligence, feature engineering, model training, API development, cloud deployment, monitoring, and automation. Strong focus on security, observability, CI/CD, model evaluation, performance optimization, and cross-functional collaboration, including HIPAA-compliant healthcare workflows and explainable decision support.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior Generative AI & Python Data Engineer at Elevance Health

December 1, 2024 - Present

Designed and developed an AI-powered healthcare claims automation platform, including an AI Evidence Packet framework that combines claim details, member history, policy citations, coding validation, authorization status, and reviewer notes into a single explainable decision-support view. Implemented a confidence-based exception routing model to separate low-risk automated recommendations from complex claims requiring human review, boosting reviewer productivity while maintaining compliance controls. Introduced a policy-change impact workflow to identify affected claim types, denial reasons, and coding rules when medical policies change, reducing manual analysis for operations teams. Built end-to-end ingestion pipelines using PySpark, Kafka, Airflow, and REST APIs; developed document intelligence workflows with OCR and AWS Textract; normalized healthcare codes; implemented a production-grade RAG pipeline with embeddings and vector stores; created LangGraph-based agentic workflows coord

Senior AI & Data Engineer at Capco

August 1, 2022 - November 1, 2024

Built a Fraud Signal Intelligence Layer unifying transaction, login, device, merchant, and behavioral signals into reusable risk features for real-time scoring and batch analytics. Created an Analyst Feedback-to-Model Learning Loop to convert fraud investigator decisions into retraining signals, reducing false positives and improving model precision. Introduced a GenAI Fraud Case Narrative Engine using Azure OpenAI to generate analyst-friendly risk summaries and recommended next actions. Designed real-time fraud pipelines with Kafka, Spark Structured Streaming, PySpark, and SQL; developed risk features (velocity, geo-distance mismatch, device change, merchant risk, failed login patterns). Established model training pipelines with Airflow, MLflow, AWS S3, and Snowflake; deployed real-time inference services via FastAPI, Docker, Kubernetes, AKS; implemented SHAP explanations and fraud monitoring dashboards with Tableau/Prometheus/Grafana. Strengthened security with cloud controls and RBA

Applied Machine Learning & Python Data Engineer at Home Depot

November 1, 2019 - July 1, 2022

Led Dynamic Pricing Intelligence and Recommendation Platform initiatives. Built ML models (XGBoost, LightGBM, Scikit-Learn, time-series) for demand-based and inventory-aware pricing decisions. Developed personalized recommendation logic using collaborative filtering, content-based filtering, embeddings, and customer behavior signals. Created scalable data pipelines (Python, PySpark, Kafka, Airflow, SQL, AWS) processing pricing, product, inventory, and customer activity data. Deployed models and APIs via AWS SageMaker, Docker, Kubernetes; set up CI/CD, MLflow, Prometheus, and Grafana for monitoring. Collaborated with pricing, merchandising, and digital commerce teams to improve pricing speed and recommendation relevance.

Senior Python Data Engineer at Truist Financial

August 1, 2017 - September 1, 2019

Implemented a Real-Time Fraud Detection & Customer Analytics Data Platform to process large-scale financial transactions, detect anomalies, and trigger alerts using Kafka, Spark Streaming, Python, and ML techniques. Built a customer intelligence platform with unified views, segmentation, and risk assessment to support personalized banking strategies. Architected end-to-end data pipelines (inflow, transformation, storage, visualization) with Kafka, Spark Streaming, AWS S3, and PostgreSQL; delivered streaming fraud detection workflows and backend services via FastAPI/Flask; created dashboards with React/Tableau; enforced secure data access (OAuth2/JWT) and enterprise-grade security.

Python Data Engineer at InfraSoftTech

June 1, 2015 - May 1, 2017

Designed and supported a Digital Banking Data Integration & Analytics Platform to consolidate customer, account, transaction, and channel data from core banking systems. Developed ETL pipelines using Python, SQL, Spark, and Hadoop; created data transformation scripts; optimized database structures (Oracle, MySQL) and reporting queries. Built REST APIs with Java/Spring Boot for internal apps, supported frontend dashboards with AngularJS/JS/HTML/CSS, and automated batch jobs and workflow scheduling (Oozie, Jenkins). Implemented secure data access, containerized deployments, and CI/CD pipelines; established basic monitoring and observability.